Abstract
Shale gas refers to the natural gas trapped within shale formations, which are fine-grained sedimentary rocks rich in petroleum and natural gas resources. It exists in shale rocks as either free gas or adsorbed gas, resulting from the thermal alteration of kerogen, an insoluble organic matter. Shale acts as both the source and reservoir rock for shale gas. When the hydrocarbon generated inside the shale cannot be expelled to the reservoir rock, the shale itself becomes the reservoir. Various factors influence the gas generation and accumulation processes, including the extent and thickness of the shale layer, total organic carbon content, kerogen type, maturity, permeability, mineralogy, and brittleness versus ductility. Although shale rocks serve as both the source and reservoir, the extraction of shale gas requires hydraulic fracturing techniques such as acidization, propane injection, CO2 fracturing, and other methods. The exploration of shale reservoirs involves assessing total organic content, porosity, micro-fractures, and the geometry of porous spaces. Therefore, integrated studies encompassing geological, geochemical, petro-physical, geophysical, geomechanical, and technical aspects are necessary to identify optimal areas for shale gas exploration, exploitation, and recovery.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
1 Introduction
Shale is a common sedimentary rock composed of fine-grained particles, including clay minerals (such as kaolin), quartz, and calcite (Butt 2012; Ibad and Padmanabhan 2022). Its distinctive characteristic is its tendency to split into thin layers, known as fissility, with each layer being less than one centimetre thick (Zhang, 2019a). Shale can also be referred to as mudrock, encompassing clay-rich fissile mudrocks (Gu et al. 2018; Hawkins and Pinches 1992; Zhang et al. 2013). The color of shale varies based on the presence of different minerals, with red, brown, green, and black hues indicating the presence of ferric oxide, iron hydroxide, micaceous minerals, and carbonaceous material, respectively. Shale primarily consists of clay minerals, quartz, feldspar, carbonate minerals, and iron oxides (Hazra et al. 2016; Thickpenny 1984). Clay minerals like kaolinite, montmorillonite, and illite are the major components of shale, with the dominance of specific clay minerals varying depending on the age of the rock (Hazarika et al. 2023a, b). The transformation of clay minerals results in the formation of various minerals such as quartz, chert, calcite, dolomite, ankerite, hematite, and albite (Fan et al. 2015; Ruessink and Harville 1992). Shales contain a significant amount of organic matter, making up about 95% of the organic content in sedimentary rocks (El Nady and Hammad 2015). Black shales, formed in oxygen-deprived conditions, contain reduced free carbon, ferrous iron, and sulfur, which contribute to their dark colorationxrf (Schieber 2011). Shales are commonly found in marine environments with highly saline groundwater (Hazra et al. 2016; Kala et al. 2021a, b). The deposition of shale occurs in slow-moving water, such as lakes, lagoons, river deltas, floodplains, and offshore areas below the wave base. These sediments remain suspended in water for extended periods compared to larger particles like sand. Thick deposits of shale are often found near ancient continental margins and foreland basins. Black shales are prevalent in Cretaceous strata along the margins of the Atlantic Ocean, deposited in fault-bounded silled basins associated with the breakup of Pangea (Schieber 2011). The development of shale's fissility occurs during compaction, where clay particles become strongly oriented into parallel layers. Factors such as the clay composition and the binding of hydrocarbon molecules can influence the degree of fissility. During burial, shale undergoes diagenesis, which involves compaction, lithification, and mineralogical changes. Compaction and pressure solution lead to the reduction of pore space and the cementation of grains (Lash and Blood 2004; Xu et al. 2020; Zheng et al. 2022a, b). Lithification occurs through the deposition of cement and the alteration of clay minerals (Aird 2019). The deeper burial stages are associated with the highest degree of compaction and lithification (Moore and Wade 2013; The Petroleum System Introduction and Definitions, n.d.-b). When shale is exposed through erosion, additional changes occur due to meteoric water, including dissolution of cement and oxidation of pyrite (Mahoney et al. 2019).
Shale is an important source rock for hydrocarbons, including natural gas and petroleum (Hazarika et al. 2023a, b). Its fine particle size and lack of strong currents in the depositional basin contribute to the preservation of organic matter. Over time, the organic matter undergoes chemical changes, transforming into kerogen, which can further convert into graphite and petroleum under higher temperatures and pressures at greater burial depths (Rabbani and Babaei 2021; Zhang et al. 2012, 2013).
1.1 Classification of Shales
Shales are a type of sedimentary rock that forms through the transportation, deposition, and compaction of silt and clay particles. Their main distinguishing characteristic is their fissility, which refers to the property of easily splitting along thin, closely spaced parallel layers. Shales can be classified based on various observable features and the environment in which they were deposited (Okeke and Okogbue 2011a). A brief description about shale classification is given below,
Texture-based classification: Shales are typically composed of fine-grained silt and clay particles, with the dominant constituent determining their classification. If silts dominate, they are called silty shale, and if clays dominate, they are called clay shale. When shales contain significant amounts of sand, they may be referred to as sandy shale or arenaceous shale (Jiang et al. 2017; Okeke and Okogbue 2011a; Slatt 2011).
Mineralogical composition-based classification: Shales can be classified as quartzose, feldspathic, or micaceous shale, depending on the predominant presence of quartz, feldspar, or mica minerals, respectively, as determined through X-ray diffraction (XRD) analysis (Fan et al. 2015; Ruessink and Harville 1992).
Cementation-based classification: Shales, like other sedimentary rocks, are cemented by minerals or elements after deposition and compaction. The dominant cementing material can be used for classification, as it can affect the properties and performance of the shale. Common cementing materials include silica, iron oxide, and calcite or lime, leading to classifications such as siliceous, ferruginous, or calcareous (limy) shales (Athy 1930; Bjørlykke 2015).
Depositional environment-based classification: Shales are deposited in various sedimentary environments, including lacustrine (continental), deltaic (transitional or marginal), and marine environments (Kala et al. 2021a, b). Shales deposited in lacustrine environments contain a mixture of clay, silt, and sand, inorganic carbonate precipitates, and various freshwater invertebrate organisms and plant deposits (Thickpenny n.d.; Zhao et al. 2017). Deltaic shales are characterized by alternating marine transgressions and regressions, shallow depth, and a concentration of kaolinite/illite/montmorillonite clay minerals. Marine shales are typically darker in color, richer in marine planktonic fossils, and found in deeper environments with oxygen deficiency and a concentration of illite/montmorillonite clay minerals (Chutia et al. 2013; Ghosh et al. 2022; Hayashi et al. 1997).
Organic matter content-based classification: Shales can be classified as carbonaceous or bituminous based on their organic matter content. Carbonaceous shales contain dominant organic matter from plant fragments such as pollen grains, stems, and leaves, indicating a continental or transitional depositional environment. Bituminous shales contain dominant organic matter from animal fragments such as fossils, typically associated with deltaic or marine environments. Both carbonaceous and bituminous shales serve as important source rocks for petroleum oil and gas generation, depending on their kerogen content (Hu et al. 2017; Mroczkowska-Szerszeń et al. 2015; Tanykova et al. 2021; Zhang et al. 2012).
Strength-based classification: The strength of shales can be assessed using the slake-durability index, which measures the resistance of the rock to cycles of wetting and drying (Selen et al. 2020; Singh et al. 2005). Shales with a slake-durability index below 80% are classified as soil-like, while those with an index above 80% are classified as rock-like. Soil-like shales undergo Atterberg Limits tests to determine their plasticity index, while rock-like shales are subjected to point load strength tests. The strength characterization of shales can also be derived from stress/strain curves, where soft rocks exhibit ductile behavior and hard rocks exhibit brittle behavior.
Properties of shales: Shales exhibit various petrophysical and geomechanical properties that are used in engineering evaluations. Petrophysical properties include density, porosity, permeability, and clay content, while geomechanical properties include plasticity index, slake-durability index, swelling potential, hardness, point-load strength (tensile), uniaxial compressive strength (Ahmad 2014; Bai et al. 2016; Hazarika et al. 2019).
1.2 Shale as Source Rock and Reservoirs
Shales play a crucial role as source rocks in the generation of petroleum. Certain favorable conditions need to be met for a source rock to have the potential to generate petroleum. These conditions are outlined by various researchers. Total organic carbon (TOC) content: The source rock should have a TOC content greater than 0.5%. Organic matter in the rock contributes to the generation of hydrocarbons. Hydrogen index (H1): The hydrogen index, which represents the hydrogen content of the organic matter, should be greater than 150 mg Hc/g TOC. A higher hydrogen index indicates a higher potential for hydrocarbon generation Wotanie et al. 2022).
Oxygen index: The oxygen index, representing the oxygen content of the organic matter, should be less than 160 mg CO2/g organic carbon (org.C). A lower oxygen index indicates favorable conditions for hydrocarbon generation.
Liptinite content: Liptinite is a type of organic maceral that includes certain organic compounds with a high hydrogen content. The source rock should have a liptinite content greater than 15%, indicating a higher potential for petroleum generation.
Temperature range (Oil window): The temperature range within the source rock, known as the oil window, should typically be between 100 and 250 °C. This range is conducive to the transformation of organic matter into petroleum.
Vitrinite reflectance: Vitrinite is another organic maceral that reflects light. The vitrinite reflectance (Ro) should range from 0.5 to 1.2%. This parameter indicates the maturity of the organic matter and its potential to generate petroleum.
Additionally, sufficient organic matter of the right quality, favorable chemical composition of the kerogen, and an appropriate thermal history are also important factors for petroleum generation, as outlined by Tissot. Petroleum traps can be categorized as structural or stratigraphic. Shales play a role in both types of traps. In structural traps, which involve folded or faulted formations, shale acts as a cap or seal rock, preventing the upward migration of hydrocarbons. In stratigraphic traps, which result from facies changes or the presence of coral reefs, shale can act as a seal rock. Shale smears, where shale forms a barrier to fluid migration, are also known to act as seal rocks. In petroleum-rich regions like the Niger Delta, North Sea, and Gulf of Mexico, both structural and stratigraphic traps with shale seals are commonly found, facilitating the accumulation of petroleum. Shales, traditionally considered impermeable, can become viable reservoirs for oil or gas when they undergo natural or induced fracturing. Natural fracturing in shales occurs due to volume changes associated with compaction at great depths. These fractures, often vertical and continuous, are known as joints and can enhance permeability. Systematic fractures occur in parallel sets and intersect other joints or discontinuities, while dip joints are perpendicular to bedding planes (Harding and Lowell 1979; Hill et al. 2007; Okeke and Okogbue 2011b). Naturally fractured shale gas reservoirs, such as the Devonian shales in the Appalachian Basin, Michigan Basin, and Illinois Basin in the United States, have been successfully producing gas since the mid-1980s. Although production rates are generally low (20–200 thousand cubic feet per day), these wells have long life spans. The recovery efficiency of gas in place is also relatively low (5–10%). To optimize gas extraction, horizontal wells are typically drilled into the shale to maximize contact with the gas pay zone. Through fracturing, shale reservoirs can achieve increased permeability, allowing for the accumulation and economic extraction of oil or gas. This reframe acknowledges the transformative potential of fracturing in shale reservoirs, enabling them to serve as productive reservoirs for hydrocarbons (Barati and Liang 2014; Donaldson et al. 2014; Moore and Wade 2013; Wanniarachchi et al. 2017).
2 Shale Reservoir Characterization
In recent years, shale gas resources have gained prominence as a viable energy source, thanks to successful developments in the Mississippian Barnett Shale in the Fort Worth Basin using hydraulic fracturing and horizontal drilling (Hill et al. 2007; Loucks et al. 2009). This breakthrough led geoscientists to explore other shale basins in the United States, such as the Devonian Antrim Shale in the Michigan Basin, Devonian Ohio Shale in the Appalachian Basin, Devonian New Albany Shale in the Illinois Basin, and Cretaceous Lewis Shale in the San Juan Basin (Dong et al. 2019; Dong and Harris 2020; Lash and Blood 2004). Subsequently, the Fayetteville Shale in Arkansas and the Woodford Shale in Oklahoma were also developed in 2004, followed by the Haynesville Shale in 2008 (Chopra et al. 2012). The development of these shale formations challenged the traditional approach of gas generation in source rocks followed by migration into separate reservoir rocks. Shale gas formations serve as both the source and reservoir rocks, eliminating the need for migration. Due to their near-zero permeability, shale formations act as their own seals (Hazarika et al. 2023a, b). The gas within these formations can be trapped as free gas in natural fractures and intergranular porosity, as gas sorbed into kerogen and clay particle surfaces, or as gas dissolved in kerogen and bitumen. Shale gas reservoirs have specific characteristics that determine their potential as productive shale gas plays. These include organic richness (total organic carbon content), maturation level (reflected by vitrinite reflectance), thickness, gas-in-place, permeability, mineralogy, brittleness, pore pressure, and depth (Huang et al. 2020). The optimal combination of these factors contributes to favorable productivity (Boruah et al. 2019; Boruah and Ganapathi 2015).
2.1 Geological and Geohysical Analysis
Given the varying properties of different shale gas reservoirs, it is essential to conduct thorough studies before implementing any exploitation plans. Geophysical workflows, utilizing 3D surface seismic data, are employed to characterize shale gas formations (Chopra et al. 2012). One approach involves using well log data, where resistivity measurements can indicate the presence of nonconducting hydrocarbons in mature rocks (Liu et al. 2018). The ΔlogR technique, proposed by Passey et al. (1990), utilizes scaling of transit time and resistivity curves to identify organic-rich intervals and estimate total organic carbon (TOC) content, which is linearly related to maturity (Kamali and Mirshady 2004). Other attributes from log curves, such as sonic, density, resistivity, and porosity, can be crossplotted to gain further insights and distinguish reservoir zones from non-reservoir zones (Moore et al. 2011; Ogiesoba and Hammes 2014). Løseth et al. (2011) demonstrated the possibility of establishing a relationship between TOC values and acoustic impedance through crossplotting measurements from cores and well logs (Løseth et al. 2011). This relationship can be used to transform acoustic impedance volumes into TOC volumes derived from simultaneous inversion. Shale gas logs typically exhibit high gamma ray readings, high resistivity, and low photoelectric effect due to the presence of kerogen (Fertl et al. 1980). Gamma ray logs can serve as a proxy for predicting TOC content (Lüning and Kolonic 2003). Natural Gamma Ray Spectroscopy (NGS) logs aid in lithology interpretation and can differentiate carbonaceous layers (uranium-rich) from true shales (thorium/potassium-rich), influencing lateral continuity probabilities (7-Natural-Gammaray-Spectrometry-1984, n.d.; Klaja and Dudek 2016). Formation Micro-Imager (FMI) logs are useful for identifying fractures, fracture networks, structures, and rock textures (Watton et al. 2014). These geophysical workflows and log interpretations provide valuable information for characterizing shale gas formations, understanding their properties, and identifying reservoir zones for successful exploitation.
Seismic studies play a crucial role in shale gas exploration, providing valuable information for various purposes. These include the delineation of shale gas beds, determining their thickness and areal extent, estimating closure stress in combination with amplitude-versus-offset (AVO) analysis, identifying optimal areas for hydraulic fracturing, and demarcating zones for fracturing. Researchers have utilized different seismic methods and attributes to study shale gas resources. For example, Gupta (2013) and Guo et al. (2010) used coherence and most-negative principal curvature to map lineaments correlated to subtle faults seen on vertical seismic data in the Anadarko Basin and Arkoma Basin, respectively (Guo et al. n.d.; Gupta et al. 2013). Hill et al. (2002) reported the high spatial variability of petrophysical and petrochemical properties in the Marcellus formation. In 1976, Jaeger and Cook studied the mechanical properties of shale, specifically brittleness and ductility, using seismic data. The seismic properties of kerogen in shale formations exhibit characteristics such as low density (~ 1.3 g/cc) and low velocity. This can result in high amplitude and low impedance reflections, similar to coal, under favorable conditions.
2.2 Geochemical Analysis
Geochemical analysis is another important aspect of shale gas exploration. The hydrocarbon generation potential of shale depends on factors such as the presence of organic matter (at least 0.5% weight), types of organic matter (which determine gas, oil, or both), and thermal maturity. Maturity can be determined using various indicators, including vitrinite reflectance, thermal alteration index, fluorescence, and Lopatin's time–temperature index. Vitrinite reflectance, which measures the reflection of light on the surface of vitrinite, is a widely used method (Hayashi et al. 1997; Kala et al. 2021a, b; Rackley 2017; Singh and Chakraborty 2021).
The permeability of shale is generally negligible, and gas production in commercial quantities requires fractures to provide permeability (Grathoff et al. 2016). Horizontal wells are often used in shale gas formations because natural fractures or joints in most shale formations are vertical (Lecampion et al. 2017). By drilling vertically to the target formation and then horizontally through the shale, more vertical fractures can be intersected. Multistage stimulation treatments, including hydraulic fracturing, are performed to create and extend fractures around the wellbore. Proppant injection is also important to keep the fractures open, and different proppants and fracturing fluids are used depending on the characteristics of the shale formation (Donaldson et al. 2014; LaFollette and Hurt 2016; Montgomery and Smith 2010; Qian et al. 2020a, 2020b).
2.3 Laboratory Characterization
The Helium Porosimeter is a valuable tool used to measure the porosity of rocks and calculate their grain density. It plays a crucial role in determining permeability through air by utilizing Ultraperm 400, which relies on steady-state gas flow measurement. This equipment combines data acquisition and real-time graphical display with mass flow, providing more accurate and precise permeability data.
X-ray powder diffraction (XRD) is a rapid analytical technique primarily used for identifying the crystalline phase of a material. It helps in determining unit cell dimensions and is particularly useful for identifying unknown crystalline materials. XRD analysis involves finely grinding and homogenizing the material, determining its average bulk composition, and then scanning it using an X-ray diffractometer after powdering it to 300 mesh using the Fritsch Micro Pulverisette-7 instrument (Josh et al. 2012; Kurtulus et al. 2012; Muktadir et al. 2021).
The scanning electron microscope (SEM) uses a focused beam of high-energy electrons to generate various signals from the surface of solid specimens. SEM is commonly used to generate high-resolution images and assists in identifying phases based on qualitative chemical analysis and crystalline structure. Operating at voltages between 10e20 kV, SEM allows for magnification of up to 20,000×. X-ray microtomography is another technique that can be used to create a 3D virtual model of a specimen without damaging the original sample. Microtomography scanners provide isotropic or near isotropic resolution, allowing for alternative representations of the volume by stacking individual slices (Chandra et al. 2023; Hazra et al. 2016; Sohail et al. 2020; Zheng et al. 2022a, 2022b).
Before evaluating a field for shale gas, it is essential to acquire total organic carbon (TOC) and vitrinite reflectance (VRO) data from the formation (El Nady and Hammad 2015; Kar et al. 2022; Pan et al. 2020). Conventional core or side wall core analysis is the preferred method for acquiring this data. Combining these properties with basin modeling studies can provide valuable insights into the hydrocarbon potential volume. Petrophysical analysis encompasses both core analysis and log analysis, which involve determining physical rock properties based on lithological characteristics, identifying sedimentary structures, and analyzing lithology, visible fractures, and partings. A typical shale gas log displays high gamma values, high resistivity, and low photoelectric effects due to the high concentration of kerogen and low water saturations.
Geomechanical studies play a vital role in identifying sweet spots in shale gas reservoirs. Unlike conventional plays that primarily focus on wellbore stability or sand production, shale gas reservoirs require extensive core and core plug studies. The Vp/Vs ratio and P-impedance can be used to differentiate shale reservoirs from non-reservoir shales, with shale gas reservoirs typically exhibiting lower Vp/Vs ratios (Alam et al. 2021; Sohail et al. 2020; Vermylen 2011).
Figure 1 shows an example from the Barren Measures Formation of the Raniganj Field, and their classification the shale based on laboratory analysis of the shale samples (Boruah et al. 2019).
Reservoir properties analysis has increasingly been carried out at the nanometer scale to understand pore geometry, organic material storage, hydrophobic pore walls, and gas-wetting in shale reservoirs. The location, distribution, and amount of organic matter within gas shales are crucial parameters for estimating gas reserves. However, the understanding of connectivity between different pore and wettability systems remains limited. Shale gas flow is controlled by diffusion, adsorption, and desorption mechanisms, with viscous flow, Knudsen diffusion, and molecular diffusion being the main types. Efforts are ongoing to develop numerical simulators that incorporate flow modelling in mixed wettability systems (Kudapa et al. n.d.; Michel et al. 2011; Tian et al. 2014; Zhang 2019a, 2019b, 2019c).
Exploring and exploiting shale gas reservoirs require a comprehensive approach that integrates various techniques. Geological, geochemical, geophysical, and reservoir characterization techniques are employed to gain a thorough understanding of the shale reservoir. Advanced laboratory techniques, including micro to nano scale imaging techniques, are crucial for studying the shale reservoir and its properties (Hazra et al. 2016; Sohail et al. 2020). These techniques help in analyzing the pore structure, organic content, and connectivity within the reservoir, providing valuable insights for efficient exploration and exploitation processes (Fig. 2) (Chopra et al. 2012).
Understanding the pore-size distribution of shale is crucial for estimating its transport and storage behaviour (Fig. 3). Shale possesses complex multiple-scale pore structures that are more intricate than those found in conventional reservoir rocks (Kuila and Prasad 2013a). Despite having low porosity, shale has the ability to hold a significant amount of natural gas in an adsorbed state on its internal surfaces (Kuila and Prasad 2013b; Loucks et al. 2009). The Brunauer–Emmett–Teller (BET) theory is commonly used to explain the physical adsorption of gas molecules on a solid surface and is applied in the measurement of the specific surface area of shales (Brunauer, Emmett, Teller 1938). This technique involves multi-layer adsorption using non-corrosive gases such as nitrogen, argon, or carbon dioxide as adsorbents to determine surface area data (Farajzadeh et al. 2009; Macht et al. 2011; Matthias Thommes et al. 2013; Wang et al., 2020). The methane sorption capacity, specific surface area, and pore size distribution of shale can be quantified using the N2 gas adsorption technique, which allows examination of fine pores within the range of 1.7–200 nm (Bustin et al. 2008a, 2008b; Chalmers et al. 2012; Ross and Marc Bustin 2007, 2009).
2.4 Reserve Estimation
There are several numerical equations to estimate the shale gas reserves, which combines both the free and adsorb gases. Mavor et al. (1996) proposed the numerical equations for free gas and adsorbed gas calculation (Mavor et al. 1996).
3 Horizontal Drilling and Hydrofracturing
Horizontal drilling is an effective technique that minimizes land disturbance by allowing multiple wells to be drilled from a single drilling pad. This approach increases the exposure of the wellbore to the shale rock, thereby enhancing the recovery of natural gas from the shale formation (Kim et al. 2015; LaFollette and Hurt 2016; Qian et al. 2020c). Horizontal drilling, combined with hydraulic fracturing (fracking), is the current method used for efficient production from unconventional reservoirs (Zheltov and Khristianovich 1955).
Hydraulic fracturing, commonly known as “fracking,” is a method of extracting natural gas and oil from underground rock formations by injecting high-pressure fluid into the rocks to create fractures. These fractures then allow the trapped hydrocarbons (such as natural gas and oil) to flow more easily to the wellbore and be extracted. Rocks with low permeability, typically less than 1 millidarcy (mD), are ideal candidates for stimulation through hydraulic fracturing. The process involves injecting a high-pressure fluid into the wellbore, exerting enough pressure to fracture or break down the rock formation (Barati and Liang 2014; Gandossi 2013a, 2013b; Lecampion et al. 2017; Möri and Lecampion 2021; Rutqvist et al. 2013; Shimizu et al. 2011; Snapshot and Overview 2021; Stanisławek et al. 2017; Zhao et al. 2014).
The first instance of hydraulic fracturing took place in 1947 in the Hugoton field, Kansas, on a gas well operated by Pan American Petroleum Corp (LaFollette and Hurt 2016). The initial fracturing fluid used, called NALPALM, was a costly and hazardous composition consisting of a gasoline gel mixed with palm oil and cross-linked with naphthenic acid (Arwini 2016). However, in subsequent years, safer fracturing fluids were developed, with water being the primary base fluid. Proppants such as clay, sand, and ceramics are often added to the water-based fluids, and cross-linked fluids using polymers, gelling agents, stabilizers, and breakers are also employed.
Hydraulic fracturing is performed by pressurizing the wellbore to a level higher than the formation's breakdown pressure, ensuring that fractures are created in the rock formation. This process allows for increased permeability and improved flow of oil and gas to the well for extraction. The use of proppant particles in the fracturing fluid is crucial for the success of hydraulic fracturing. These particles serve to suspend in the fluid and hold open the complex network of fractures created during the fracturing process. As the mixture reaches the horizontal section of the wellbore, it is released through the perforations into the surrounding rock at high pressure, contributing to the creation of microfractures. This network of cracks allows the natural gas to flow through and reach the production well, enabling the extraction of gas reserves from the shale formation (Zhao et al. 2014).
Hydraulic fracturing plays a significant role in enhancing the permeability of the reservoir rock and improving shale gas production. However, shale formations are sensitive to water, and the use of conventional fracturing fluids in shale reservoirs can lead to issues such as formation damage, clay swelling, and instability. Mineral hydration and water imbibition can reduce the effective permeability of the rock, while the improper disposal of large volumes of flowback fluids containing chemical additives can pose environmental concerns.
Therefore, there is a current need to develop environmentally friendly fracturing fluids and utilize appropriate hydrofracturing technologies with limited fluid usage. Recent research has explored the application of waterless fracturing fluids to mitigate environmental issues, and laboratory investigations have shown the effectiveness of liquid carbon dioxide (CO2) as a hydrofracturing fluid (Hazarika and Boruah 2021). CO2 fracturing has been suggested as a favorable technique due to its multiple benefits, including carbon sequestration, increased production, and reduced environmental hazards (Cai et al. 2007; Wang et al. 2013; Zhao et al. 2021).
4 Conclusion
In conclusion, shale rocks exhibit compositional variations, with higher clay mineral content indicating a higher likelihood of fissility. Heterogeneity of shale reservoirs is a crucial factor in commercial shale gas production. Technological advancements in hydraulic fracturing and horizontal drilling have been key to the successful development of shale gas plays. Integrated studies involving geology, geophysics, geochemistry, petrophysics, and geomechanics can help delineate potential shale plays and identify sweet spots for shale gas exploration and exploitation.
Shale gas resources have emerged as a highly promising energy source to meet the growing future energy demand. These resources are primarily found in organically rich (> 2%) and mature to post-mature shales with a brittle mineral composition. These shales serve as excellent sources and reservoirs for shale gas exploration. However, due to their impermeable nature and nano-scale pores, natural micro fractures are crucial for the extraction of natural gases. Artificial fracturing techniques, such as hydraulic fracturing, can be employed to stimulate the shales and enhance gas extraction.
References
Ahmad, M. (2014). Petrophysical and Mineralogical Evaluation of Shale Gas Reservoirs (A Cooper Basin Case Study). Master Thesis, January, 214.
Aird, P. (2019). Deepwater Geology & Geoscience. In Deepwater Drilling (pp. 17–68). Elsevier. https://doi.org/10.1016/b978-0-08-102282-5.00002-8
Alam, J., Gogoi, T., & Chatterjee, R. (2021). Geomechanical characterization of subsurface formations with stress rotation in Assam Gap, Northeast India. Journal of Earth System Science, 130(3). https://doi.org/10.1007/s12040-021-01640-z
Arwini, S. (2016). Hydraulic Fracturing Technique to Improve Well Productivity and Oil Recovery in Deep Libyan Sandstone Reservoir Seismic History Matching Project View project Hydraulic Fracturing Technique to Improve Well Productivity and Oil Recovery in Deep Libyan Sandstone Reservoir (Vol. 1). https://www.researchgate.net/publication/349213703
Athy, L. F. (1930). American Association of Petroleum Geologists Density, Porosity, and Compaction Of Sedimentary Rocks’ (Vol. 14, Issue 1).
Bai, B., Sun, Y., & Liu, L. (2016). Petrophysical properties characterization of Ordovician Utica gas shale in Quebec, Canada. Petroleum Exploration and Development, 43(1), 74–81. https://doi.org/10.1016/S1876-3804(16)30008-8
Barati, R., & Liang, J. T. (2014). A review of fracturing fluid systems used for hydraulic fracturing of oil and gas wells. Journal of Applied Polymer Science, 131(16), 1–11. https://doi.org/10.1002/app.40735
Bjørlykke, K. (2015). Compaction of sedimentary rocks: Shales, sandstones and carbonates. In Petroleum Geoscience: From Sedimentary Environments to Rock Physics, Second Edition (pp. 351–360). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-34132-8_13
Boruah, A., & Ganapathi, S. (2015). Microstructure and pore system analysis of Barren Measures shale of Raniganj field, India. Journal of Natural Gas Science and Engineering, 26, 427–437. https://doi.org/10.1016/j.jngse.2015.05.042
Boruah, A., Rasheed, A., Mendhe, V. A., & Ganapathi, S. (2019). Specific surface area and pore size distribution in gas shales of Raniganj Basin, India. Journal of Petroleum Exploration and Production Technology, 9(2), 1041–1050. https://doi.org/10.1007/s13202-018-0583-8
Bustin, R. M., Bustin, A. M. M., Ross, D. J. K., Canada, S., & Pathi, V. S. M. (2008a). SPE 119892 Impact of Shale Properties on Pore Structure and Storage Characteristics. http://onepetro.org/spesgpc/proceedings-pdf/08SGPC/All-08SGPC/SPE-119892-MS/2756026/spe-119892-ms.pdf/1
Bustin, R. M., Bustin, A. M. M., Ross, D. J. K., Canada, S., & Pathi, V. S. M. (2008b). SPE 119892 Impact of Shale Properties on Pore Structure and Storage Characteristics. http://onepetro.org/spesgpc/proceedings-pdf/08SGPC/All-08SGPC/SPE-119892-MS/2756026/spe-119892-ms.pdf/1
Butt, A. S. (2012). Shale Characterization Using X-Ray Diffraction.
Cai, B., Wang, X., & Jiang, T. (2007). Application of liquid CO2 fracturing technology in coalbed methane. Natural Gas Technology, 1(5), 40–42.
Chandra, D., Bakshi, T., Bahadur, J., Hazra, B., Vishal, V., Kumar, S., Sen, D., & Singh, T. N. (2023). Pore morphology in thermally-treated shales and its implication on CO2 storage applications: A gas sorption, SEM, and small-angle scattering study. Fuel, 331. https://doi.org/10.1016/j.fuel.2022.125877
Chopra, S., Sharma, R. K., Keay, J., & Marfurt, K. J. (2012). Shale gas reservoir characterization workflows. Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012, 1054–1058. https://doi.org/10.1190/segam2012-1344.1
Chutia, A., Sarma, J. N., Assistant, R., & Malaviya, K. D. (2013). Indian Journal of Applied Research X 77 A Study on Geochemical Composition and Source Area Weathering of the Tipam Sandstones from a Few Oil Fields of Upper Assam Basin, India (Issue 8).
Donaldson, E., Alam, W., & Begum, N. (2014). Hydraulic fracturing explained: evaluation, implementation, and challenges: Elsevier. Houston.
Dong, T., & Harris, N. B. (2020). The effect of thermal maturity on porosity development in the Upper Devonian–Lower Mississippian Woodford Shale, Permian Basin, US: Insights into the role of silica nanospheres and microcrystalline quartz on porosity preservation. International Journal of Coal Geology, 217. https://doi.org/10.1016/j.coal.2019.103346
Dong, T., Harris, N. B., McMillan, J. M., Twemlow, C. E., Nassichuk, B. R., & Bish, D. L. (2019). A model for porosity evolution in shale reservoirs: An example from the Upper Devonian Duvernay Formation, Western Canada Sedimentary Basin. AAPG Bulletin, 103(5), 1017–1044. https://doi.org/10.1306/10261817272
El Nady, M. M., & Hammad, M. M. (2015). Organic richness, kerogen types and maturity in the shales of the Dakhla and Duwi formations in Abu Tartur area, Western Desert, Egypt: Implication of Rock–Eval pyrolysis. Egyptian Journal of Petroleum, 24(4), 423–428. https://doi.org/10.1016/j.ejpe.2015.10.003
Fan, C., Yan, J., Huang, Y., Han, X., & Jiang, X. (2015). XRD and TG-FTIR study of the effect of mineral matrix on the pyrolysis and combustion of organic matter in shale char. Fuel, 139, 502–510. https://doi.org/10.1016/j.fuel.2014.09.021
Farajzadeh, R., Andrianov, A., Bruining, H., & Zitha, P. L. J. (2009). Comparative study of CO2 and N2 foams in porous media at low and high pressure-temperatures. Industrial and Engineering Chemistry Research, 48(9), 4542–4552. https://doi.org/10.1021/ie801760u
Fertl, W. H., Atlas Rieke III, D. H., Virginia, W. U., & Inc, T. (1980). Gamma Ray Spectral Evaluation Techniques Identify Fractured Shale Reservoirs and Source-Rock Characteristics.
Gandossi, L. (2013a). An overview of hydraulic fracturing and other formation stimulation technologies for shale gas production. In JRC Technical Reports (Issue EUR 26347 EN). https://doi.org/10.2790/379646
Gandossi, L. (2013b). An overview of hydraulic fracturing and other formation stimulation technologies for shale gas production. Publications Office of the European Union.
Ghosh, S., Ojha, A., & Varma, A. K. (2022). Geochemical signatures of potassium metasomatism in anthracite from the Himalayan fold-thrust belts of Sikkim, India. International Journal of Coal Science and Technology, 9(1). https://doi.org/10.1007/s40789-022-00495-z
Grathoff, G. H., Peltz, M., Enzmann, F., & Kaufhold, S. (2016). Porosity and permeability determination of organic-rich Posidonia shales based on 3-D analyses by FIB-SEM microscopy. Solid Earth, 7(4), 1145–1156. https://doi.org/10.5194/se-7-1145-2016
Gu, Y., Ding, W., Yin, S., Yin, M., & Xiao, Z. (2018). Adsorption characteristics of clay minerals in shale. Petroleum Science and Technology, 36(2), 108–114. https://doi.org/10.1080/10916466.2017.1405031
Guo, Y., Zhang, K., & Marfurt, K. J. (n.d.). Seismic attribute illumination of Woodford Shale faults and fractures, Arkoma Basin, OK.
Gupta, N., Sarkar, S., & Marfurt, K. J. (2013). Seismic attribute driven integrated characterization of the Woodford Shale in west-central Oklahoma. Interpretation, 1(2), SB85–SB96. https://doi.org/10.1190/INT-2013-0033.1
Harding2, T. P., & Lowell^, J. D. (1979). Structural Styles, Their Plate-Tectonic Habitats, and Hydrocarbon Traps In Petroleum Provinces^ (Issue 7).
Hawkins, A. B., & Pinches, G. M. (1992). Engineering description of mudrocks. In Quarterly Journal of Engineering Geology (Vol. 25). http://qjegh.lyellcollection.org/
Hayashi, K.-I., Fujisawa, H., Holland, H. D., & Ohmoto, H. (1997). Geochemistry of ~ 1.9 Ga sedimentary rocks from northeastern Labrador, Canada. In Geochimica et Cosmochimica Acta (Vol. 61, Issue 19).
Hazarika, S., & Boruah, A. (2021). Supercritical CO2 (SCO2) as alternative to water for shale reservoir fracturing. Materials Today: Proceedings, 50, 1754–1757. https://doi.org/10.1016/j.matpr.2021.09.187
Hazarika, S., Boruah, A., & Kumar, H. (2023). Study of pore structure of shale formation for CO2 storage. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2023.06.014
Hazarika, S., Boruah, A., & Saraf, S. (2023). Modeling and simulation study of CO2 fracturing technique for shale gas productivity: a case study (India). Arabian Journal of Geosciences, 16(7), 408. https://doi.org/10.1007/s12517-023-11493-z
Hazarika, S., Singh, A., & Desai, B. G. (2019). Characterization and identification of petrophysical parameters of Shales from Jhuran Formation, Kachchh Basin, India. ASEG Extended Abstracts, 2019(1), 1–3. https://doi.org/10.1080/22020586.2019.12073212
Hazra, B., Varma, A. K., Bandopadhyay, A. K., Chakravarty, S., Buragohain, J., Samad, S. K., & Prasad, A. K. (2016). FTIR, XRF, XRD and SEM characteristics of Permian shales, India. Journal of Natural Gas Science and Engineering, 32, 239–255. https://doi.org/10.1016/j.jngse.2016.03.098
Hill, R. J., Zhang, E., Katz, B. J., & Tang, Y. (2007). Modeling of gas generation from the Barnett Shale, Fort Worth Basin, Texas. American Association of Petroleum Geologists Bulletin, 91(4), 501–521. https://doi.org/10.1306/12060606063
Hu, H., Hao, F., Lin, J., Lu, Y., Ma, Y., & Li, Q. (2017). Organic matter-hosted pore system in the Wufeng-Longmaxi (O3w-S11) shale, Jiaoshiba area, Eastern Sichuan Basin, China. International Journal of Coal Geology, 173(August), 40–50. https://doi.org/10.1016/j.coal.2017.02.004
Huang, H., Li, R., Jiang, Z., Li, J., & Chen, L. (2020). Investigation of variation in shale gas adsorption capacity with burial depth: Insights from the adsorption potential theory. Journal of Natural Gas Science and Engineering, 73(July 2019), 103043. https://doi.org/10.1016/j.jngse.2019.103043
Ibad, S. M., & Padmanabhan, E. (2022). Lithofacies, mineralogy, and pore types in Paleozoic gas shales from Western Peninsular Malaysia. Journal of Petroleum Science and Engineering, 212. https://doi.org/10.1016/j.petrol.2022.110239
In Formation Depositional Sedimentary Environments (Formation of sedimentary rocks) Definition Review of General Concepts. (n.d.).
Jiang, Z., Zhang, W., Liang, C., Wang, Y., Liu, H., & Chen, X. (2017). Basic characteristics and evaluation of shale oil reservoirs.
Josh, M., Esteban, L., Delle Piane, C., Sarout, J., Dewhurst, D. N., & Clennell, M. B. (2012). Laboratory characterisation of shale properties. Journal of Petroleum Science and Engineering, 88–89, 107–124. https://doi.org/10.1016/j.petrol.2012.01.023
Kala, S., Devaraju, J., Tiwari, D. M., Rasheed, M. A., & Lakhan, N. (2021). Organic petrology and geochemistry of Early Permian shales from the Krishna-Godavari Basin, India: Implications for Gondwana palaeoenvironment and climate. Geological Journal, 56(11), 5621–5641. https://doi.org/10.1002/gj.4262
Kala, S., Turlapati, V. Y., Devaraju, J., Rasheed, M. A., Sivaranjanee, N., & Ravi, A. (2021). Impact of sedimentary environment on pore parameters of thermally mature Permian shale: A study from Kommugudem Formation of Krishna Godavari Basin, India. Marine and Petroleum Geology, 132(March), 105236. https://doi.org/10.1016/j.marpetgeo.2021.105236
Kamali, M. R., & Mirshady, A. A. (2004). Total organic carbon content determined from well logs using ΔLogR and Neuro Fuzzy techniques. Journal of Petroleum Science and Engineering, 45(3–4), 141–148. https://doi.org/10.1016/j.petrol.2004.08.005
Kar, N. R., Mani, D., Mukherjee, S., Dasgupta, S., Puniya, M. K., Kaushik, A. K., Biswas, M., & Babu, E. V. S. S. K. (2022). Source rock properties and kerogen decomposition kinetics of Eocene shales from petroliferous Barmer basin, western Rajasthan, India. Journal of Natural Gas Science and Engineering, 100. https://doi.org/10.1016/j.jngse.2022.104497
Kim, K., Ju, S., Ahn, J., Shin, H., Shin, C., & Choe, J. (2015). Determination of key parameters and hydraulic fracture design for shale gas productions. In Proceedings of the Twenty-Fifth International Ocean and Polar Engineering Conference.
Klaja, J., & Dudek, L. (2016). Geological interpretation of spectral gamma ray (SGR) logging in selected boreholes. Nafta-Gaz, 72(1), 3–14. https://doi.org/10.18668/ng2016.01.01
Kudapa, V. K., Sharma, P., Kunal, V., & Gupta, • D K. (n.d.). Modeling and simulation of gas flow behavior in shale reservoirs. https://doi.org/10.1007/s13202-017-0324-4
Kuila, U., & Prasad, M. (2013a). Specific surface area and pore-size distribution in clays and shales. Geophysical Prospecting, 61(2), 341–362. https://doi.org/10.1111/1365-2478.12028
Kurtulus, C., Bozkurt, A., & Endes, H. (2012). Physical and mechanical properties of Serpentinized ultrabasic rocks in NW Turkey. Pure and Applied Geophysics, 169(7), 1205–1215. https://doi.org/10.1007/s00024-011-0394-z
LaFollette, R. F., & Hurt, R. S. (2016). Hydraulic fracturing. Fossil Fuels: Current Status and Future Directions, 229–288. https://doi.org/10.1142/9789814699983_0009
Lash, G. G., & Blood, D. R. (2004). Origin of Shale Fabric by Mechanical Compaction of Flocculated Clay: Evidence from the Upper Devonian Rhinestreet Shale, Western New York, U.S.A. In Journal of Sedimentary Research (Vol. 74, Issue 1). SEPM (Society for Sedimentary Geology.
Lecampion, B., Desroches, J., Jeffrey, R. G., & Bunger, A. P. (2017). Experiments versus theory for the initiation and propagation of radial hydraulic fractures in low-permeability materials. Journal of Geophysical Research: Solid Earth, 122(2), 1239–1263. https://doi.org/10.1002/2016JB013183
Liu, C., Zhao, C. D., Liang, X., Yang, S., & Wang, G. (2018). The Role of Geophysics in the Shale Gas Geology and Engineering Integration. International Geophysical Conference, Beijing, China, 24–27 April 2018, 1529–1532. https://doi.org/10.1190/IGC2018-377
Løseth, H., Wensaas, L., Gading, M., Duffaut, K., & Springer, M. (2011). Can hydrocarbon source rocks be identified on seismic data? Geology, 39(12), 1167–1170. https://doi.org/10.1130/G32328.1
Loucks, R. G., Reed, R. M., Ruppel, S. C., & Jarvie, D. M. (2009). Morphology, genesis, and distribution of nanometer-scale pores in siliceous mudstones of the mississippian barnett shale. Journal of Sedimentary Research, 79(12), 848–861. https://doi.org/10.2110/jsr.2009.092
Lüning, S., & Kolonic, S. (2003). Uranium Spectral Gamma-Ray Response as a Proxy for Organic Richness in Black Shales: Applicability and Limitations. In Journal of Petroleum Geology (Vol. 26, Issue 2).
Macht, F., Eusterhues, K., Pronk, G. J., & Totsche, K. U. (2011). Specific surface area of clay minerals: Comparison between atomic force microscopy measurements and bulk-gas (N2) and -liquid (EGME) adsorption methods. Applied Clay Science, 53(1), 20–26. https://doi.org/10.1016/j.clay.2011.04.006
Mahoney, C., März, C., Buckman, J., Wagner, T., & Blanco-Velandia, V. O. (2019). Pyrite oxidation in shales: Implications for palaeo-redox proxies based on geochemical and SEM-EDX evidence. Sedimentary Geology, 389, 186–199. https://doi.org/10.1016/j.sedgeo.2019.06.006
Matthew J. Mavor; Timothy J. Pratt; Charles R. Nelson; Tom Ann Casey. (1996). Improved Gas-In-Place Determination for Coal Gas Reservoirs . Paper Presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 1996.
Matthias Thommes*, Katsumi Kaneko, Alexander V. Neimark, James P. Olivier, F. R.-R., & Sing, J. R. and K. S. W. (2013). Brunauer-Emmett-Teller (BET) surface area analysis. Pure and Applied Chemistry, 87(9–10), 1051–1069. https://www.ru.ac.za/media/rhodesuniversity/content/nanotechnology/documents/BETRefilweMatshitse.pdf
Michel, G. G., Sigal, R. F., Civan, F., & Devegowda, D. (2011). Parametric investigation of shale gas production considering nano-scale pore size distribution, formation factor, and non-darcy flow mechanisms. Proceedings - SPE Annual Technical Conference and Exhibition, 6, 4471–4490. https://doi.org/10.2118/147438-ms
Montgomery, C. T., & Smith, M. B. (2010). Hydraulic fracturing: History of an enduring technology. In JPT, Journal of Petroleum Technology (Vol. 62, Issue 12, pp. 26–32). Society of Petroleum Engineers. https://doi.org/10.2118/1210-0026-jpt
Moore, C. H., & Wade, W. J. (2013). Natural fracturing in carbonate reservoirs. In Developments in Sedimentology (Vol. 67, pp. 285–300). Elsevier B.V. https://doi.org/10.1016/B978-0-444-53831-4.00011-2
Moore, W. R., Zee Ma, Y., Urdea, J., & Bratton, T. (2011). Uncertainty analysis in well-log and petrophysical interpretations. AAPG Memoir, 96, 17–28. https://doi.org/10.1306/13301405M963478
Möri, A., & Lecampion, B. (2021). Arrest of a radial hydraulic fracture upon shut-in of the injection. In International Journal of Solids and Structures (Vols. 219–220, pp. 151–165). https://doi.org/10.1016/j.ijsolstr.2021.02.022
Mroczkowska-Szerszeń, M., Ziemianin, K., Brzuszek, P., Matyasik, I., & Jankowski, L. (2015). The organic matter type in the shale rock samples assessed by FTIR-ATR analyses. Nafta-Gaz, 06(June), 361–369. https://doi.org/10.17632/rx8jp7chkv.2
Muktadir, G., Amro, M., Kummer, N., Freese, C., & Abid, K. (2021). Application of x-ray diffraction (Xrd) and rock–eval analysis for the evaluation of middle eastern petroleum source rock. Energies, 14(20), 1–16. https://doi.org/10.3390/en14206672
Ogiesoba, O., & Hammes, U. (2014). Seismic-attribute identification of brittle and TOC-rich zones within the Eagle Ford Shale, Dimmit County, South Texas. Journal of Petroleum Exploration and Production Technology, 4(2), 133–151. https://doi.org/10.1007/s13202-014-0106-1
Okeke, O. C., & Okogbue, C. O. (2011a). Shales: A Review of their Classifications, Properties and Importance to the Petroleum Industry. In Global Journal of Geological Sciences (Vol. 9, Issue 1). www.globaljournalseries.com.
Okeke, O. C., & Okogbue, C. O. (2011b). Shales: A Review of their Classifications, Properties and Importance to the Petroleum Industry. In Global Journal of Geological Sciences (Vol. 9, Issue 1). www.globaljournalseries.com.
Pan, B., Li, Y., Zhang, M., Wang, X., & Iglauer, S. (2020). Effect of total organic carbon (TOC) content on shale wettability at high pressure and high temperature conditions. Journal of Petroleum Science and Engineering, 193. https://doi.org/10.1016/j.petrol.2020.107374
Qian, Y., Guo, P., Wang, Y., Zhao, Y., Lin, H., & Liu, Y. (2020a). Advances in Laboratory-Scale Hydraulic Fracturing Experiments. Advances in Civil Engineering, 2020(1). https://doi.org/10.1155/2020/1386581
Qian, Y., Guo, P., Wang, Y., Zhao, Y., Lin, H., & Liu, Y. (2020b). Advances in Laboratory-Scale Hydraulic Fracturing Experiments. Adv. Civ. Eng. https://doi.org/10.1155/2020/1386581
Qian, Y., Guo, P., Wang, Y., Zhao, Y., Lin, H., & Liu, Y. (2020c). Advances in Laboratory-Scale Hydraulic Fracturing Experiments. 2020(1).
Quirein, J., Praznik, G., Galford, J., Chen, S., Murphy, E., & Witkowsky, J. (2013). A workflow to evaluate mineralogy, porosity, TOC, and hydrocarbon volume in the Eagle Ford Shale. Society of Petroleum Engineers - Asia Pacific Unconventional Resources Conference and Exhibition 2013: Delivering Abundant Energy for a Sustainable Future, 1, 189–205. https://doi.org/10.2118/167012-ms
Rabbani, A., & Babaei, M. (2021). Image-based modeling of carbon storage in fractured organic-rich shale with deep learning acceleration. Fuel, 299(February), 120795. https://doi.org/10.1016/j.fuel.2021.120795
Rackley, S. A. (2017). Geochemical and biogeochemical features, events, and processes. Carbon Capture and Storage, 365–386. https://doi.org/10.1016/b978-0-12-812041-5.00014-3
Ross, D. J. K., & Marc Bustin, R. (2009). The importance of shale composition and pore structure upon gas storage potential of shale gas reservoirs. Marine and Petroleum Geology, 26(6), 916–927. https://doi.org/10.1016/j.marpetgeo.2008.06.004
Ruessink, B. H., & Harville, D. G. (1992). Quantitative analysis of bulk mineralogy. The applicability and performance of XRD and FTIR. 533–546. https://doi.org/10.2523/23828-ms
Rutqvist, J., Rinaldi, A. P., Cappa, F., & Moridis, G. J. (2013). Modeling of fault reactivation and induced seismicity during hydraulic fracturing of shale-gas reservoirs. Journal of Petroleum Science and Engineering, 107, 31–44. https://doi.org/10.1016/j.petrol.2013.04.023
Schieber, J. (2011). Marcasite in black shales - A mineral proxy for oxygenated bottom waters and intermittent oxidation of carbonaceous muds. Journal of Sedimentary Research, 81(7), 447–458. https://doi.org/10.2110/jsr.2011.41
Selen, L., Panthi, K. K., & Vistnes, G. (2020). An analysis on the slaking and disintegration extent of weak rock mass of the water tunnels for hydropower project using modified slake durability test. Bulletin of Engineering Geology and the Environment, 79(4), 1919–1937. https://doi.org/10.1007/s10064-019-01656-2
Shimizu, H., Murata, S., & Ishida, T. (2011). The distinct element analysis for hydraulic fracturing in hard rock considering fluid viscosity and particle size distribution. International Journal of Rock Mechanics and Mining Sciences, 48(5), 712–727. https://doi.org/10.1016/j.ijrmms.2011.04.013
Singh, A. K., & Chakraborty, P. P. (2021). Geochemistry and hydrocarbon source rock potential of shales from the Palaeo-Mesoproterozoic Vindhyan Supergroup, central India. Energy Geoscience, xxxx. https://doi.org/10.1016/j.engeos.2021.10.007
Singh, T. N., Verma, A. K., Singh, V., & Sahu, A. (2005). Slake durability study of shaly rock and its predictions. Environmental Geology, 47(2), 246–253. https://doi.org/10.1007/s00254-004-1150-9
Slatt, R. M. (2011). Important geological properties of unconventional resource shales. In Central European Journal of Geosciences (Vol. 3, Issue 4, pp. 435–448). https://doi.org/10.2478/s13533-011-0042-2
Snapshot, M., & Overview, M. (2021). Hydraulic Fracturing Market - Growth, Trends, COVID-19 Impact, and. 1–6.
Sohail, G. M., Hawkes, C. D., & Yasin, Q. (2020). An integrated petrophysical and geomechanical characterization of Sembar Shale in the Lower Indus Basin, Pakistan, using well logs and seismic data. Journal of Natural Gas Science and Engineering, 78. https://doi.org/10.1016/j.jngse.2020.103327
Stanisławek, S., Kȩdzierski, P., & Miedzińska, D. (2017). Laboratory Hydraulic Fracturing Tests of Rock Samples with Water, Carbon Dioxide, and Slickwater. Archives of Civil Engineering, 63(3), 139–148. https://doi.org/10.1515/ace-2017-0033
Tanykova, N., Petrova, Y., Kostina, J., Kozlova, E., Leushina, E., & Spasennykh, M. (2021). Study of organic matter of unconventional reservoirs by ir spectroscopy and ir microscopy. Geosciences (Switzerland), 11(7). https://doi.org/10.3390/geosciences11070277
The Petroleum System Introduction and Definitions. (n.d.-a).
Thickpenny, A. (n.d.). Palaeo-oceanography and Depositional Environment of the Scandinavian Alum Shales: Sedimentological and Geochemical Evidence.
Thickpenny, A. (1984). The sedimentology of the Swedish Alum Shales. Geological Society, London, Special Publications, 15(1), 511–525. https://doi.org/10.1144/GSL.SP.1984.015.01.33
Tian, L., Xiao, C., Liu, M., Gu, D., Song, G., Cao, H., & Li, X. (2014). Well testing model for multi-fractured horizontal well for shale gas reservoirs with consideration of dual diffusion in matrix. Journal of Natural Gas Science and Engineering, 21, 283–295. https://doi.org/10.1016/J.JNGSE.2014.08.001
Vermylen, J. (2011). Geomechanical studies of the Barnett shale. Stanford University.
Wang, X., Gao, R., & Wu, J. (2013). Liquid CO2 fracturing technique for shale gas well.
Wang, Z., Jiang, X., Pan, M., & Shi, Y. (2020). Nano-scale pore structure and its multi-fractal characteristics of tight sandstone by n2 adsorption/desorption analyses: A case study of shihezi formation from the sulige gas filed, ordos basin, china. In Minerals (Vol. 10, Issue 4). https://doi.org/10.3390/min10040377
Wanniarachchi, W. A. M., Ranjith, P. G., & Perera, M. S. A. (2017). Shale gas fracturing using foam-based fracturing fluid: a review. In Environmental Earth Sciences (Vol. 76, Issue 2, pp. 1–15). Springer Verlag. https://doi.org/10.1007/s12665-017-6399-x
Watton, T. J., Cannon, S., Brown, R. J., Jerram, D. A., & Waichel, B. L. (2014). Using formation micro-imaging, wireline logs and onshore analogues to distinguish volcanic lithofacies in boreholes: Examples from Palaeogene successions in the Faroe-Shetland Basin, NE Atlantic. Geological Society Special Publication, 397(1), 173–192. https://doi.org/10.1144/SP397.7
Wotanie, L. V., Agyingi, C. M., Ayuk, N. E., Ngia, N. R., Anatole, D. L., & Eble, C. F. (2022). Petroleum source rock evaluation of organic black shales in the Paleogene N’kapa Formation, Douala Basin, Cameroon. Scientific African, 18. https://doi.org/10.1016/j.sciaf.2022.e01437
Xu, Z., Shi, W., Zhai, G., Peng, N., & Zhang, C. (2020). Study on the characterization of pore structure and main controlling factors of pore development in gas shale. Journal of Natural Gas Geoscience, 5(5), 255–271. https://doi.org/10.1016/j.jnggs.2020.09.003
Zhang, L. (2019a). Shale gas reservoir characteristics and microscopic flow mechanisms. In Developments in Petroleum Science (Vol. 66, pp. 1–47). Elsevier B.V. https://doi.org/10.1016/B978-0-444-64315-5.00001-2
Zhang, L. (2019b). Shale gas reservoir characteristics and microscopic flow mechanisms. In Developments in Petroleum Science (Vol. 66, pp. 1–47). Elsevier B.V. https://doi.org/10.1016/B978-0-444-64315-5.00001-2
Zhang, L. (2019c). Shale gas reservoir characteristics and microscopic flow mechanisms (Vol. 66, pp. 1–47). https://doi.org/10.1016/B978-0-444-64315-5.00001-2
Zhang, T., Ellis, G. S., Ruppel, S. C., Milliken, K., Lewan, M., & Sun, X. (2013). Effect of organic matter properties, clay mineral type and thermal maturity on gas adsorption in organic-rich shale systems. Unconventional Resources Technology Conference 2013, URTC 2013. https://doi.org/10.1190/urtec2013-205
Zhang, T., Ellis, G. S., Ruppel, S. C., Milliken, K., & Yang, R. (2012). Effect of organic-matter type and thermal maturity on methane adsorption in shale-gas systems. Organic Geochemistry, 47, 120–131. https://doi.org/10.1016/j.orggeochem.2012.03.012
Zhao, H., Wu, K., Huang, Z., Xu, Z., Shi, H., & Wang, H. (2021). Numerical model of CO2 fracturing in naturally fractured reservoirs. Engineering Fracture Mechanics, 244(January), 107548. https://doi.org/10.1016/j.engfracmech.2021.107548
Zhao, J., Jin, Z., Jin, Z., Wen, X., Geng, Y., Yan, C., & Nie, H. (2017). Depositional environment of shale in Wufeng and Longmaxi Formations, Sichuan Basin. Petroleum Research, 2(3), 209–221. https://doi.org/10.1016/j.ptlrs.2017.04.003
Zhao, Q., Lisjak, A., Mahabadi, O., Liu, Q., & Grasselli, G. (2014). Numerical simulation of hydraulic fracturing and associated microseismicity using finite-discrete element method. Journal of Rock Mechanics and Geotechnical Engineering, 6(6), 574–581. https://doi.org/10.1016/j.jrmge.2014.10.003
Zheng, A., Bao, H., Liu, L., Tu, M., Hu, C., & Yang, L. (2022a). Investigation of Multiscaled Pore Structure of Gas Shales using Nitrogen Adsorption and FE-SEM Imaging Experiments. Geofluids, 2022. https://doi.org/10.1155/2022/1057653
Zheng, H., Yang, F., Guo, Q., Pan, S., Jiang, S., & Wang, H. (2022). Multi-scale pore structure, pore network and pore connectivity of tight shale oil reservoir from Triassic Yanchang Formation, Ordos Basin. Journal of Petroleum Science and Engineering, 212(September 2021), 110283. https://doi.org/10.1016/j.petrol.2022.110283
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Singh, S., Hazarika, S., Mitra, P., Boruah, A. (2024). Shale Gas Reservoir Characterization: Understanding the Shale Types and Storage Mechanisms for Effective Exploration and Production. In: Boruah, A., Verma, S., Ganguli, S.S. (eds) Unconventional Shale Gas Exploration and Exploitation. Advances in Oil and Gas Exploration & Production. Springer, Cham. https://doi.org/10.1007/978-3-031-48727-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-031-48727-9_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-48726-2
Online ISBN: 978-3-031-48727-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)