Abstract
Conditional simulation approach is the major trend and reseach focus of geostatistic development. In this paper, simulation result, statistical parameters and variogram is analysized by applying sequential indicator simulation to reservoir modeling, besides, the comparison between kriging and sequential simulation method has been made. The result proves the characteristic of conditional simulation and enriches the theory. This paper discusses indicator variation function and indicator model, the smoothing effect of kriging estimation can be seen from simulation results. Finally, the sequential conditional method has been applied to reservoir simulation modeling and theoretical basis and example provides a wide range of choices to describe the real geological conditions.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Zhang, J., Jinkai, W.: Application of the 3D Computer Modeling and Numerical Simulation in the Lower-Middle Series of Strata of Hetaoyuan Formation in Xiaermen Oilfield. In: 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, pp. 201–205 (2008)
Zhang, J., Ma, X., Wang, J.: 3D Geological Modeling of Complex Reservoir Geometries in a Lacustrine-delta System, Sha19 Block of Shanian Oilfield. Sencond ISECS International Colloquiim on Computing, Communication, Control, and Management 4, 455–458 (2009)
Journel, A.G.: Stochastic modeling of a fluvial reservoir:a comparative review of algorithms. Journal of Petroleum Seience and Engineering 21, 95–121 (1998)
Zhang, J., Ma, X., Zhang, Z., Zhang, X.: The Importance of User Interaction In 3D Geological Modeling and Reservoir Exploitation. In: Proceeding of First International Conference on Modelling and Simulation, pp. 290–293 (2008)
Journel, A.G., Alabert, F.: New Method for reservoir mapping. Petroleum Technology 42(2), 212–218
Haldorsen, H., Damsleth, R.: Stochastic modeling. JPT 42(4), 404–412 (1990)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yu, X., Li, X. (2012). The Application of Sequential Indicator Simulation and Sequential Gaussian Simulation in Modeling a Case in Jilin Oilfield. In: Deng, W. (eds) Future Control and Automation. Lecture Notes in Electrical Engineering, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31003-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-31003-4_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31002-7
Online ISBN: 978-3-642-31003-4
eBook Packages: EngineeringEngineering (R0)