Abstract
Multi-wave exploration is an effective means for improving precision in the exploration and development of complex oil and gas reservoirs that are dense and have low permeability. However, converted wave data is characterized by a low signal-to-noise ratio and low resolution, because the conventional deconvolution technology is easily affected by the frequency range limits, and there is limited scope for improving its resolution. The spectral inversion techniques is used to identify λ/8 thin layers and its breakthrough regarding band range limits has greatly improved the seismic resolution. The difficulty associated with this technology is how to use the stable inversion algorithm to obtain a high-precision reflection coefficient, and then to use this reflection coefficient to reconstruct broadband data for processing. In this paper, we focus on how to improve the vertical resolution of the converted PS-wave for multi-wave data processing. Based on previous research, we propose a least squares inversion algorithm with a total variation constraint, in which we uses the total variance as a priori information to solve under-determined problems, thereby improving the accuracy and stability of the inversion. Here, we simulate the Gaussian fitting amplitude spectrum to obtain broadband wavelet data, which we then process to obtain a higher resolution converted wave. We successfully apply the proposed inversion technology in the processing of high-resolution data from the Penglai region to obtain higher resolution converted wave data, which we then verify in a theoretical test. Improving the resolution of converted PS-wave data will provide more accurate data for subsequent velocity inversion and the extraction of reservoir reflection information.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Chopra, S., Castagna, J. P., and Portniaguine, O., 2006, Seismic resolution and thin-bed reflectivity inversion: CSEG Recorder, 31(1), 19–25.
Chopra, S., Castagna, J. P., and Xu. Y., 2009, Thin-bed reflectivity inversion and some applications: First Break 27(5), 55–62.
Chen, X. H., He, Z. H., Zhu, S. X., et al, 2012, Seismic low-frequency-based calculation of reservoir fluid mobility and its application: Applied Geophysics, 9(3), 326–332.
Cai, X. L., 2000, Application of Yu wavelet to seismic data processing: Oil Geophysical Prospecting, 35(4), 497–507.
Liu, X., Yin, X., Wu, G., et al., 2016, Identification of deep reservoir fluids based on basis pursuit inversion for elastic impedance: Chinese Journal of Geophysics, 59(1), 277–286
Li, G. F., Xiong, J. L., Zhou, H., et al, 2008, Seismic reflection characteristics of fluvial sand and shale interbedded layers: Applied Geophysics, 5(3), 219–229.
Liu, C., Li, B. N., Zhao, X., et al, 2014, Fluid identification based on frequency-dependent AVO attribute inversion in multi-scale fracture media: Applied Geophysics, 11(4), 384–394.
Li, G. F., Qin, D. H., Peng, G. X., et al., 2013, Experimental analysis and application of sparsity constrained deconvolution: Applied Geophysics, 10(2), P191–200.
Long, Y., Han, L. G., Han, L., et al, 2012, Ll norm optimal solution match processing in the wavelet domain: Applied Geophysics, 9(4), P451–458.
Nguyen, T., and Castagna, J., 2010, High resolution seismic reflectivity inversion: Journal of Seismic Exploration, 303–320.
Oyem, A., and Castagna, J., 2013, Layer thickness estimation from the frequency spectrum of seismic reflection data: 83th Annual International Meeting, SEG, Expanded Abstracts, 1451–1455.
Partyka, G. A., Gridley, J. A., and Lopez, J. A., 1999, Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge, 18 353–360
Portniaguine, O., and Castagna, J. P., 2004, Inverse spectral decomposition: 74th Annual International: Meeting, SEG, Expanded Abstracts, 1786–1789.
Portniaguine, O., Castagna J. P., 2005, Spectral inversion: Lessons from modeling and Boonesville case study: 75th Annual International Meeting, SEG, Expanded Abstracts, 1638–164.
Puryear, C. I., and Castagna, J. P., 2006, An algorithm for calculation of bed thickness and reflection coefficients from amplitude spectrum: 76th Annual International Meeting, SEG, Expanded Abstracts, 1767–1770.
Puryear, C. I., and Castagna, J. P., 2008, Layer-thickness determination and stratigraphic interpretation using spectral inversion: Theory and application: Geophysics, 73(2), R37–R48.
Yu, S. P., 1996, Wide-band Ricker wavelet: OGP, V31(5), 615.
Yuan, S. Y., Wang, S. X., and Tian, N., 2009, Swarm intelligence optimization and its application in geophysical data inversion: Applied Geophysics, 6(2), 166–174.
Yang, H., Zheng, X. D., Ma, S. F., et al., 2011, Thin-bed reflectivity inversion based on matching pursuit: SEG Technical Program Expanded Abstracts 2011 2586–2590.
Yuan, S. Y., and Wang, S. X., 2013, Spectral sparse Bayesian learning reflectivity inversion: Geophysical Prospecting, 61(4), 735–746.
Zhou, D., H., Wang, B., Shen, Z., H., and Peng, G., 2014, Geostatistical spectral inversion: the thin layer study using spectral inversion method with Geostatistical Information: SEG Technical Program Expanded Abstracts, 3272–3276.
Zhang, S. Q., Han, L. G., Li, C., et al., 2015, Computation method for reservoir fluid mobility based on highresolution inversion spectral decomposition: Geophysical Prospecting for Petroleum, 54(2), 142–149.
Zhang, L. Y., Wang, Y. C., and Pei, J. Y., 2015, Threecomponent seismic data in thin interbedded reservoir exploration: Applied Geophysics, 13(1), 79–85.
Zhang, J. H., Zhang, B. B., Zhang, Z. J., et al., 2015, Low-frequency data analysis and expansion: Applied Geophysics, 12(2), 212–220.
Zhang, R., and Castagna, J., 2011, Seismic sparse-layer reflectivity inversion using basis pursuit decomposition: Geophysics, 76(6), R147–R158.
Author information
Authors and Affiliations
Corresponding author
Additional information
This work was supported by the China National Petroleum Corporation Scientific research and technology development project (Nos. 2013E-38-08).
Zhang Hua, Received a master’s degree in geophysical and information technology from China University of Petroleum (East China) in 2008, Now study a doctor ‘s degree in Chengdu University of Technology, And engaged in high resolution processing of seismic data in Geophysical Exploration Company, Chuanqing Drilling Engineering Co. Ltd., CNPC.
Rights and permissions
About this article
Cite this article
Zhang, H., He, ZH., Li, YL. et al. Research and application of spectral inversion technique in frequency domain to improve resolution of converted PS-wave. Appl. Geophys. 14, 247–257 (2017). https://doi.org/10.1007/s11770-017-0617-x
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11770-017-0617-x