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Optimizing schemes of frequency-dependent AVO inversion for seismic dispersion-based high gas-saturation reservoir quantitative delineation

XIN LUO1,2 ,  XUEHUA CHEN1,2,* ,  LEIMING SUN3 ,  JIE ZHANG2 ,  WEI JIANG2
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1 State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Chengdu University of Technology, 1 Erxianqiao Dongsan Road, Chengdu, Sichuan 610059, P.R. China.,
2 Key Lab of Earth Exploration and Information Techniques, Chengdu University of Technology, 1 Erxianqiao Dongsan Road, Chengdu, Sichuan 610059, P.R. China.,
3 Data Processing Company, Geophysical-China Oilfield Services Limited, #788 Nantiao Road, Zhanjiang, Guangdong 524057, P.R. China.,
JSE 2020, 29(2), 173–199;
Submitted: 24 December 2018 | Accepted: 30 January 2020 | Published: 1 April 2020
© 2020 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

Luo, X., Chen, X.H., Sun, L.M., Zhang, J. and Jiang, W., 2020. Optimizing schemes of frequency- dependent AVO inversion for seismic dispersion-based high gas-saturation reservoir quantitative delineation. Journal of Seismic Exploration, 29: 173-199. Previous works demonstrate that dispersion properties can be deduced from frequency-dependent AVO inversion (FDAI). The optimal selection of dispersion-related fluid factors is of great importance to improve the accuracy of fluid identification. In order to quantitatively delineate the reservoir with high gas saturation, we propose an optimal scheme of FDAI to pursue the optimal dispersion factor which is the most sensitive to the high gas saturation reservoir. First, within the seismic frequency band, we construct an objective function to determine the optimal reference frequency by using the dispersion factors calculated from the pre-stack seismic data nearby borehole. Then, we can directly get the optimal dispersion factor related to gas-saturated reservoir according to the fluid indication coefficient. At last, we apply optimal parameters to calculate the dispersion results for seismic data volume. Numerical analysis indicates that the dispersion degree of fluid-saturated reservoir shows an approximate linear increase characteristic with increasing gas saturation. It provides an evidence for the delineation of high gas-saturation reservoirs by using the dispersion anomalies. The seismic field data results illustrate that the dispersion factors inverted by the optimal reference frequency can highlight the dispersion anomalies of gas-saturated reservoirs. Meanwhile, the optimal dispersion factor can delineate the reservoirs with high gas-saturation more accurate while less affected by the background interference of elastic layers than conventional methods. The proposed optimal workflow can improve the accuracy of FDAI and it is feasible to detect the location and spatial distribution of high gas-saturation reservoirs.

Keywords
frequency-dependent AVO inversion
dispersion factor
optimal selection
gas saturation
reservoir delineation.
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Journal of Seismic Exploration, Print ISSN: 0963-0651, Published by AccScience Publishing
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