Rock physical inversion and quantitative seismic interpretation for the Longmaxi shale gas reservoir-Reference-Cited by-同舟云学术

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Rock physical inversion and quantitative seismic interpretation for the Longmaxi shale gas reservoir

Published:2019-05-23 Issue:3 Volume:16 Page:652-665
ISSN:1742-2132
Container-title:Journal of Geophysics and Engineering
language:en
Short-container-title:

Author:

Deng Xinhui¹,Liu Cai¹,Guo Zhiqi¹,Liu Xiwu²³⁴,Liu Yuwei²³⁴

Affiliation:

1. Jilin University, 130021 Changchun, China

2. State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, 100083 Beijing, China

3. SinoPEC Key Laboratory of Shale Oil/Gas Exploration and Production Technology, 100083 Beijing, China

4. SinoPEC Petroleum Exploration and Production Research Institute, 100083 Beijing, China

Funder

National Natural Science Foundation of China

National Key S&T Special Project of China

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

Link

http://academic.oup.com/jge/advance-article-pdf/doi/10.1093/jge/gxz035/28698050/gxz035.pdf

Reference35 articles.

1. The role of shale anisotropy in reservoir characterization of heterogeneous sands;Avseth,2010

2. Long-wave elastic anisotropy produced by horizontal layering;Backus;Journal of Geophysics Research,1962

3. On the dependence of the elastic properties of a porous rock on the compressibility of the pore fluid;Brown;Geophysics,1975

4. Comment on “Seismic velocities in dry and saturated cracked solids” by Richard J. O'Connell and Bernard Budiansky;Bruner;Journal of Geophysical Research,1976

5. On the elastic moduli of some heterogeneous materials;Budiansky;Journal of the Mechanics & Physics of Solids,1965

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1. Advancing Quantitative Seismic Characterization of Physical and Anisotropic Properties in Shale Gas Reservoirs with an FCNN Framework Based on Dynamic Adaptive Rock Physics Modeling;Applied Sciences;2024-02-11

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3. Optimized rock physics model implementation to characterize the heterogeneous B-interval reservoir facies in the petro-elastic domain, mubarak block, lower indus basin, Pakistan;Kuwait Journal of Science;2023-04

4. Discrimination of lithofacies in tight gas reservoir using field-specific rock physics modeling scheme. A case study from a mature field of middle Indus Basin, Pakistan;Acta Geophysica;2023-03-22

5. Quantitative Seismic Interpretation of Reservoir Parameters and Elastic Anisotropy Based on Rock Physics Model and Neural Network Framework in the Shale Oil Reservoir of the Qianjiang Formation, Jianghan Basin, China;Energies;2022-08-02

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