Author
Listed:
- Han Li
(State Energy Center for Shale Oil Research and Development, Sinopec, Beijing 100083, China
State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China
Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
Innovation Academy for Earth Sciences, Chinese Academy of Sciences, Beijing 100029, China)
- Xiwu Liu
(State Energy Center for Shale Oil Research and Development, Sinopec, Beijing 100083, China
State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China)
- Xu Chang
(Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
Innovation Academy for Earth Sciences, Chinese Academy of Sciences, Beijing 100029, China)
- Ruyue Wu
(Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
Innovation Academy for Earth Sciences, Chinese Academy of Sciences, Beijing 100029, China)
- Jiong Liu
(State Energy Center for Shale Oil Research and Development, Sinopec, Beijing 100083, China
State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China)
Abstract
During unconventional resources exploration, ignoring shale anisotropy may lead to wrong seismic interpretations, thus affecting the accuracy and credibility of sweet spots prediction and reservoir characterization. In order to investigate the impact of shale anisotropy on the seismic wavefield, we propose a quantitative evaluation method by calculating the waveforms’ amplitude and phase deviations. Based on the 3D elastic wave equation and the staggered-grid finite-difference method, the forward modeling theory with the consideration of shale anisotropy is established. Then, we use the envelope misfit (EM) and phase misfit (PM) parameters to illustrate the differences in waveforms’ amplitude and phase morphology, which are caused by anisotropy. Lastly, by comparing the waveforms of the models with/without anisotropy and calculating their EM and PM values, a practical and quantitative evaluation method is constructed. We used synthetic models of different complexity and oilfield models to validate the proposed method. Through the research, we also gained some new insights about the anisotropy’s effects. For a certain medium model, the impact of shale anisotropy on seismic wavefield is complicated and needs specific analysis. The proposed method provides a useful and quantitative tool for the evaluation of shale anisotropy’s impact.
Suggested Citation
Han Li & Xiwu Liu & Xu Chang & Ruyue Wu & Jiong Liu, 2019.
"Impact of Shale Anisotropy on Seismic Wavefield,"
Energies, MDPI, vol. 12(23), pages 1-20, November.
Handle:
RePEc:gam:jeners:v:12:y:2019:i:23:p:4412-:d:289034
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