Seismic isotropic-anisotropic AVO methods for complex lithological reservoir exploration: a case study in Western Depression, Liaohe Oilfieid, China

Liu, Zhishui; Sun, Sam Zandong; Weigong, Meng

doi:10.1190/igcbeijing2014-166

Cited by 1 publication

(2 citation statements)

References 18 publications

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“…It was the control condition of the inversion of the next seismic record. After multiple iterations to minimize the perturbation term between the synthetic and actual seismic records, the acoustic velocity in the formation could be obtained [34].…”

Section: Methodsmentioning

confidence: 99%

“…Processes 2023, 11, x FOR PEER REVIEW 9 of 16 multiple iterations to minimize the perturbation term between the synthetic and actual seismic records, the acoustic velocity in the formation could be obtained [34]. Based on the solved acoustic velocity with iteration processing, the sequence boundaries of the strata were interpreted on the seismic profile compared with the sequences divided by drilling, logging and other data.…”

Section: Methodsmentioning

confidence: 99%

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Prediction of Marine Thin Shale Gas Reservoir with Seismic Phase-Controlled Nonlinear Stochastic Inversion

Xie

Huang

et al. 2023

Processes

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Due to the complicated interference sources and low signal-to-noise ratio of seismic records, conventional seismic inversion methods are difficult to accurately identify shale gas reservoirs with a thickness of less than 10 m. This presents great challenges to shale gas exploration and development in China. Seismic phase-controlled nonlinear stochastic inversion (SPCNSI) is related to the heterogeneity of underground media. With the constraints of the stratigraphic sequence or seismic facies models, the minimum value between the seismic model and seismic record can be solved through iterative processes. Based on the solved acoustic velocity in formation, the constraints for SPCNSI can be formed with the matching relationship between target layers and different sequences in three-dimensional space. The prediction resolution of an unconventional reservoir can be effectively improved by combining logging, geological and seismic information. The method is suitable for predicting thin shale gas reservoirs in complex geological structures. In this study, SPCNSI was developed to predict the thin-layer marine shale gas reservoir in the southeast of Chongqing; the horizontal and vertical distribution characteristics were proven in the Longmaxi Formation and the Wufeng Formation; thin layers with a thickness of less than 7 m were also discovered. According to the results, three sets of potential development areas were determined by the inversion method, and the accuracy and reliability of the method were verified by logging and productivity testing.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%