Application of seismic nonlinear stochastic inversion technique in prediction of CBM reservoir thickness

SHEN Youyi; TIAN Zhongbin; WANG Jianqing; YANG Xiaodong; CHENG Huihui

doi:10.3969/j.issn.1001-1986.2018.02.027

Volume 46 Issue 2

Apr. 2018

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COAL GEOLOGY & EXPLORATION > 2018 > 46(2): 177-183. > DOI: 10.3969/j.issn.1001-1986.2018.02.027

SHEN Youyi, TIAN Zhongbin, WANG Jianqing, YANG Xiaodong, CHENG Huihui. Application of seismic nonlinear stochastic inversion technique in prediction of CBM reservoir thickness[J]. COAL GEOLOGY & EXPLORATION, 2018, 46(2): 177-183. DOI: 10.3969/j.issn.1001-1986.2018.02.027

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Application of seismic nonlinear stochastic inversion technique in prediction of CBM reservoir thickness

1. Shanxi Province Coal Geology Geophysical Prospecting and Surveying and Mapping Institute, Jinzhong 030600, China;
2. Central South University(CSU), Changsha 410083, China

Funds:

Provincial Coal Basis Key Scientific and Technological Project(MQ2014-02)

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Received Date: February 04, 2017
Published Date: April 24, 2018

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Abstract

The identification and prediction of coalbed methane reservoir are an important problems. The conventional inversion method is not very accurate in reservoir prediction and hard to satisfy the actual needs. The nonlinear stochastic inversion method is used to improve the accuracy of reservoir prediction by taking drilling and logging data as the constrained conditions and by extracting the information of amplitude, frequency and phase of the target stratum seismic wave. Compared with the actual geological data, the method has been well applied in Yushe-Wuxiang CMB block, Qinshui coalfield. The consistent rate of prediction precision and drilling-revealed results is high, and the predicted distribution of CMB reservoir thickness coincides with geological law.
- CBM reservoir,
- seismic data,
- nonlinear stochastic inversion,
- reservoir thickness prediction,
- Qinshui coalfield

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Application of seismic nonlinear stochastic inversion technique in prediction of CBM reservoir thickness

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