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Natural Gas Geoscience ›› 2019, Vol. 30 ›› Issue (9): 1386-1392.doi: 10.11764/j.issn.1672-1926.2019.04.017

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Study on multi⁃point geological statistical inversion technology

Yi-qing Su1(),Tian-sheng Chen2,Yan-shu Yin1(),Li-xin Wang1,Xue-si Zhao3,Xun Hu1   

  1. 1. School of Geosciences，Yangtze University，Wuhan 430100, China
    2. State Key Laboratory of Shale Oil and Gas Enrichment Mechanisims and Effective Development, Beijing 100083, China
    3. Research Center，Shanxi Yanchang Petroleum（Group）Co. Ltd. , Xi’an 710075, China
  • Received:2019-02-14 Revised:2019-04-29 Online:2019-09-10 Published:2019-10-14
  • Contact: Yan-shu Yin E-mail:949996315@qq.com.;yys6587@126.com.

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Abstract:

Traditional seismic reservoir inversion method based on two-point statistics can obtain high resolution inversion results. However, the two-point statistics can′t describe the geological information with complex structure. In this paper, a multi-point geostatistical inversion method is proposed. Firstly, the lithofacies distribution is determined by multi-point geostatistical modeling, and then the elastic parameter field distribution under the control of lithofacies model is obtained by sampling the prior distribution of lithofacies and elastic attributes. Finally, the optimal lithofacies and elastic parameter field are determined by matching synthetic seismic records with theoretical seismic records to realize multi-point geostatistical seismic inversion. The comparative study of theoretical models shows that the results of multi-point geostatistical seismic inversion are of high accuracy, and have the value of popularization and application.

Key words: Two-point geostatistical inversion, Multi-point geostatistical inversion, Seismic reservoir inversion, Lithofacies

CLC Number: 

  • TE132.1+4

Fig.1

A workflow of multipoint geostatistical seismic inversion method"

Fig.2

Lithofacies model (blue: sandstone; grey: mudstone)"

Fig.3

The probability distribution of the elastic properties"

Fig.4

Synthetic seismograms and wave impedance model"

Fig.5

The facies model of multiple point geostatistics (blue: sandstone; grey: mudstone)"

Fig.6

A comparison of seicmic inversion using different methods"

Fig.7

Similarities of the synthesis records and the real records"

Fig.8

Cross validation of the synthesis records and the real records"

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