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Edition and Publication:
< Natural Gas and Oil > Editorial Department
Hosted by:
China Petroleum Engineering & Construction Corporation Southwest Company
Authorized by:
China Petroleum Engineering & Construction Corporation
Co-hosted by:
Overseas Research Center of Research Institute of Petroleum Exploration and Development
Editor in Chief:
Du Tonglin
Vice Editor in Chief:
Tang Xiaoyong,Pu Liming
Address:
No.6, Shenghua Road, High-tech District, Chengdu, Sichuan, China
Postal Code:
610041
Tel:
028-86014709
028-86014500
Email:
cnpc-ngo@cnpc.com.cn
Issue:ISSN 1006-5539
CN 51-1183/TE

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Predication and Estimation on Gas Reservoir of SQW Block in Sulige Gas Field

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Key Words：High frequency extension； Acoustic impedance inversion； High resolution； Effective sandstone； Reservoir prediction

Abstract： Seismic reservoir estimation is a modern technology with strong technical character， but various difficulties exist in estimating thin sand reservoir. Analyzed are reservoirs of He8 and Shan1 sections in SQW block of Sulige Gas Field and researched are characteristics of its vertical thin depth and horizontal discontinuous distribution and conducted is its seismic reservoir estimation. Because seismic dominant frequency of target sections in SQW block is low and seismic responses of the reservoirs are hidden in the responses of thin interbeds， characteristics of the reservoir gas can not be characterized by using seismic attribute parameters. Adopted are high resolution extension frequency processing technology and acoustic resistance inversion technology based on wavelet edge analysis to reprocess seismic data from SQW block and the quality of seismic data is improved accordingly. Reestablished is the effective sandstone discrimination model according to logging statistical analysis results to predict natural gas reservoir distribution. The seismic disposal and reservoir estimation method provides experience with significant reference value and an example for identifying thin interbeds distribution of fluvial deposits and the research results provide a means of predicting Sulige Gas Field reservoir.