A 地区页岩气储层总有机碳含量测井评价方法研究

doi:10.3969/j.issn.1673-8926.2014.03.012

Lithologic Reservoirs ›› 2014, Vol. 26 ›› Issue (3): 74-78.doi: 10.3969/j.issn.1673-8926.2014.03.012

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Research on logging evaluation method of TOC content of shale gas reservoir in A area

XIONG Lei¹， ZHANG Chaomo¹^，²，ZHANG Chong²，X IE Bing¹，DING Yi¹，HAN Shumin³

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1. Geophysics and Oil Resource Institute， Yangtze University， Wuhan 430100， China； 2. Key Laboratory of Exploration Technologies for Oil & Gas Resources， Ministry of Education， Yangtze University， Wuhan 430100， China； 3. Bureau of Geophysics Prospecting Inc.， CNPC， Zhuozhou 072750， Hebei， China

Online:2014-06-06 Published:2014-06-06

Abstract

Abstract:

Total organic carbon（TOC） content of shale gas reservoir reflects the hydrocarbon generation potential of shale rocks. It has an important guiding significance for shale gas development to obtain the TOC content accurately by use of conventional logging data which has characteristics of continuousness and high vertical resolution. Therefore, it is especially important to establish highly precise model of the organic carbon content evaluation. Combining the limiting factors of TOC content evaluation methods with the reality of complex lithological changes of A area, we established three kinds of TOC content models to evaluate shale rocks from X well in A area. They are BP neural network, uranium and kerogen. It is concluded that the BP neural network model is with the highest precision to forecast the total organic carbon content, and provide technical support to TOC content evaluation in complex lithology areas.

Key words: Carboniferous, volcanic rock, reservoir, influencing factors, Junggar Basin

X IONG Lei，ZHANG Chaomo，ZHANG Chong，X IE Bing，DING Yi，HAN Shumin. Research on logging evaluation method of TOC content of shale gas reservoir in A area[J].Lithologic Reservoirs, 2014, 26(3): 74-78.

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