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灰色关联分析法在页岩储层评价中的应用——以湖南保靖页岩气区块为例 被引量:10

Application of Grey Relational Analysis in Shale Gas Reservoir Evaluation——Taking Shale Gas Block in Baojing Hunan as an Example
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摘要 灰色关联分析法适用于页岩气勘探初期储层资料较少时对页岩储层进行定量评价。在总结页岩气地质特点和影响因素、借鉴美国页岩气储层评价标准的基础上,归纳筛选出总有机碳含量、有机质成熟度、有效厚度、孔隙度、含气量、吸附气含量、储层压力、埋藏深度、黏土矿物含量和储量丰度10个因素作为综合评价页岩储层的指标。将总有机碳含量确定为主因素,其余9个指标看作子因素,经过一系列计算,得到各页岩气储集层的综合评价因子REI。根据REI的大小,对页岩储层进行定量评价。选取北美东部地区、四川盆地、保靖区块、龙山区块的数据进行评价,结果表明,北美Barnett区块的REI最高,四川筇竹寺组的REI最低;对保靖区块各井龙马溪组的数据进行评价,结果表明,保页1井、保参2井周围区域为本区的"甜点"区。本方法实例计算与实际情况一致性好,说明评价方法较为合理、结果可靠。 Grey relational analysis is applicable for shale gas reservoir quantitative evaluation at the early period ofexploration with less reservoir data.Based on summarizing geological characteristics>influencing factors of shale gasand using the United States shale gas reservoir evaluation standard for reference,ten factors that included total organiccarbon content,organic matter maturity,effective thickness,porosity,gas content,adsorbed gas content,formation pressure,buried depth,clay mineral content and reserve abundance were selected as the index of comprehensive evaluation of shale reservoir.The total organic carbon content was determined as the main factor and the remaining nine indicators as a sub factor,after a series of calculations,the comprehensive evaluation scores of shale gas reservoirs were obtained,that was the evaluation factor R£I.The quantitative evaluation of shale reservoir will be proceed according to the size of R£I.Calculating with the data of eastern region of North America,Sichuan basin,Baojing block and Longshan block,the results showed that R£I of North American Barnett block was the highest and R£I of Sichuan Qiongzhusi group was the lowest.Calculating with the Longmaxi group data of wells in Baojing block,the results showed that the area surrounding wells Baoye-1and Baocan-2were the sweet point areas in Baojing block.The calculation of this method was in good agreement with the actual situation,it showed that the grey association analysis was reasonable and the results were reliable.
作者 王衍 马俯波 张海英 桂学明 Wang Yan;Ma Fubo;Zhang Haiying;Gui Xueming(Shenhua Geological Exploration Co., Ltd.,Beijing 102200,China)
出处 《非常规油气》 2017年第6期8-12,18,共6页 Unconventional Oil & Gas
关键词 灰色关联分析 页岩储层 储层评价 关联系数 权重系数 评价因子 grey relational analysis shale gas reservoir reservoir evaluation relational coefficient weight coefticient
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