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数据挖掘技术在碳酸盐岩储层评价中的应用 被引量:8

Application of Data Mining Technique in the Evaluation of Carbonate Reservoir
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摘要 以川东北龙会场—铁山区块礁滩相储层为研究对象,针对该区现有储层评价标准与大量强非均质性储层不匹配的情况,基于岩心和测井资料,使用数据挖掘中的因子分析和聚类分析对储层进行定量分类,总结每类储层岩石学、沉积学以及物性特征,建立储层定量评价标准。结合前人研究成果和实际产能资料分析和验证,认为此定量评价和传统定性研究结论一致,且突出了储层相控特征,又提高了储层间的对比精度,更适于本区储层的精细研究。 For reef flat facies reservoir in Longhuichang-Tieshan block in northeast Sichuan,the current reservoir evaluation standards don't match the strong heterogeneity reservoirs. Accordingly,based on core and well logging data,factor analysis and cluster analysis in data mining algorisms were utilized to quantitatively classify reservoirs,define the features of petrology,sedimentology and physical properties of each type of reservoirs,and establish quantitative reservoir evaluation standards. By analysis and verification of predecessors' study results and actual productivity data,this quantitative evaluation result is recognized identical to traditional qualitative study results. Moreover,it highlights the feature of facies controlling on reservoir,and increase correlation accuracy between reservoirs. Therefore,it is more suitable for fine study on reservoirs in this area.
出处 《特种油气藏》 CAS CSCD 北大核心 2014年第5期37-42,152-153,共6页 Special Oil & Gas Reservoirs
基金 "构造与油气资源"教育部重点实验室基金"致密砂岩气藏储层的孔隙演化规律--以川西坳陷中段须家河组为例"(TPR-2013-16) 西南石油大学科技基金项目"聚类分析在储层评价中的应用"(KSP13072)
关键词 川东北 储层定量评价 碳酸盐岩储层 聚类分析 因子分析 northeast Sichuan quantitative reservoir evaluation carbonate reservoir cluster analysis factor analysis
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