东营凹陷页岩油岩相要素测井评价新方法及其应用  

A new method of shale oil facies element logging evaluation and its application in Dongying Sag

作　　者：管倩倩 蒋龙 程紫燕 张典栋 王云鹤 张帆 GUAN Qianqian;JIANG Long;CHENG Ziyan;ZHANG Diandong;WANG Yunhe;ZHANG Fan(Research Institute of Exploration and Development,Sinopec Shengli Oil Field,Dongying,Shandong 257000,China;Downhole Technology Company,CNOOC EnerTech-Drilling&Production Co.,Ltd.,Tianjin 300452,China)

机构地区：[1]中国石化胜利油田分公司勘探开发研究院,山东东营257000 [2]中海油能源发展股份有限公司工程技术分公司井下技术公司,天津300452

出　　处：《油气藏评价与开发》2024年第3期435-445,457,共12页Petroleum Reservoir Evaluation and Development

基　　金：中国石化科技项目“东营凹陷页岩油地质综合评价及甜点预测技术”(P21060-1)。

摘　　要：济阳坳陷东营凹陷页岩油岩相具有岩性复杂、非均质性强的特点,区域分布差异显著,目前尚无较好的测井方法能够识别和评价东营凹陷页岩油岩相特征。针对东营凹陷沙四纯上亚段页岩油岩相特点,从岩心刻度测井出发,结合岩心、薄片和实验分析化验等资料,按照“三端元四要素”的页岩岩相分类方案,明晰不同岩相测井响应特征并优选敏感参数测井曲线,建立了适用的页岩油测井岩相划分方法。结果表明:通过“分层+聚类AHC(合成聚类)”法、Fisher判别法、小波提频法、遗传优化神经网络等数学和地球物理方法结合,识别页岩油不同岩相的岩石组分、沉积构造、岩石结构和有机质含量,解决了因岩性复杂、测井分辨率不够、特殊测井资料不全和有机碳含量(TOC)模型精度不够等因素导致的岩相识别不出的问题,通过岩相四特征的识别,形成了东营凹陷页岩油岩相的测井定量判识方法技术,确定岩相集中段,为页岩油大规模的勘探开发提供了重要的地质依据。The lithofacies of shale oil within the Dongying Sag of the Jiyang Depression are distinguished by their complex lithology,strong heterogeneity,and marked regional distribution variances.Current logging methods inadequately identify and evaluate the lithofacial characteristics of shale oil in this region.This study delves into the lithofacies characteristics of the upper submember of Chunhuazhen Formation of the fourth member of the Shahejie Formation in Dongying Sag,employing core calibration logging integrated with core,thin section,experimental analysis,and testing data.Utilizing the“three terminal elements and four elements”shale lithofacies partitioning scheme as a guiding principle,this research selects responsive characteristics of different lithofacies logging and sensitive parameter logging curves to develop an appropriate shale oil logging lithofacies partitioning method.The approach combines stratification,clustering through Agglomerative Hierarchical Clustering(AHC),Fisher discriminant analysis,wavelet frequency extraction,and genetic optimization neural networks to discern the rock composition,sedimentary structure,rock texture,and organic matter content of different lithofacies.This methodology addresses the challenges posed by complex lithology,limited logging resolution,incomplete special logging data,and inadequate Total Organic Carbon(TOC)model accuracy.By identifying the“four characteristics”of lithofacies,the study establishes a quantitative logging identification method and technology for shale oil lithofacies in Dongying Sag,pinpointing concentrated lithofacies segments.The findings provide a critical geological basis for the large-scale exploration and development of shale oil in the region.

关 键 词：东营凹陷沙四纯上亚段 页岩油岩相 岩石结构 层理构造 有机碳含量 测井评价方法 

分 类 号：TE122[石油与天然气工程—油气勘探]