火成岩基岩潜山复杂岩性识别与预测方法——以琼东南盆地松南低凸起基岩潜山为例  

Identification and prediction method of complex lithology of igneous bedrock buried-hill:A case study of bedrock buried-hill in Songnan low uplift,Qiongdongnan basin

作　　者：叶青 张冲 周伟 陈建 孟迪 汪新光 YE Qing;ZHANG Chong;ZHOU Wei;CHEN Jian;MENG Di;WANG Xinguang(CNOOC China Limited,Hainan Branch,Haikou 570312,Hainan,China;CNOOC China Limited,Zhanjiang Branch,Zhanjiang 524057,Guangdong,China)

机构地区：[1]中海石油(中国)有限公司海南分公司,海南海口570312 [2]中海石油(中国)有限公司湛江分公司,广东湛江524057

出　　处：《中国海上油气》2023年第2期65-77,共13页China Offshore Oil and Gas

基　　金：“十三五”国家科技重大专项“琼东南盆地深水区大中型气田形成条件及勘探关键技术(编号:2016ZX05026-002)”;中海石油(中国)有限公司综合科研项目“南海西部深水气藏开发技术及勘探新领域研究(编号:CNOOC-KJ135 ZDXM38ZJ03 ZJ)”部分研究成果。

摘　　要：火成岩岩性差异影响着储集空间的形成与发育,岩性的精细识别与预测是研究其储层形成与分布的基础。针对琼东南盆地松南低凸起基岩潜山,系统开展了岩石矿物结构和组分鉴定,利用主成分分析原理确定了识别岩性最佳维度的主成分因子,协同SMI波形指示模拟方法预测了主成分参数体的空间分布,并通过第一和第二主成分参数体交会预测了火成岩岩性分布。结果表明,长英质含量大于70%和斜长石含量高于50%时,裂缝密度增加,岩石面孔率普遍变大,储渗性能改善明显,斜长石含量较高的花岗闪长岩和二长花岗岩为储层优势岩性;基于敏感测井曲线分析的两个主成分因子累计方差率为94%,能反映绝大部分岩石信息,对火成岩岩性的识别具有显著的区分能力,岩性识别结果与岩矿鉴定结果吻合率为90%;研究提出了协同测井精细评价、地震波形模拟、地震参数体交会于一体的火成岩岩性预测新方法,预测了研究区潜山岩性分布,研究成果提升了对松南低凸起深水火成岩潜山的岩性认识,对优质储层分布规律研究具有重要指导意义。The lithology difference of igneous rock affects the formation and development of reservoir space,and the fine identification and prediction of lithology is the basis in studying the formation and distribution of reservoir.In view of the bedrock buried-hill in Songnan low uplift of Qiongdongnan basin,the identification and analysis of rock mineral structure and composition were systematically carried out.The principal component factor of the best dimension of lithology identification was determined by principal component analysis method.The spatial distribution of principal component parameter body was predicted by SMI waveform indication simulation method,and the lithology distribution of igneous rock was predicted by the first and the second principal component parameter body intersection method.The results show that when the content of feldspar is greater than 70%and the content of plagioclase is greater than 50%,the fracture density increases,the rock porosity generally increases,and the storage and permeability performance improves significantly.Granodiorite and monzonite granite with high plagioclase content are the predominant lithologies.The cumulative variance rate of the two principal component factors based on the sensitive logging curve is 94%,which can reflect most of the rock information,and has an obvious ability to distinguish igneous lithology.The lithology identification results are 90%consistent with the rock and mineral identification results.Finally,a new lithology prediction method for igneous rocks is proposed,which integrates fine logging evaluation,seismic waveform simulation and seismic parameter body intersection.The lithology distribution of buried-hill in the study area is predicted.The research results improve the lithology understanding of deep-water igneous buried-hill in Songnan low uplift,and have important significance to guide the study of high-quality reservoir distribution law.

关 键 词：火成岩潜山 岩性识别与预测 主成分分析 波形指示模拟 松南低凸起 琼东南盆地 

分 类 号：TE122.1[石油与天然气工程—油气勘探]