基于多元统计方法的油气成藏关键因素筛选与分析——以江陵凹陷新沟嘴组岩性油藏为例

Analysis of main controls of stratigraphic reservoirs in Xingouzui Formation of Jiangling Sag based on a multivariate statistical method

彭伟 黄华 杜学斌 张成 何云龙 李宸 赵珂 杨盼

PENG Wei HUANG Hua DU Xuebin ZHANG Cheng HE Yunlong LI Chen ZHAO Ke YANG Pan

1. 中国石化 江汉油田分公司 勘探开发研究院, 武汉 430223; 2. 中国地质大学(武汉) 海洋学院, 武汉 430074; 3. 中国地质大学(武汉) 构造与油气资源教育部重点实验室, 武汉 430074

1. Exploration and Development Research Institute, Jianghan Oilfield Company, SINOPEC, Wuhan, Hubei 430074, China; 2. School of Oceanology, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China; 3. Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, Wuhan, Hubei 430074, China

岩性油藏是江汉盆地江陵凹陷未来油气勘探的重要领域，但其成藏控制因素尚未进行系统研究。基于多元统计方法开展了岩性油藏成藏控制因素筛选分析，提出储层条件是江陵凹陷古近系新沟嘴组岩性油藏成藏的关键因素。江陵凹陷新沟嘴组沉积期处于咸化湖盆沉积环境，硬石膏胶结物含量对新沟嘴组岩性油藏砂岩储层致密化起到主要控制作用。其中，硬石膏胶结物含量达7.5%是储层物性的临界值，当含量小于7.5%时物性好，当含量大于7.5%时储层物性变差明显，测井解释偏干。可利用古水深与硬石膏含量的关系，划分有利储层的分布。

Stratigraphic reservoirs are important areas for future oil and gas exploration in the Jiangling Sag of Jianghan Basin, but their hydrocarbon accumulation controls have not been systematically studied. Based on a multivariate statistical method, some key controls of stratigraphic reservoir formation were analyzed. It was proposed that reservoir conditions were the key factors for reservoir formation in stratigraphic reservoirs in the Paleogene Xingouzui Formation in the Jiangling Sag. When the Xingouzui Formation was deposited, the Jiangling Sag was a salt lake basin. The anhydrite cement content played a major role in controlling sandstone densification in stratigraphic reservoirs in the Xingouzui Formation. The anhydrite cement content of 7.5% is a critical value of reservoir physical properties. When the content is less than 7.5%, the physical properties are good. When the content is more than 7.5%, the reservoir physical properties are obviously deteriorated, and the logging interpretation indicates no petroleum resource. The relationship between paleo water depth and anhydrite content can be used to classify the distribution of favorable reservoirs.

国家科技重大专项（2016ZX05027-001）、国家重点基础研究发展计划（973计划）项目（2014CB239102）、中国石油化工股份有限公司重大专项攻关课题（2DP17009）和中国石油化工股份有限公司项目（P15120）联合资助。

https://doi.org/10.11781/sysydz201902295