基于微观孔隙结构的基质储层质量差异展布—以红河油田长8油层为例

Distribution law of reservoir quality based on microscope pore structure characterization of tight reservoir: taking Member 8 of Yanchang Formation in Honghe Oilfield as an example

郭秀娟 夏东领 庞雯 吴胜和 邹敏 王静

中国石化石油勘探开发研究院，北京 100083 中国石化石油勘探开发研究院页岩油气富集机理与有效开发重点实验室，北京 100083 中国石油大学（北京）地球科学学院，北京 102249

Petroleum Exploration and Production Research Institute, SINOPEC, Beijing 100083, China State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Petroleum Exploration and Production Research Institute, SINOPEC, Beijing 100083, China College of Geosciences, China University of Petroleum, Beijing 102249, China

 致密砂岩储层非均质性极强，基质储层质量差异研究难度大、分布规律不清楚。文中从导致基质储层质量差异的根本原因——微观孔隙结构研究入手，在大量岩心分析实验基础上，开展基质储层精细分类及分布研究。结果表明：红河油田长8油层基质储层孔隙结构发育7类孔喉组合样式，不同孔隙结构的储层储渗能力存在较大差异；优选了代表致密储层储集能力的可动流体孔隙度和代表渗流能力的主流喉道半径作为储层质量分类的关键参数，将长8油层致密砂岩基质储层分为4类；搭建微观￣宏观研究桥梁，采用基于沉积的成岩相控方法，预测了4类基质储层质量的展布，为下一步“甜点区”评价及优选奠定了良好的基础。

 Since the tight sandstone reservoir has strong heterogeneity, the quality of the matrix reservoir and the distribution law of reservoir quality are difficult to make clear. Therefore, microscope pore structure which is the fundamental cause of different qualities of reservoir is firstly chosen for deep study. And reservoir classification is carried out based on a large amount of core analysis data in this paper. According to the research, seven patterns of pore?鄄throat configuration are summarized in C8 reservoir, of which porosity and permeability are relatively different. Taking pore structure into account，movable fluid porosity representing porosity capacity and mainstream throat radius representing permeability are determined as two key parameters for reservoir quality revaluation, and four kinds reservoir are divided in C8 tight sandstone in Honghe Oilfield. Building bridge between micro level and macro level during the research, the quality distribution of four reservoir types are predicted according to diagenetic facies and sedimentary characteristics, which provides a good foundation for evaluation and optimization of "sweet spot".

10.6056/dkyqt201906006