剩余油研究方法综述

doi:10.3969/j.issn.1006-6535.2023.01.002

摘要/Abstract

摘要： 为更加全面了解剩余油的研究方法,通过调研方式对国内外剩余油研究方法及应用进行全面总结。结果表明:沉积微相、微构造、储层流动单元等分析方式以地质基础研究为出发点,是进行剩余油研究的基础;岩心分析法、微观渗流模拟、物理模拟、核磁成像技术是微观剩余油研究的重要手段,从微观角度对剩余油分布特征进行描述;物质平衡法、数值模拟技术是宏观剩余油研究的重要手段,也是油田开发调整的基础数据;测井技术、化学示踪剂监测法、四维地震等方法是剩余油研究手段的有益补充;动态分析方法需要将多专业获取资料进行综合应用,去伪存真,相互验证,从而获取准确的剩余油研究结果。该成果为开发中后期油藏剩余油研究提供借鉴。

关键词: 剩余油, 沉积微相, 微构造, 油藏工程, 室内实验, 监测工艺, 综述

Abstract: In order to better understand the remaining oil research methods, a comprehensive summary of remaining oil research methods and applications in the world was conducted by means of investigation and research. The result shows that the analysis methods of sedimentary micro-phase, micro structure and reservoir flow unit take the basic geological research as the starting point and are the basis for remaining oil research; the core analysis method, micro-seepage simulation, physical simulation and nuclear magnetic imaging technology are important tools for micro-remaining oil research and describe the characteristics of remaining oil distribution from the micro perspective; the material balance method and numerical simulation technology are important tools for macro-remaining oil research and are also the basic data for oilfield development adjustment; the logging technology, chemical tracer monitoring method, four-dimensional seismic method and other methods are useful supplements to remaining oil research methods; for the dynamic analysis method, the data obtained from multiple disciplines need to be synthesized and applied, debunked, and verified against each other to obtain accurate remaining oil research results. This result provides reference for the study of the remaining oil in the middle and late stages of development.

Key words: remaining oil, sedimentary micro-phase, micro structure, oil reservoir engineering, indoor experiments, monitoring process, review

中图分类号:

TE357

汪洋, 黄延明, 同鑫, 葛政廷, 陈峻, 吴頔, 吉少文, 肖飞. 剩余油研究方法综述[J]. 特种油气藏, 2023, 30(1): 14-21.

Wang Yang, Huang Yanming, Tong Xin, Ge Zhengting, Chen Jun, Wu Di, Ji Shaowen, Xiao Fei. Review of Remaining Oil Research Methods[J]. Special Oil & Gas Reservoirs, 2023, 30(1): 14-21.

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