油气资源评价方法研究进展与新一代评价软件系统

在梳理国外常规与非常规油气资源评价方法研究现状的基础上,归纳出国外重要的常规油气资源评价方法及最新的非常规油气资源评价方法,指出多方法、多学科和多领域的知识综合是评价方法的发展方向,油气资源空间分布定量预测与计算机可视化技术相结合是评价技术的发展方向。通过总结中国历次全国性的油气资源评价特点,分析中国油气资源评价方法体系存在的不足,优选出适合中国勘探现状的评价方法,建立了常规与非常规油气资源评价方法体系,研发了常规与非常规油气资源评价系统。介绍了评价系统的结构、主要功能模块和5大特色技术,即以小面元法为核心的非常规油气资源评价技术、三维三相达西流模拟技术、基于刻度区解剖的类比评价技术、经济评价与环境评价技术和基于WEB-GIS的数据库管理技术。展望了评价系统的推广应用前景。

Research advance of hydrocarbon resource assessment method and a new assessment software system

Based on analyses on research status of foreign conventional and unconventional hydrocarbon resource assessment methods, the key conventional hydrocarbon resource assessment methods and brand-new unconventional hydrocarbon resource assessment methods were summarized in this study. It is pointed out that knowledge fusion of multiple methods, multiple disciplines and multiple domains is the development direction of hydrocarbon assessment method, and integration of computer visualization technology with quantitative prediction for spatial distribution of hydrocarbon resources is the developing orientation of assessment technologies. The deficiencies of China's hydrocarbon resource assessment systems are analyzed based on the characteristics of all previous hydrocarbon resource assessments in China, so as to select the optimal assessment methods for current hydrocarbon exploration. On this basis, the conventional and unconventional hydrocarbon resource evaluation methodology and assessment system are developed. In this study, the structure and main function modules of assessment system are introduced, as well as five major technologies, i.e., the conventional and unconventional hydrocarbon resource assessment technology with small patch method as a core, 3D three-phase Darcy flow simulation technology, analogy assessment technology based on dissection of calibrated units, economic and environment evaluation technology, and database management technology based on WEB-GIS technology. Moreover, the popularization and application prospect of such assessment system is expected.