常规油气资源评价方法研究进展与发展方向

doi:10.3969/j.issn.1672-7703.2017.03.003

摘要/Abstract

摘要： 常规油气资源评价方法基于不同原理可以分为成因法、容积法、统计法、类比法和专家评判法五大类，国外油气资源评价以统计法和类比法为主，而中国以成因法为主。文章系统阐述了每类资源评价方法的适用性、优缺点及取得的主要进展，其中成因法、统计法和类比法目前相对比较成熟，也取得了较大的进展；烃源岩有限空间法值得关注，下一步需加强理论和应用研究；专家评判法研究相对薄弱，未来急需加强研究。指出油气资源分级评价、剩余资源空间分布预测、深层-超深层领域资源评价、盆地模拟和大数据应用技术、多方法综合应用的油气资源评价体系、专家决策分析系统和经济评价等是未来油气资源评价的主要发展方向。

关键词: 盆地模拟, 关键参数, 有限空间生烃, 剩余资源, 资源评价, 发展方向

Abstract: Based on various principles, the assessment methods for conventional hydrocarbon resources are divided into five categories, i.e., genetic method, volumetric method, statistical method, analogy method and expert evaluation method. The genetic method is popular in China, while the statistical method and analogy method are dominant in other countries. In this paper, all these methods were illustrated systematically in respect of applicability, advantages, disadvantages and main progress. The genetic method, statistical method and analogy method are more matured with significant progresses. The source-rock limited space method is noteworthy, for which more efforts are required on its theory and application. The expert evaluation method is less studied, for which further efforts are in urgency. It is pointed out that the future hydrocarbon resource evaluation should focus on hierarchy evaluation of hydrocarbon resources, spatial distribution prediction of remaining resources, deep-ultra-deep resource evaluation, hydrocarbon resource assessment system based on basin simulation and big data application technologies as well as the combination of multiple methods, expert decision analysis system and economic evaluation.

Key words: basin simulation, key parameters, hydrocarbon generation in limited space, remaining resources, resource assessment, future development

中图分类号:

TE16

宋振响, 陆建林, 周卓明, 王保华, 杨昊. 常规油气资源评价方法研究进展与发展方向[J]. 中国石油勘探, 2017, 22(3): 21-31.

Song Zhenxiang, Lu Jianlin, Zhou Zhuoming, Wang Baohua, Yang Hao. Research progress and future development of assessment methods for conventional hydrocarbon resources[J]. China Petroleum Exploration, 2017, 22(3): 21-31.

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