石油学报 ›› 2023, Vol. 44 ›› Issue (9): 1434-1444.DOI: 10.7623/syxb202309003

• 全油气系统专栏 • 上一篇    下一篇

全油气系统生、排烃和运聚定量分析中的关键问题与解决途径

王飞宇1,2, 冯伟平1,2,3, 庞雄奇1,2, 郭秋麟4, 贾承造2,5   

  1. 1. 中国石油大学(北京)地球科学学院 北京 102249;
    2. 油气资源与工程全国重点实验室, 中国石油大学(北京) 北京 102249;
    3. 中国地质科学院 北京 100037;
    4. 中国石油勘探开发研究院 北京 100083;
    5. 中国石油天然气集团有限公司 北京 100724
  • 收稿日期:2023-06-01 修回日期:2023-07-21 出版日期:2023-09-25 发布日期:2023-10-09
  • 通讯作者: 贾承造,男,1948年3月生,1987年获南京大学博士学位,现为中国科学院院士,中国石油学会会士,《石油学报》编委会主任,《Petroleum Research》主编,长期从事构造地质学、石油地质学研究和油气勘探工作。Email:jiacz@petrochina.com.cn
  • 作者简介:王飞宇,男,1963年12月生,1992年获中国科学院广州地球化学研究所博士学位,现为中国石油大学(北京)地球科学学院教授、博士生导师,主要从事油气地质和地球化学、油气系统分析模拟及工业化应用工作。Email:fywang@cup.edu.cn
  • 基金资助:
    国家自然科学基金顶目(No.41372147)、国家重点基础研究发展计划(973)项目(2012CB214705-04)和国家科技重大专项(2016ZX05007-001)资助。

Key problems and solutions in quantitative analysis of hydrocarbon generation, expulsion, migration and accumulation in whole petroleum system

Wang Feiyu1,2, Feng Weiping1,2,3, Pang Xiongqi1,2, Guo Qiulin4, Jia Chengzao2,5   

  1. 1. College of Geosciences, China University of Petroleum, Beijing 102249, China;
    2. National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum(Beijing), Beijing 102249, China;
    3. Chinese Academy of Geological Sciences, Beijing 100037, China;
    4. PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China;
    5. China National Petroleum Corporation Limited, Beijing 100724, China
  • Received:2023-06-01 Revised:2023-07-21 Online:2023-09-25 Published:2023-10-09

摘要: 全油气系统定量分析技术应用于成因法油气资源评价时主要面临3方面的问题:1生烃量网格计算时如何输入代表性源岩的厚度、总有机碳含量(TOC)和氢指数(HI)以及对应的生烃动力学模型;2如何建立和选择合理的源岩生烃动力学模型参数;3如何合理分析源岩的排烃效率和油气运聚效率。根据含油气盆地源岩和油气数据分析,结合生、排烃算法的演变和发展过程,讨论了如何推动解决以上3个关键问题。一是通过源岩有机相的分级评价来解决在生烃量网格计算中输入参数的代表性问题;二是利用源岩的实测数据和模拟实验数据来联合标定生烃动力学模型;三是利用残留烃数据和运移损失量来确定排烃效率和运聚效率,由此降低成因法油气资源评价的不确定性。

关键词: 全油气系统, 油气资源评价, 烃源岩, 生烃, 残留烃, 运移损失

Abstract: Three key problems are encountered when applying the quantitative analysis technology of the whole petroleum system to evaluate oil-gas resource by genetic method. One is how to input the thickness, total organic carbon (TOC) and hydrogen index (HI) of representative source rocks and the corresponding hydrocarbon generation kinetics model during the grid calculation. Another is how to establish and select reasonable parameters of hydrocarbon generation kinetics model of the source rock. The third is how to reasonably analyze the efficiency of hydrocarbon expulsion, migration and accumulation. Based on analyzing the data of source rock as well as oil and gas in petroliferous basins, in combination with the evolution and development of hydrocarbon generation and expulsion algorithm, this paper discusses how to promote the solution of the above three problems. Firstly, the representation of input parameters in the grid calculation of hydrocarbon generation is solved by the hierarchical evaluation of organic facies of source rock. Secondly, the hydrocarbon generation kinetics model is calibrated from the actual big data of source rock and the simulated experimental data. Thirdly, the efficiency of hydrocarbon expulsion, migration and accumulation is determined from the large data of residual hydrocarbon and migration loss, so as to reduce the uncertainty of hydrocarbon resource evaluation by genetic method.

Key words: whole petroleum system, resource evaluation, hydrocarbon generation, residual hydrocarbon, migration loss

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