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

doi:10.7623/syxb202309003

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

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. 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 Feiyu^1,2, Feng Weiping^1,2,3, Pang Xiongqi^1,2, Guo Qiulin⁴, Jia Chengzao^2,5

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/Abstract

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

中图分类号:

TE122.3

王飞宇, 冯伟平, 庞雄奇, 郭秋麟, 贾承造. 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[J]. 石油学报, 2023, 44(9): 1434-1444.

Wang Feiyu, Feng Weiping, Pang Xiongqi, Guo Qiulin, Jia Chengzao. Key problems and solutions in quantitative analysis of hydrocarbon generation, expulsion, migration and accumulation in whole petroleum system[J]. Acta Petrolei Sinica, 2023, 44(9): 1434-1444.

参考文献

[1] LEVORSEN A I.Geology of petroleum[M].San Francisco:Freeman Company,1954.
[2] LEVORSEN A I.Geology of petroleum[M].2nd ed.San Franciso:Freeman and Company,1967.
[3] MAGOON L B,DOW W G.The petroleum system-from source to trap[M].Tulsa,Oklahoma:AAPG,1994.
[4] 石广仁.油气盆地数值模拟方法[M].北京:石油工业出版社,1994.
SHI Guangren.Methods for numerical simulation of oil and gas basins[M].Beijing:Petroleum Industry Press,1994.
[5] 郭秋麟,米石云,石广仁,等.盆地模拟原理方法[M].北京:石油工业出版社,1998.
GUO Qiulin,MI Shiyun,SHI Guangren,et al.Principles and methods of basin simulation[M].Beijing:Petroleum Industry Press,1998.
[6] 庞雄奇.地质过程定量模拟[M].北京:石油工业出版社,2003.
PANG Xiongqi.Modeling of geologic processes[M].Beijing:Petroleum Industry Press,2003.
[7] KAUERAUF A I,HANTSCHEL T.Fundamentals of basin and petroleum systems modeling[M].Berlin:Springer,2009.
[8] AHLBRANDT T S,CHARPENTIER R R,KLETT T R,et al.Global resource estimates from total petroleum systems[M].Tulsa,Oklahoma:AAPG,2005.
[9] JIA Chengzao,PANG Xiongqi,SONG Yan.Whole petroleum system and ordered distribution pattern of conventional and unconventional oil and gas reservoirs[J].Petroleum Science,2023,20(1):1-19.
[10] CURRY D J.Future directions in basin and petroleum systems modeling:a survey of the community[J].AAPG Bulletin,2019,103(10):2285-2293.
[11] 王铁冠,钟宁宁,侯读杰,等.低熟油气形成机理与分布[M].北京:石油工业出版社,1995.
WANG Tieguan,ZHONG Ningning,HOU Dujie,et al.Genetic mechanism and occurrence of immature hydrocarbon[M].Beijing:Petroleum Industry Press,1995.
[12] 黄第藩,张大江,王培荣,等.中国未成熟石油成因机制和成藏条件[M].北京:石油工业出版社,2003.
HUANG Difan,ZHANG Dajiang,WANG Peirong,et al.Genetic mechanism and accumulation condition of immature oil in China[M].Beijing:Petroleum Industry Press,2003.
[13] 支东明,曹剑,向宝力,等.玛湖凹陷风城组碱湖烃源岩生烃机理及资源量新认识[J].新疆石油地质,2016,37(5):499-506.
ZHI Dongming,CAO Jian,XIANG Baoli,et al.Fengcheng alkaline lacustrine source rocks of Lower Permian in Mahu sag in Junggar Basin:hydrocarbon generation mechanism and petroleum resources reestimation[J].Xinjiang Petroleum Geology,2016,37(5):499-506.
[14] 彭平安,贾承造.深层烃源演化与原生轻质油/凝析油气资源潜力[J].石油学报,2021,42(12):1543-1555.
PENG Pingan,JIA Chengzao.Evolution of deep source rock and resource potential of primary light oil and condensate[J].Acta Petrolei Sinica,2021,42(12):1543-1554.
[15] 贾承造.论非常规油气对经典石油天然气地质学理论的突破及意义[J].石油勘探与开发,2017,44(1):1-11.
JIA Chengzao.Breakthrough and significance of unconventional oil and gas to classical petroleum geological theory[J].Petroleum Exploration and Development,2017,44(1):1-11.
[16] JONES R W,DEMAISON G J.Organic facies-stratigraphic concepts and exploration tool[C]//SALDIVAR-SALI A.Proceedings of the Second ASCOPE Conference and Exhibition.Manilla:ASEAN Council on Petroleum,1982:51-68.
[17] PEPPER A S,CORVI P J.Simple kinetic models of petroleum formation.Part I:oil and gas generation from kerogen[J].Marine and Petroleum Geology,1995,12(3):291-319.
[18] TISSOT B P,WELTE D H.Petroleum formation and occurrence[M].2nd ed.Berlin:Springer,1984.
[19] HUNT J M.Petroleum geochemistry and geology[M].2nd ed.New York:W.H.Freeman,1996.
[20] BURNHAM A K.Global chemical kinetics of fossil fuels:how to model maturation and pyrolysis[M].Cham:Springer,2017.
[21] CHATELLIER J Y,JARVIE D M.Critical assessment of shale resource plays[M].Tulsa,Oklahoma:AAPG,2013.
[22] PEPPER A S.Estimating the petroleum expulsion behaviour of source rocks:a novel quantitative approach[M]//ENLAND W A,FLEEL A J.Petroleum migration.London:The Geological Society of London,1991:9-31.
[23] PEPPER A S,CORVI P J.Simple kinetic models of petroleum formation.Part Ⅲ:modelling an open system[J].Marine and Petroleum Geology,1995,12(4):417-452.
[24] 庞雄奇.油气运聚门限与资源潜力评价[M].北京:科学出版社,2014.
PANG Xiongqi.The hydrocarbon migration and accumulaion threshold and the resource potential evaluation[M].Beijing:Science Press,2014.
[25] 柳广弟,刘成林,郭秋麟.油气资源评价[M].北京:石油工业出版社,2018.
LIU Guangdi,LIU Chenglin,GUO Qiulin.Oil and gas resources evaluation[M].Beijing:Petroleum Industry Press,2018.

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

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

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