吉林大学学报(地球科学版) ›› 2016, Vol. 46 ›› Issue (2): 388-397.doi: 10.13278/j.cnki.jjuese.201602108

• 地质与资源 • 上一篇    下一篇

湖相致密油资源地球化学评价技术和应用

王飞宇1,2, 冯伟平1,2, 关晶2, 贺志勇3   

  1. 1. 中国石油大学(北京)油气资源与探测国家重点实验室, 北京 102200;
    2. 中国石油大学(北京)地球科学学院, 北京 102200;
    3. Zetaware公司, 美国德州 77479
  • 收稿日期:2015-07-27 发布日期:2016-03-26
  • 作者简介:王飞宇(1963-),男,教授,主要从事油气地质和地球化学、油气系统定量模拟研究工作,E-mail:fywang@cup.edu.cn
  • 基金资助:

    国家油气专项(2008ZX05007-001);国家自然科学基金项目(41372147)

Geochemical Assessment of Lacustrine Tight Oil and Application

Wang Feiyu1,2, Feng Weiping1,2, Guan Jing2, He Zhiyong3   

  1. 1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102200, China;
    2. College of Geosciences, China University of Petroleum, Beijing 102200, China;
    3. Zetaware Inc, Sugar Land, TX USA 77479
  • Received:2015-07-27 Published:2016-03-26
  • Supported by:

    Supported by National Science and Technology Major Project (2008ZX05007-001) and National Natural Science Foundation of China (41372147)

摘要:

湖相致密油或页岩油资源量和可采性评价关键问题:一是在什么地方;二是有多少;三是有多少可采出。本文讨论了解决这3个问题的关键性地质技术和理论。湖相致密油勘探层空间分布识别的关键是高有机丰度源岩层段和含油夹层精细识别。利用源岩测井地球化学评价技术可识别出湖相地层中不同w(TOC)区间的源岩层段,利用氢指数(IH)与w(TOC)的相关性,可实现湖相源岩层非均质性精细表征。湖相致密油勘探层油的赋存形式分为两类:一是致密油勘探层中砂岩、粉砂岩和碳酸盐岩夹层中的油,呈游离态;二是富有机质源岩中的油,包括了吸附态和游离态。吸附油在目前的技术条件下难以开采,现阶段真正有工业价值的是游离油。根据实际地球化学数据可标定出源岩中游离油量和吸附油量模型,从而可计算出游离油量、吸附油量和总原地油量。致密油流动性控制了其可采性,而源岩成熟度和生烃转化率是控制烃类流动性的关键。利用湖相高丰度源岩(w(TOC)>2%)IH演化可较高精度地标定源岩的成熟度和转化率。以泌阳盆地为例展示了如何从源岩生烃模型和实际岩石热解数据预测页岩油的流动性。

关键词: 致密油, 页岩油, 游离油, 吸附油, 流动性, 泌阳盆地, 地球化学

Abstract:

The three key isssues of the assessment of lacustrine tight oil or shale oil plays are:firstly, where it is (spatial distribution)? secondly, how much original oil existed in-place? and thirdly, how much oil can be produced (mobility of residual hydrocarbon). This paper discusses the geological theory and key technology to solve the forementioned three questions. The key to delineate lacustine tight oil or shale oil plays is refined as the characterization of organic-rich source rock intervals and oil sandwiche. Various source rock intervals can be identified by integrated well logging and geochemical assessment technology with SR-logR, an improved ΔlogR algorithm, and to represent the heterogeneity of lacustrine source rocks by using the positive correlation between hydrogen index IH and w(TOC). Hydrocarbon in lacustrine tight oil or shale oil plays can be splitted into two parts:free oil and adsorbed oil. The former mainly occurs in the various scale interbedded tight reservoir layers within the shale plays, and minor exists in the organic matters enriched intervals; the latter is mainly located in the organic matters enriched intervals in the shale plays. Only free oil has an economical value because the adsorbed oil cannot be produced according to the present exploitation technology. The quantitative model of free oil and adsorbed oil in source rock can be calibrated with practical geochemical data to calulate the amount of free oil, adsorbed oil, and original oil in-place. The recovery ratio of tight oil or shale oil depends on the hydrocarbon mobility, which is controlled by maturity or hydrocarbon conversion rates. Hydrogen index of organic-rich source rocks (w(TOC) more than 2%) and the modified models are recommended to refine maturity or conversion rate. A case study from Biyang basin has been provided to show how to predict hydrocarbon mobility trend from hydrocarbon generation model and practical Rock-Eval data.

Key words: tight oil, shale oil, free oil, adsorbed oil, mobility, Biyang basin, geochemical

中图分类号: 

  • P618.13

[1] 梁狄刚,冉隆辉,戴弹申,等. 四川盆地中北部侏罗系大面积非常规石油勘探潜力的再认识[J].石油学报,2011,32(1):8-17. Liang Digang, Ran Longhui, Dai Danshen, et al. A Re-Recognition of the Prospecting Potential of Jurassic Large-Area and Non-Conventional Oils in the Central-Northern Sichuan Basin[J]. Acta Petrolei Sinica, 2011,32(1):8-17.

[2] 贾承造,邹才能,李建总,等. 中国致密油评价标准、主要类型、基本特征及资源前景[J]. 石油学报,2012,33(3):343-350. Jia Chengzao, Zou Caineng, Li Jianzong. et al. Assessment Criteria, Main Types, Basic Features and Resource Prospect of the Tight Oil in China[J]. Acta Petrolei Sinica, 2012,33(3):343-350.

[3] 杨华,付金华,何海清,等. 鄂尔多斯盆地华庆地区低渗透岩性大油区形成与分布[J].石油勘探与开发,2012,39(6):641-648. Yang Hua, Fu Jinhua, He Haiqing, et al, Formation and Distribution of Large Low Peameability Lithological Oil Regions in Huaqing, Ordos Basin[J]. Petroleum Exploration and Development, 2012, 39(6):641-648.

[4] 邹才能,杨智,崔景伟,等. 页岩油形成机理、地质特征及发展对策[J]. 石油勘探与开发,2013,40(1):14-26. Zou Caineng, Yang Zhi, Cui Jingwei, et al. Formation Mechanism, Geological Characteristics and Development Strategy of Nonmarine Shale Oil in China[J]. Petroleum Exploration and Development, 2013, 40(1):14-26.

[5] 杨华,李士祥,刘显阳. 鄂尔多斯盆地致密油、页岩油特征及资源潜力[J]. 石油学报,2013,34(1):1-11. Yang Hua, Li Shixiang, Liu Xianyang. Characteristics and Resource Prospects of Tight Oil and Shale Oil in Ordos Basin[J]. Acta Petrolei Sinica, 2013,34(1):1-11.

[6] U S Energy Information Administration. World Shale Gas Resources:An Initial Assessment of 14 Regions Outside the United States[R]. Washington D C:U S Energy Information Administration,2011.

[7] 王飞宇,贺志勇,孟晓辉,等. 综合有机成熟、吸附和PVT模拟预测页岩气量:以Barnett页岩和四川盆地志留系页岩为例[M]//2010中国非常规天然气勘探开发技术进展. 北京:石油工业出版社,2011:167-178. Wang Feiyu, He Zhiyong, Meng Xiaohui, et al. Integrated Organic Maturation, Absorption and PVT Modeling to Predict Original Gas in Place of Shale:Case Studies of Barnett Shale and the Silurian Shale from Sichuan Basin[M]//The Technical Progress in Exploration and Development for Unconventional Hydrocarbons in China. Beijing:Petroleum Industry Press, 2010:167-178.

[8] 王飞宇,贺志勇,孟晓辉,等. 页岩气赋存形式和初始原地气量(OGIP)预测技术[J]. 天然气地球科学,2011,22(3):1-10. Wang Feiyu, He Zhiyong, Meng Xiaohui, et al. Occurrence of Shale Gas and Prediction of Original Gas in-Place (OGIP)[J]. Natural Gas Geoscience, 2011, 22(3):1-10.

[9] Cook T. Calculation of Estimated Ultimate Recovery (EUR) for Wells in Continuous-Type Oil and Gas Accumulations of the Uinta-Piceance Province[M]//USGS Uinta-Piceance Assessment Tean. Petroleum Systems and Geologic Assessment of Oil and Gas in the Uinta-Piceance Province,Utah and Colorado.Denver:[s.n.],2005:1-5.

[10] Pollastro R M, Cook T A, Roberts L N, et al. Assessment of Undiscovered Oil Resources in the Devonian-Mississippian Bakken Formation, Williston Basin Province, Montana and North Dakota, 2008[R].[S. l.]:Geological Survey, 2008.

[11] 王飞宇,王波,金涛,等. 松辽盆地北部中浅层烃源灶定量表征、油气成藏和资源空间分布[R]. 大庆:大庆油田勘探开发研究院,2008. Wang Feiyu, Wang Bo, Jin Tao, et al. Quantitative Characterization of Source Kitchen, and Distributions of Hydrocarbon Accumulations and Resources in the Shallow Section of Songliao Basin[R]. Daqing:Reasearch Institute of Exploration and Development of Daqing Oilfield Company Ltd, 2008.

[12] 王飞宇,严开峰,陈敬轶,等. 典型含气盆地气源灶定量分析及供气特征[R]. 大庆:大庆油田,2010. Wang Feiyu, Yan Kaifeng, Chen Jingyi, et al. Analysis for Quantitative Characterization and Feature of Gas-Prone Source Kitchen in Typical Gas-Bearing Basin[R]. Daqing:Daqing Oilfield, 2010.

[13] Wang Feiyu,Wang Bo,He Zhiyong.Geochemical Ch-aracterization of the Heterogeneous Source Rocks in Petroleum System Modeling[J]. Geochimica et Cosmochimica Acta, 2010,74(12):A1101.

[14] Passey Q R,Creaney S, Kulla J B. A Practical Model for Organic Richness from Porosity and Resistivity Logs[J]. AAPG Bulletin, 1990, 74(12):1777-1794.

[15] Passy Q R,Bohacs K M,Esch W L,et al. From Oil Prone Source Rocks to Gas Producing Shale Reservoir:Geologic and Petrophysical Characterization of Unconventional Shale Gas Resevoirs[C]//CPS/SPE International Oil and Gas Conterence and Exhibition. 2010,SPE 131350.

[16] Stephen A,Sonnenberg,James Vickery,et al. Middle Bakken Facies, Williston Basin,USA:A Key to Prolific Production[Z]. AAPG Search and Discovery Article #50449, 2011.

[17] Cosima Theloy, Stephen A. Sonnenberg. Factors Influencing Productivity in the Bakken Play, Williston Basin[Z].AAPG Search and Discovery Article #10413, 2012.

[18] Pepper A, Corvi P. Simple Kinetic Models of Petroleum Formation:Part III:Modeling an Open System[J]. Marine and Petroleum Geology,1995,12(4):417-452.

[19] Wang F P,Reed R M. Pore Networks and Fluid Flow in Gas Shale[C]//SPE Annual Technical Conterence and Exhibition.[S.l.]:Society of Petroleum Engineers, 2009,SPE 124253.

[20] Hart Energy Research Group. Global Shale Gas Study[Z]. Houston:Hart Energy Publishing, 2011:158.

[21] Cander H. Sweet Spots in Shale Gas and Liquids Plays:Prediction of Fluid Composition and Reservoir Pressure[Z]. Search and Discovery Article #40936, 2012.

[22] 邹才能,陶士振,白斌,等. 论非常规油气与常规油气的区别和联系[J]. 中国石油勘探,2015(1):1-16. Zou Caineng,Tao Shizhen,Bai Bin,et al.Difference and Relations Between Unconventional and Conventional Oil and Gas[J].China Petroleum Exploration,2015(1):1-16.

[1] 李冠, 何文祥, 文志刚, 胡勇, 高小洋, 肖娜. 鄂尔多斯盆地陇东地区长71-2亚段不同源储组合的页岩油富集机理及富集模式[J]. 吉林大学学报(地球科学版), 2026, 56(3): 768-787.
[2] 陈泽熙, 徐志明, 李斌, 钟笠, 彭军, 张昆, 魏祥峰, 郝景宇. 基质型页岩甜点特征及评价方法:以四川盆地涪陵地区中侏罗统凉高山组陆相页岩为例[J]. 吉林大学学报(地球科学版), 2026, 56(3): 788-803.
[3] 任宪军, 石云倩. 松辽盆地南部下白垩统火石岭组钙碱性火山岩地球化学特征及成因[J]. 吉林大学学报(地球科学版), 2026, 56(3): 818-834.
[4] 王常东, 董小宇, 郝晓飞, 姜山, 于兵, 周舰, 王天奇. 广兴—芝瑞盆地上伙房地段流纹斑岩地球化学特征及其地质意义[J]. 吉林大学学报(地球科学版), 2026, 56(3): 835-851.
[5] 刘宇泰, 李碧乐, 陈晓琳, 李浩然, 史雨凡, 孙亚明.  东昆仑沟里地区瓦勒尕南矿区花岗闪长岩地球化学特征、锆石U-Pb年代学及其地质意义[J]. 吉林大学学报(地球科学版), 2026, 56(3): 875-895.
[6] 张海洪, 乔锦燃, 陈国强, 薛晓刚, 邓馨卉, 苗长盛, 李 雪, 郜春生. 张广才岭南部早侏罗世两类I型花岗岩成因:年代学、地球化学和锆石Hf同位素证据[J]. 吉林大学学报(地球科学版), 2026, 56(3): 896-914.
[7] 赵振, 秦光雄, 闫佰忠, 马苗苗. 青海省互助土族自治县地热田水化学特征及成因机制[J]. 吉林大学学报(地球科学版), 2026, 56(3): 986-1001.
[8] 王健, 张媛瑗, 吴楠, 徐清海, 崔子岳, 刘显凤, 付清萌. 鄂尔多斯盆地志靖—安塞地区长7段夹层型页岩油储层特征及分类评价[J]. 吉林大学学报(地球科学版), 2026, 56(2): 453-468.
[9] 何天鑫, 柳蓉, 刘强浩, 宁婷, . 银额盆地下白垩统巴音戈壁组纤维状方解石脉成因机制——热水沉积与同位素证据[J]. 吉林大学学报(地球科学版), 2026, 56(2): 497-510.
[10] 李阳, 周文博, 王长虹, 刘娜, 苟军, 孙文博, 孙家兴, 孙德有. 海拉尔盆地克鲁伦凹陷赋铀地层沉积物源#br#[J]. 吉林大学学报(地球科学版), 2026, 56(2): 522-539.
[11] 徐骏, 高阳, 刘军, 王晓彤, . 大兴安岭北段三矿沟铁铜矿床成因——来自石榴子石U-Pb定年及元素地球化学证据[J]. 吉林大学学报(地球科学版), 2026, 56(2): 540-556.
[12] 陈卓, 周建波, 李功宇, 辛中华, 王红燕, 孙宁辰. 北方造山带东段微陆块构造属性与超大陆重建[J]. 吉林大学学报(地球科学版), 2026, 56(1): 1-16.
[13] 张佳琦, 王志新, 梁琛岳, 郑常青, 刘永江. 吉中地区范家屯组变沉积岩碎屑锆石年代学与Hf同位素示踪——对古亚洲洋东段闭合的约束[J]. 吉林大学学报(地球科学版), 2026, 56(1): 149-172.
[14] 高心如, 梁琛岳, 郑常青, 刘永江, 周建波, 宋志伟, 贾祥鹤, 殷浚哲, 洪雨萱, 谭卓, 张佳琦. 蒙古—鄂霍茨克构造域东段晚中生代演化历史——来自岩浆岩和沉积岩的证据[J]. 吉林大学学报(地球科学版), 2026, 56(1): 36-65.
[15] 柳蓉, 何天鑫, 张浩然, 刘强浩, 张苡铭. 中国典型含油气盆地热液作用及其对沉积环境的影响[J]. 吉林大学学报(地球科学版), 2025, 55(6): 1785-1805.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 刘建峰,迟效国,周燕,王铁夫,金巍,周建波,董春艳,黎广荣. 小兴安岭东北部金林岩体全岩-角闪石Rb-Sr年龄[J]. J4, 2005, 35(06): 690 -0693 .
[2] 黄冠星, 孙继朝, 张英, 刘景涛, 张玉玺, 荆继红. 珠江三角洲污灌区地下水重金属含量及其相互关系[J]. J4, 2011, 41(1): 228 -234 .
[3] 肖长来,梁秀娟,崔建铭,兰盈盈,张君,李书兰,梁瑞奇,郑策. 确定含水层参数的全程曲线拟合法[J]. J4, 2005, 35(06): 751 -0755 .
[4] 郭振华,王璞珺,印长海,黄玉龙. 松辽盆地北部火山岩岩相与测井相关系研究[J]. J4, 2006, 36(02): 207 -0214 .
[5] 孙永河,付晓飞,吕延防,付广,阎冬. 地震泵抽吸作用与油气运聚成藏物理模拟[J]. J4, 2007, 37(1): 98 -0104 .
[6] 谢忠雷,陈卓,孙文田,尹波. 不同茶园茶叶氟含量及土壤氟的形态分布[J]. J4, 2008, 38(2): 293 -0298 .
[7] 贾军涛,王璞珺,邵 锐,程日辉,张 斌,侯景涛,李金龙,边伟华. 松辽盆地东南缘营城组地层序列的划分与区域对比[J]. J4, 2007, 37(6): 1110 -1123 .
[8] 康立明,任战利. 多参数定量研究流动单元的方法--以鄂尔多斯盆地W93井区为例[J]. J4, 2008, 38(5): 749 -0756 .
[9] 薛永超, 程林松. 白豹油田长8油藏成岩储集相[J]. J4, 2011, 41(2): 365 -371 .
[10] 姜纪沂, 张宇东, 谷洪彪, 左兰丽. 基于灰色关联熵的地下水环境演化模式判别模型研究[J]. J4, 2009, 39(6): 1111 -1116 .