岩性油气藏 ›› 2017, Vol. 29 ›› Issue (6): 1–7.doi: 10.3969/j.issn.1673-8926.2017.06.001

• 油气地质 •    下一篇

中低成熟阶段页岩有机质孔预测模型探讨

郭秋麟1, 武娜1, 任洪佳1, 陈宁生1, 谌卓恒2   

  1. 1. 中国石油勘探开发研究院, 北京 100083;
    2. 加拿大自然资源部加拿大地质调查局, Alberta 3303
  • 收稿日期:2017-06-29 修回日期:2017-08-17 出版日期:2017-11-21 发布日期:2017-11-21
  • 第一作者:郭秋麟(1963-),男,博士,教授级高级工程师,主要从事油气资源评价、盆地数值模拟等方面的研究工作。地址:(100083)北京市海淀区学院路20号中国石油勘探开发研究院。Email:qlguo@petrochina.com.cn。
  • 基金资助:
    国家重点基础研究发展(973计划)项目"中国陆相致密油(页岩油)形成机理与富集规律"(编号:2014CB239000)和中国石油股份公司科技项目"大中型岩性地层油气藏富集规律与关键技术"(编号:2016B-0301)联合资助

Prediction models of organic pores in shale with low to moderate maturity

GUO Qiulin1, WU Na1, REN Hongjia1, CHEN Ningsheng1, CHEN Zhuoheng2   

  1. 1. PetroChina Research Institution of Petroleum Exploration and Development, Beijing 100083, China;
    2. Natural Resources Canada, Geological Survey of Canada, Alberta, Canada, 3303
  • Received:2017-06-29 Revised:2017-08-17 Online:2017-11-21 Published:2017-11-21

摘要: 为了研究中低成熟阶段页岩有机质孔与页岩油的关系,对页岩有机质孔成因机理进行了分析,建立了页岩有机质孔隙度定量预测的转化率和产烃率2种理论模型,这2种模型都能够较好地预测页岩有机质孔隙度的上限值。根据扫描电镜观察的面孔率,建立了中低成熟阶段页岩有机质孔隙度预测模型,该模型可以计算页岩有机质孔隙度的近似值。统计分析表明:中国湖相页岩有机质面孔率与Ro之间呈指数关系,在中低成熟阶段,面孔率增长较慢;北美海相页岩有机质面孔率与Ro之间呈对数关系,在中低成熟阶段,面孔率增长较快。最后探讨了中低成熟阶段与高成熟-过成熟阶段页岩有机质孔的区别,指出中国中低成熟阶段湖相页岩有机质孔不如北美海相页岩有机质孔发育。

关键词: 低渗油藏, 聚合物/表面活性剂二元驱, 吸附能力, 色谱分离效应, 提高采收率

Abstract: Quantitative prediction of organic pores in shale with low to moderate maturity is significant for shale oil resources assessment. Theoretical models of the conversion rate and hydrocarbon generation rate were established to predict the organic porosity of shale quantitatively based on genetic mechanism of organic pores in shale. Both models can efficiently predict the upper limit for organic porosity of shale. Moreover,the statistic model for prediction of organic porosity of shale with low to moderate maturity was built with surface porosity observed through scanning electron microscope,which can be used to calculate the approximation of the organic porosity. The statistical analysis reveals findings in two aspects. Firstly,for the lacustrine shale in China,the surface porosity has an exponential relationship with Ro,and it increases slowly at the stages of low to moderate maturity. Secondly,for the marine shale in North America,the surface porosity has a logarithmic relationship with Ro,and it increases rapidly at the stages of low to moderate maturity. In addition,differences of organic pores between shale with low to moderate maturity and shale with high to over maturity were discussed. It is indicated that the lacustrine shale with low to moderate maturity in China contains less organic pores than the marine shale in North America,which provides references for study on organic pores in shale and assessment and exploration of shale oil resources.

Key words: low permeability reservoir, polymer/surfactant flooding, adsorption capacity, chromatographic fractionation effect, enhanced oil recovery

中图分类号: 

  • P631.4
[1] 周文, 徐浩, 余谦, 等.四川盆地及其周缘五峰组-龙马溪组与筇竹寺组页岩含气性差异及成因.岩性油气藏, 2016, 28(5):18-25. ZHOU W, XU H, YU Q, et al. Shale gas-bearing property differences and their genesis between Wufeng-Longmaxi Formation and Qiongzhusi Formation in Sichuan Basin and surrounding areas. Lithologic Reservoirs, 2016, 28(5):18-25.
[2] 张小龙, 张同伟, 李艳芳, 等.页岩气勘探和开发进展综述.岩性油气藏, 2013, 25(2):116-122. ZHANG X L, ZHANG T W, LI Y F, et al. Research advance in exploration and development of shale gas. Lithologic Reservoirs, 2013, 25(2):116-122.
[3] JARVIE D M, HILL R J, RUBLE T E, et al. Unconventional shale-gas systems:the Mississippian Barnett Shale of north-central Texas as one model for thermogenic shale-gas assessment.AAPG Bulletin, 2007, 91(4):475-499.
[4] CHALMERS G, BUSTIN R, POWER I M. Characterization of gas shale pore systems by porosimetry, pycnometry, surface area, and field emission scanning electron microscopy/transmission electron microscopy image analyses:examples from the Barnett, Woodford, Haynesville, Marcellus, and Doig units. AAPG Bulletin, 2012, 96(6):1099-1119.
[5] CURTIS M E, CARDOTT B J, SONDERGELD C H, et al. Development of organic porosity in the Woodford Shale with increasing thermal maturity. International Journal of Coal Geology, 2012, 103:26-31.
[6] POMMER M, MILLIKEN K. Pore types and pore-size distributions across thermal maturity, Eagle Ford Formation, southern Texas. AAPG Bulletin, 2015, 99(9):1713-1744.
[7] 崔景伟, 朱如凯, 崔京钢.页岩孔隙演化及其与残留烃量的关系:来自地质过程约束下模拟实验的证据.地质学报, 2013, 87(5):730-736. CUI J W, ZHU R K, CUI J G. Relationship of porous evolution and residual hydrocarbon:evidence from modeling experiment with geological constrains. Acta Geologica Sinica, 2013, 87(5):730-736.
[8] MODICA C J, LAPIERRE S G. Estimation of kerogen porosity in source rocks as a function of thermal transformation:example from the Mowry Shale in the Powder River Basin of Wyoming. AAPG Bulletin, 2012, 96(1):87-108.
[9] 郭秋麟, 陈晓明, 宋焕琪, 等.泥页岩埋藏过程孔隙度演化与预测模型探讨.天然气地球科学, 2013, 24(3):439-449. GUO Q L, CHEN X M, SONG H Q, et al. Evolution and models of shale porosity during burial process. Natural Gas Geoscience, 2013, 24(3):439-449.
[10] 吴松涛, 朱如凯, 崔京钢, 等.鄂尔多斯盆地长7湖相泥页岩孔隙演化特征.石油勘探与开发, 2015, 42(2):167-176. WU S T, ZHU R K, CUI J G, et al. Characteristics of lacustrine shale porosity evolution, Triassic Chang 7 member, Ordos Basin, NW China. Petroleum Exploration and Development, 2015, 42(2):167-176.
[11] CHEN Z, JIANG C. A revised method for organic porosity estimation in shale reservoirs using Rock-Eval data:example from Duvernay Formation in the Western Canada Sedimentary Basin. AAPG Bulletin, 2016, 100(3):405-422.
[12] 王志伟, 卢双舫, 王民, 等.湖相、海相泥页岩孔隙分形特征对比.岩性油气藏, 2016, 28(1):88-93. WANG Z W, LU S F, WANG M, et al. Fractal characteristic of lacustrine shale and marine shale. Lithologic Reservoirs, 2016, 28(1):88-93.
[13] 乌立言.生油岩热解快速定量评价.北京:科学出版社, 1986. WU L Y. Quick evaluation quantitatively on the pyrogenation of source rocks. Beijing:Science Press, 1986.
[14] 郭秋麟, 米石云, 石广仁, 等.盆地模拟方法原理.北京:石油工业出版社, 1998. GUO Q L, MI S Y, SHI G R, et al. Principle method of basin modeling. Beijing:Petroleum Industry Press, 1998.
[15] ORR W L. Comments on pyrolytic hydrocarbon yields in source rock evaluation//Bjøroy M. Advances in petroleum geochemistry. Chichester:Wiley & Sons Ltd., 1981:775-787.
[16] MILLIKEN K L, RUDNICKI M, AWWILLER D N, et al. Organic matter-hosted pore system, Marcellus ormation(Devonian), Pennsylvania. AAPG Bulletin, 2013, 97(2):177-200.
[17] MASTALERZ M, SCHIMMELMANN A, DROBNIAK A, et al. Porosity of devonian and Mississippian New Albany Shale across a maturation gradient:insights from organic petrology, gas adsorption, and mercury intrusion. AAPG Bulletin, 2013, 97(10):1621-1643.
[18] 王飞宇, 关晶, 冯伟平, 等.过成熟海相页岩孔隙度演化特征和游离气量.石油勘探与开发, 2013, 40(6):764-768. WANG F Y, GUAN J, FENG W P, et al. Evolution of overmature marine shale porosity and implication to the free gas volume. Petroleum Exploration and Development, 2013, 40(6):764-768.
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