地球物理学进展 ›› 2018, Vol. 33 ›› Issue (5): 2083-2091.doi: 10.6038/pg2018BB0449

• 应用地球物理学Ⅰ(油气及金属矿产地球物理勘探) • 上一篇    下一篇

针对有机质微观特性的页岩储层岩石物理建模及应用

张琦斌1(),郭智奇1,*(),刘财1,刘喜武2,3,4,刘宇巍2,3,4   

  1. 1. 吉林大学地球探测科学与技术学院,长春 130026
    2. 页岩油气富集机理与有效开发国家重点实验室,北京 100083
    3. 中国石化页岩油气勘探开发重点实验室,北京 100083
    4. 中国石化石油勘探开发研究院,北京 100083
  • 收稿日期:2017-11-30 修回日期:2018-07-22 出版日期:2018-10-20 发布日期:2019-01-11
  • 通讯作者: 郭智奇 E-mail:zhangqb16@mails.jlu.edu.cn;guozhiqi@jlu.edu.cn
  • 作者简介:张琦斌,男,1992年生,甘肃平凉人,硕士研究生,主要从事地震岩石物理方面的研究.
  • 基金资助:
    国家十三五重大专项“陆相页岩油甜点地球物理识别与预测方法”课题(2017ZX05049-002);国家自然科学基金重点项目(41430322);国家自然科学基金石油化工联合基金(U1663207)

Rock physics model and its applications in the Longmaxi shale based on the quantification of microstructural properties of organic matter

ZHANG Qi-bin1(),GUO Zhi-qi1,*(),LIU Cai1,LIU Xi-wu2,3,4,LIU Yu-wei2,3,4   

  1. 1. Geo-Exploration Science and Technology Institute, Jilin University, Changchun 130026, China
    2. State Key Laboratory of Shale Oil and Gas Enrichment Mechanism and Effective Development, Beijing 100083, China
    3. Sinopec Key Laboratory of Shale Oil and Gas Exploration and Production Technology, Beijing 100083, China
    4. Sinopec Petroleum Exploration and Production Research Institute, Beijing 100083, China
  • Received:2017-11-30 Revised:2018-07-22 Online:2018-10-20 Published:2019-01-11
  • Contact: Zhi-qi GUO E-mail:zhangqb16@mails.jlu.edu.cn;guozhiqi@jlu.edu.cn

摘要:

富有机质页岩中,与干酪根含量、干酪根中发育的有机质孔隙等有关的有机质微观特征共同决定了页岩的储集性能、生烃能力及热演化程度.因此,为了有效开发页岩储层的测井评价及地震预测技术,有必要进行岩石物理建模,通过弹性参数量化及表征这些物性参数的岩石物理机制.针对龙马溪组富有机质页岩的岩石物理建模,以干酪根含量、有机质孔隙度、干酪根与孔隙组成的有机质混合物的纵横比等参数量化页岩有机质的赋存状态,计算这些特征与页岩弹性性质的定量关系.基于岩石物理模型进行横波速度预测,与基于常规模型的方法比较发现本文的方法具有更高的横波速度预测精度.同时,开发基于岩石物理模型的反演方法,由纵、横波速度等测井数据反演有机质孔隙度、有机质混合物纵横比等参数,为页岩储层评价提供多元化信息.最后,基于模型定量计算并分析页岩中干酪根含量、有机质孔隙度对龙马溪组页岩弹性、力学参数的影响规律.

关键词: 页岩, 岩石物理, 干酪根, 有机质孔隙, 横波速度预测

Abstract:

In organic-rich shales, both kerogen content and kerogen porosity contribute to shale reservoir properties including hydrocarbon accumulation, hydrocarbon generating capacity and thermal evolution degree. Therefore, in order to develop effective technologies for logging evaluation and seismic prediction, it is necessary to quantify rock physical mechanism related to such properties using elastic parameters in shale rock physics model. A rock physics model is constructed for organic-rich shales from the Longmaxi Formation, where kerogen content, kerogen porosity and the geometry of the mixture of kerogen and fluids-saturated pores are used to quantify organic matters in the calculation of elastic properties of shales. We predict shear wave velocity based on the built rock physics, and compare the predicted results with those obtained by conventional model. The comparison indicates that the method proposed in this paper shows higher accuracy in shear wave velocity. Meanwhile a rock-physics based inversion scheme is proposed for the calculation of kerogen porosity and the aspect ratio of organic mixtures using P- and S-wave velocities. The obtained results can provide diversified information for shale reservoir characterization. Finally, the influence of the kerogen content and kerogen porosity on shale elastic and mechanical parameters of the Longmaxi shale is calculated and analyzed quantitatively based on the proposed rock physics model.

Key words: shale, rock physics, kerogen, kerogen porosity, shear wave velocity prediction

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