西南石油大学学报(自然科学版) ›› 2021, Vol. 43 ›› Issue (5): 56-65.DOI: 10.11885/j.issn.1674-5086.2021.02.27.02

• 非常规油气开发专刊 • 上一篇    下一篇

基于气体扩散模型的页岩气体散失规律研究

田振华1, 周尚文2, 李俊乾3, 蔡建超1,4   

  1. 1. 中国地质大学(武汉)地球物理与空间信息学院, 湖北 武汉 430074;
    2. 中国石油勘探开发研究院, 北京 海淀 100083;
    3. 中国石油大学(华东)地球科学与技术学院, 山东 青岛 266580;
    4. 中国石油大学(北京)油气资源与探测国家重点实验室, 北京 昌平 102249
  • 收稿日期:2021-02-27 发布日期:2021-11-05
  • 通讯作者: 蔡建超,E-mail:caijc@cug.edu.cn
  • 作者简介:田振华,1996年生,男,汉族,山东济南人,博士研究生,主要从事页岩储层微观结构及流体输运机理等方面的研究。E-mail:tianzh@cug.edu.cn
    周尚文,1987年生,男,汉族,湖北荆州人,工程师,主要从事页岩气地质及实验研究工作。E-mail:zhousw10@petrochina.com.cn
    李俊乾,1987年生,男,汉族,河南商丘人,副教授,主要从事非常规油气地质研究工作。E-mail:lijunqian@upc.edu.cn
    蔡建超,1981年生,男,汉族,河南虞城人,教授,博士生导师,主要从事岩石微观输运物理和分形几何理论等方面的研究工作。E-mail:caijc@cug.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(42172159);中国石油天然气集团有限公司中国石油大学(北京)战略合作科技专项(ZLZX2020-02-01)

Study on Gas Loss Characteristics of Shale Based on Gas Diffusion Model

TIAN Zhenhua1, ZHOU Shangwen2, LI Junqian3, CAI Jianchao1,4   

  1. 1. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, Hubei 430074, China;
    2. Research Institute of Petroleum Exploration & Development, PetroChina, Haidian, Beijing 100083, China;
    3. School of Geosciences, China University of Petroleum, Qingdao, Shandong 266580, China;
    4. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Changping, Beijing 102249, China
  • Received:2021-02-27 Published:2021-11-05

摘要: 针对不同页岩损失气量计算方法计算结果差异大的问题,分析了传统单孔扩散模型的特点及不足,建立了耦合更贴近实际的时变气体扩散系数和时变岩芯边界气体浓度的修正单孔扩散模型。研究表明,原始气体浓度、气体扩散系数、岩芯边界气体浓度和岩芯尺寸是影响页岩气体散失的关键参数。当气体扩散系数较大或损失时间过长时,USBM直线法对页岩损失气量的计算不够准确。与分段线性递减相比,岩芯边界气体浓度指数递减模式可能更贴近实际情况。岩芯边界气体浓度递减速率主要控制岩芯内气体扩散完成的总时长,而气体扩散系数变化速率主要影响气体扩散前期的特征。建立的修正单孔扩散模型可较好地从气体扩散角度揭示页岩的气体散失特征,但该模型仍需耦合气体在压差下的流动过程并基于实测数据优化其关键参数,进而提高页岩损失气量的计算精度。

关键词: 页岩, 含气量, 损失气量, 单孔扩散模型, 关键参数

Abstract: The commonly used lost gas calculation models of shale use different assumptions or simplified conditions, and result in the uncertainty of the lost gas content of shale. In this paper, the characteristics and deficiencies of the conventional unipore diffusion model are specified. A modified unipore diffusion model is established considering the time-dependent gas diffusion coefficient and time-dependent gas concentration at core boundary. The analysis indicates that the initial gas concentration, gas diffusion coefficient, gas concentration at core boundary, and core size are the key parameters affecting the shale gas loss process. USBM method may misestimate the lost gas content when the gas diffusion coefficient is too large, or the lost time is too long. Compared with the piecewise linear decline mode, the exponential decline mode of boundary gas concentration may be closer to the actual situation. The decline rate of boundary gas concentration mainly controls the total time of gas diffusion in the core, while the change rate of gas diffusion coefficient mainly affects the characteristics of gas diffusion at the early stage. The modified unipore diffusion model established in this paper can better reveal the gas loss characteristics of shale from the gas diffusion perspective, but the gas flow process under pressure difference should be further integrated into this mathematical method and its key parameters still need to be optimized based on the experimental data, so as to improve the calculation accuracy of lost gas content of shale.

Key words: shale, gas content, lost gas content, unipore diffusion model, key parameter

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