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页岩气扩散实验与数学模型
引用本文:陈璐,胡志明,熊伟,端祥刚,常进.页岩气扩散实验与数学模型[J].天然气地球科学,2020,31(9):1285-1293.
作者姓名:陈璐  胡志明  熊伟  端祥刚  常进
作者单位:1.中国科学院大学, 北京 100049;2.中国科学院渗流流体力学研究所,河北 廊坊 065007;3.中国石油勘探开发研究院,河北 廊坊 065007
基金项目:国家科技重大专项项目课题“页岩气渗流规律与气藏工程方法”(2017ZX05037-001)
摘    要:在地层条件下,页岩气流动状态受多尺度效应影响,包含黏性流、扩散流以及滑脱流等,气体的产出是多种机制协同作用的结果,前人提出的扩散模型已不能准确地描述页岩气在基质中的扩散行为。为了定量表征页岩气扩散能力的影响因素,揭示气井在全生命周期开发过程中的流动规律以及对产能的影响,利用自主研发的高温高压近平衡态实验系统,开展了页岩气在0~1 MPa微压差条件下的流动实验,并提出一种综合考虑渗透率、温度与压力的扩散系数计算方法,成功地运用于川南地区五峰组-龙马溪组页岩中,指出该地区优质储层扩散产量成为主控因素时临界开发压力为4.5 MPa,对于页岩气井产能评价以及扩散能力的表征有重要的意义。通过实验结果与理论分析表明,扩散在高温、低渗、低压力条件下会有更高的分配系数,考虑了基质渗流能力的扩散系数模型能更好地运用在实际流动中,忽略扩散的影响将对产能计算带来较大误差。

关 键 词:页岩气  扩散流动  流动实验  影响因素  广义扩散模型  
收稿时间:2020-02-01

Diffusion experiment of shale gas and mathematical model
Lu CHEN,Zhi-Ming HU,Wei XIONG,Xiang-Gang DUAN,Jin CHANG.Diffusion experiment of shale gas and mathematical model[J].Natural Gas Geoscience,2020,31(9):1285-1293.
Authors:Lu CHEN  Zhi-Ming HU  Wei XIONG  Xiang-Gang DUAN  Jin CHANG
Affiliation:1.University of Chinese Academy of Sciences, Beijing 100049, China;2.Department of Porous Flow & Fluid Mechanics, Chinese Academy of Sciences, Langfang 065007, China;3.PetroChina Research Institute of Petroleum Exploration & Development (Langfang), Langfang 065007, China
Abstract:Under formation condition, the flow state of shale gas is affected by multi-scale effects, including viscous flow, diffusion flow and slippage flow, etc., gas production is the result of synergy of various mechanisms, and previous diffusion models can no longer accurately describe the diffusion behavior of shale gas in the shales. In order to clarify the influencing factors of shale gas diffusion ability, reveal the flow law of gas wells in the whole life cycle development process as well as the impact on production capacity, experiments on shale gas under the conditions of 0-1 MPa micro-pressure difference is carried out by using the self-developed experimental system with high temperature and high pressure resistance, and put forward a diffusion coefficient calculation method comprehensively considering permeability, temperature and pressure. It was successfully applied to the Wufeng-Longmaxi formations shale in the south of Sichuan, indicating that the critical pressure of the high-quality reservoir in this area is 4.5 MPa when diffusion flow occupy the main position. It is of great significance for the shale gas well productivity evaluation and the quantitative characterization of the diffusion capacity. The experimental results and theoretical analysis show that the diffusion will have a higher partition coefficient under high temperature, low permeability and low pressure level, the diffusion coefficient model considering the permeability of shales can be better applied in actual flow, and there will be a large error in productivity calculation if ignoring the effects of diffusion.
Keywords:Shale gas  Diffusion flow  Flow experiment  Influence factor  Generalized diffusion modelFoundation item:The National Science and Technology Major Project of the Ministry of Science and Technology of China (Grant No  2017ZX05037-001)    
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