Numerical Modeling of Shale Gas Reservoir Extraction Considering Stress Field Sensitivity

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jianli Liu;Fangqing Wen;Qiao Deng;Daicheng Peng;Hu Han;Dong Yang
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Abstract

Shale gas extraction relies on horizontal drilling and multistage fracturing that involve intricate flow dynamics. Thus, it is crucial to evaluate the impacts of stress, thermal expansion, and desorption on reservoir matrix deformation, as they cause dynamic porosity and permeability changes. As contemporary simulation techniques struggle to precisely represent these processes, we present a thermo–hydro–mechanical (THM) coupling model that incorporates the dynamic fluctuations in porosity and permeability. The THM model simulates the mechanical deformation, the adsorption, desorption, diffusion, and flow of gas, and the heat transfer among the shale matrix, hydraulic cracks, and wellbore. The finite element method is employed to resolve and corroborate the THM model with production data from the Marcellus shale. In addition, computational models and orthogonal experiments are employed to evaluate the effects of stress field parameters on gas production and wellbore temperature. Results suggest that the stress field strongly affects gas production and wellbore temperature, and disregarding stress field coupling effects overstates gas production by around 12.9%. Porosity and Langmuir volume correlate positively with wellbore temperature, while permeability, Young’s modulus, Langmuir pressure, thermal expansion coefficient, and adsorption strain exhibit negative correlations. Thus, porosity, permeability, and adsorption strain are the principal factors influencing the wellbore temperature profile. These findings contribute to the accurate simulation and optimization of shale gas reservoir exploitation.
考虑应力场敏感性的页岩气藏开采数值模拟
页岩气开采依赖于水平钻井和多级压裂,涉及复杂的流动动力学。因此,评估应力、热膨胀和解吸对储层基质变形的影响至关重要,因为它们会导致孔隙度和渗透率的动态变化。由于当前的模拟技术难以精确地表示这些过程,我们提出了一个包含孔隙度和渗透率动态波动的热-水-机械(THM)耦合模型。THM模型模拟了页岩基质、水力裂缝和井筒之间的机械变形、气体的吸附、解吸、扩散和流动以及传热过程。采用有限元方法解析THM模型,并与Marcellus页岩的生产数据进行了验证。通过计算模型和正交试验,评价了应力场参数对产气量和井筒温度的影响。结果表明,应力场对产气量和井筒温度有强烈的影响,如果不考虑应力场耦合效应,则会将产气量高估12.9%左右。孔隙度和Langmuir体积与井筒温度呈正相关,而渗透率、杨氏模量、Langmuir压力、热膨胀系数和吸附应变呈负相关。因此,孔隙度、渗透率和吸附应变是影响井筒温度剖面的主要因素。这些研究结果有助于页岩气藏开发的精确模拟和优化。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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