Multi-Scale Geomechanical Modelling of Unconventional Shale Gas: The Implication on Assisting Geophysics–Geology–Engineering Integration

IF 4.3 3区 工程技术 Q2 ENERGY & FUELS
Yue Xiao, Chong Liang, Dawei Zhu, Chunmei Zou, Jun Yan, Yu Bai
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引用次数: 0

Abstract

In the development of unconventional shale play, simulation of the performance for wells needs to incorporate sufficient complexity in geology to take fully into account the variabilities in petrophysical and geomechanical properties. These parameters controlling the effective stimulated rock volume (eSRV) represent the heterogeneity and strong-layering nature of unconventional reservoirs: high inter-bedding anisotropy, flow behaviours and pre-existing geological disconnections (bedding planes, faults, fissuring, natural fractures). This realistic simulation model includes direct information and interpreted understanding from data sources in a wide range of resolutions and scales and is finally coupled with hydraulic fracturing and reservoir depletion modelling in terms of mechanical. The multi-scale geomechanical model incorporates processed seismic interpreted data (10 m scale), petrophysical core data (cm scale), routine scalar logs (m scale) and resistivity borehole image (0.25 cm scale). The vital role the multi-scale geomechanical model plays during the entire workflow is to underpin the disconnection among actual well logs, conventional seismic interpretation and geological complexity by calculating and predicting field scale geomechanical parameters and in situ stresses distribution. Multiple research investigations and case studies on such integration include data acquisition and processing methods, modelling upscaling methodologies and data diagnostical techniques from multidisciplinary perspectives. Although these works show great progress in improved understanding of the spatial and temporal distribution of formation reservoir and geomechanical distribution, uncertainty remains as local stress variations and mechanical-flow properties between layers are impossible to capture.

非常规页岩气的多尺度地质力学建模:对协助地球物理学-地质学-工程学一体化的影响
在开发非常规页岩油藏时,模拟油井的性能需要充分考虑地质的复杂性,以充分考虑岩石物理和地质力学特性的变化。这些控制有效激发岩石体积(eSRV)的参数代表了非常规储层的异质性和强分层性质:层间各向异性高、流动行为和预先存在的地质断裂(基底面、断层、裂缝、天然裂缝)。这种逼真的模拟模型包括直接信息和来自各种分辨率和尺度数据源的解释理解,并最终与水力压裂和储层耗竭力学模型相结合。多尺度地质力学模型包括经过处理的地震解释数据(10 米尺度)、岩石物理岩心数据(厘米尺度)、常规标量测井(米尺度)和电阻率井眼图像(0.25 厘米尺度)。多尺度地质力学模型在整个工作流程中的重要作用是,通过计算和预测现场尺度地质力学参数和现场应力分布,支撑实际测井记录、常规地震解释和地质复杂性之间的脱节。关于这种整合的多项研究调查和案例研究包括数据采集和处理方法、建模升级方法以及多学科角度的数据诊断技术。尽管这些工作在提高对地层储层时空分布和地质力学分布的认识方面取得了巨大进步,但由于无法捕捉层间的局部应力变化和机械流动特性,不确定性依然存在。
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来源期刊
International Journal of Energy Research
International Journal of Energy Research 工程技术-核科学技术
CiteScore
9.80
自引率
8.70%
发文量
1170
审稿时长
3.1 months
期刊介绍: The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability. IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents: -Biofuels and alternatives -Carbon capturing and storage technologies -Clean coal technologies -Energy conversion, conservation and management -Energy storage -Energy systems -Hybrid/combined/integrated energy systems for multi-generation -Hydrogen energy and fuel cells -Hydrogen production technologies -Micro- and nano-energy systems and technologies -Nuclear energy -Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) -Smart energy system
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