Analytical models for gas production in a shale reservoir: A review focusing on pore network system

IF 0.1 Q4 ENGINEERING, CHEMICAL Journal of the Pakistan Institute of Chemical Engineers Pub Date : 2021-10-26 DOI:10.54693/piche.04926
Muhammad Villayat Abbas, M. Shoaib, Nasir Atallah Houady Alshmlh, Arshad Shehzad Ahmad Shahid, Hyung-mok Kim
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Abstract

Shale gas reservoirs may contain pores with different origins (; natural or induced) and scales. They can be divided into four groups, inorganic porosity, organic porosity, natural micro-fractures porosity and artificially created fractures porosity. The inorganic porosity is the void spaces within matrix of clay, pyrite, silica and other non-organic minerals. The organic porosity is the void space that remains in organic matter after conversion the kerogen to gas and oil. Organic matter in the form of kerogen is finely dispersed within inorganic matrix and contain void spaces (organic porosity). Micro-fractures network contains void spaces (natural micro-fractures porosity) and pore network system is also formed after creation of hydraulically induced fractures (artificially created fractures porosity). Simulating gas production from shale gas is a complex process due to interaction of fluid with various pore scales. In the current research work, shale gas transport through complex porous network is reviewed. Transport mechanism for free and adsorbed gas in dispersed organic nano-pores is combination of both Darcy and non-Darcy phenomena. Slippage of gas molecules occurs in organic pores and desorption of gas molecules occurs as the reservoir pressure depletes. The combined flux from organic pores is transported into inorganic pores then transported into micro-fractures network which can be exploited if hydraulically induced fractures are created in the vicinity of wellbore. It is a huge challenge to model gas production from shales due to presence of multi-scaled porosities. Slippage effects and desorption further add to the complexity in shale gas reservoirs. Analytical models, presented in the current review paper, incorporate complexities in shale gas reservoirs so that production from shale gas can be modeled precisely.
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页岩油气藏采气分析模型——以孔隙网络系统为重点的综述
页岩气藏可能含有不同成因的孔隙(;自然的或诱导的)和鳞片。孔隙度可分为无机孔隙度、有机孔隙度、天然微裂缝孔隙度和人工裂缝孔隙度四大类。无机孔隙是指粘土、黄铁矿、二氧化硅等无机矿物基质内的空隙。有机质孔隙是有机质中干酪根转化为油气后残留的空隙空间。有机质以干酪根的形式精细地分散在无机基质中,并含有空隙(有机孔隙)。微裂缝网络包含空隙空间(天然微裂缝孔隙度),水力诱导裂缝(人工裂缝孔隙度)形成后也会形成孔隙网络系统。页岩气产气模拟是一个复杂的过程,由于流体与不同孔隙尺度的相互作用。在目前的研究工作中,综述了页岩气在复杂孔隙网络中的输运。分散有机纳米孔隙中自由气体和吸附气体的输运机制是达西现象和非达西现象的结合。当储层压力降低时,气体分子在有机孔隙中发生滑动,气体分子发生解吸。来自有机孔隙的复合通量被输送到无机孔隙中,然后输送到微裂缝网络中,如果在井筒附近形成水力诱导裂缝,就可以利用微裂缝网络。由于存在多尺度孔隙,页岩气生产模型是一个巨大的挑战。滑移效应和解吸作用进一步增加了页岩气藏的复杂性。当前综述中提出的分析模型考虑了页岩气储层的复杂性,因此可以精确地模拟页岩气的产量。
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