Modeling and Simulation of Production from Commingled Shale Gas Reservoirs

Milad, Benmadi; Civan, Faruk; Devegowda, Deepak; Sigal, Richard F.

doi:10.1190/urtec2013-061

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…Additionally, researchers have studied the calculation model for flow in each layer under varying pressure factors and obtained a series of results during this process [14,15]. Several scholars have utilized the relationship between flow rate at a constant pressure and pressure at a constant flow rate [14,[16][17][18].…”

Section: Introductionmentioning

confidence: 99%

An Analytical Model Coupled with Orthogonal Experimental Design Is Used to Analyze the Main Controlling Factors of Multi-Layer Commingled Gas Reservoirs

Wang,

Xiang,

Tao

et al. 2023

Water

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The majority of China’s multi-layer low permeability tight gas reservoirs are currently being extracted through the method of multi-layer co-production. However, due to the significant disparity in physical properties and varying degrees of pressure depletion among the production layers, elucidating the primary factors influencing the productivity contribution of each gas layer remains challenging. A multi-factor analytical model is proposed for commingled gas wells with multiple layers. An unstable model is established for the production of commingled layers, and the problem of flow distribution is addressed using the Duhamel convolution principle. The Laplace transform is subsequently employed to derive the solution in the Laplace domain, which can be inverted utilizing the Stehfest inversion algorithm to obtain a real-time domain solution. The influence of reservoir factors on the stratification contribution rate has been comprehensively analyzed, encompassing permeability, porosity, initial pressure, drainage radius, and layer thickness. The orthogonal test design was employed to conduct range analysis and variance analysis separately, yielding the primary and secondary order as well as influence weight of the five factors. The findings demonstrate that, within this gas reservoir, the discharge radius, thickness, and porosity are identified as the primary factors influencing gas well productivity. Furthermore, seven horizontal flow charts illustrating the double-layer gas reservoir and five horizontal flow charts depicting single-factor variations in the double-layer gas reservoir were constructed. These charts provide a clear visualization of the impact of each reservoir factor on stratification’s contribution rate. In contrast to previous studies, this novel approach presents a comprehensive optimization framework that ranks the influence weights of individual factors and identifies the most significant factors impacting multi-layer gas reservoirs. The presented method also serves as a foundation for the subsequent selection of multi-layer gas reservoirs, formulation of gas well stimulation measures, and efficient development.

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Section: Introductionmentioning

confidence: 99%

An Analytical Model Coupled with Orthogonal Experimental Design Is Used to Analyze the Main Controlling Factors of Multi-Layer Commingled Gas Reservoirs

Wang,

Xiang,

Tao

et al. 2023

Water

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Generation and Solving Technology of Mathematical Matrix for Multiple Media Based on Unstructured Grids

Ran

2020

Unconventional Tight Reservoir Simulation: Theory, Technology and Practice

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Water Invasion Into Multi-Layer and Multi-Pressure Carbonate Reservoir: A Pore-Scale Simulation

Huang

Zhao

Zhang

et al. 2023

Journal of Energy Resources Technology

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Carbonate reservoirs contribute the highest proportion of natural gas production around the world, and commingled production is frequently used to increase production for the multilayer reservoirs. However, the complex pore structure including pore, fracture and cavity, and the presence of edge/bottom water increase the difficulties in evaluation its commingled production performances. In this work, three comingled patterns of digital rocks are reconstructed based on the CT scanning images, and the lattice Boltzmann method is used to investigate the commingled production with water invasion. The results show that the fracture and cavity commingled production pattern has the largest interlayer heterogeneity, and the production ratio between the two layers can reach 6.7. Commingled production for the system with different interlayer pressure may lead to backflow phenomenon. Especially, if the interlayer heterogeneity is large and the initial pressure of the low-permeability layer is lower, the backflow volume would be very large. The water invasion during commingled production can influence the flow capacity of the other gas layers even there is no pressure interference. In addition, if the water-invaded layer has larger pressure, the produced water will continuously flows backs to the gas layer until the pressure of the two layers becomes balanced. The coupled effects of pressure interference and water invasion significantly damage the commingled-production performance. This work revealed the gas-water two-phase flow behaviors during commingled production, which provide fundamental support for the scientific development of multilayer carbonated reservoir.

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Modeling and Simulation of Production from Commingled Shale Gas Reservoirs

Cited by 5 publications

References 14 publications

An Analytical Model Coupled with Orthogonal Experimental Design Is Used to Analyze the Main Controlling Factors of Multi-Layer Commingled Gas Reservoirs

An Analytical Model Coupled with Orthogonal Experimental Design Is Used to Analyze the Main Controlling Factors of Multi-Layer Commingled Gas Reservoirs

Generation and Solving Technology of Mathematical Matrix for Multiple Media Based on Unstructured Grids

Water Invasion Into Multi-Layer and Multi-Pressure Carbonate Reservoir: A Pore-Scale Simulation

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