A Review on the Numerical Inversion Methods of Relative Permeability Curves

Hou, Jirui; Wang, Dai-gang; Luo, Fuquan; Zhang, Yanhui

doi:10.1016/j.proeng.2011.12.726

Cited by 13 publications

(6 citation statements)

References 20 publications

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“…Relative permeability curves are needed when conducting two-phase flow reservoir simulations. They are commonly obtained by laboratory core flooding experiments, , capillary pressure measurements, numerical inversion, , history matching, , and production data analysis methods …”

Section: Understanding Gas–water Two-phase Flowmentioning

confidence: 99%

“…Relative permeability curves are needed when conducting two-phase flow reservoir simulations. They are commonly obtained by laboratory core flooding experiments, 155,156 capillary pressure measurements, 103 numerical inversion, 157,158 history matching, 159,160 and production data analysis methods. 161 The relative permeability curves are observed mainly through the steady-state method and the transient (unsteady) method.…”

Section: Coal Relative Permeabilitymentioning

confidence: 99%

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Dewatering Optimization of Coal Seam Gas Production Wells: A Review and Future Perspectives

et al. 2022

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Coal seam gas (CSG), as a type of unconventional gas resource, is playing an increasingly important role in energy generation and transition to renewables, as the world takes action to meet the climate change challenge. To produce CSG, the reservoir first needs to be dewatered, but unreasonable dewatering rates can lead to various unfavorable outcomes, such as a reduction in productivity, capillary trapping, borehole instability, excessive coal fines generation, and frequent production well workovers due to particle-induced damage to pumps. Determining the optimum dewatering strategy is currently in a very primitive stage of development, and CSG operators rely on empirical and instinctive approaches to deal with this problem. This paper conducts a comprehensive literature review to (i) explain why dewatering rate optimization remains a great challenge for the CSG industry, (ii) illustrate the complexity and nature of the issue through a conceptual model, and (iii) investigate four key factors that dominate the dewatering optimization design, borehole stability, stress-dependent permeability, gas–water two-phase flow, and generation of coal fines. A detailed summary of current dewatering optimization practices in CSG reservoirs is then presented, focusing on the employed theories, methodology, key learnings, and limitations of each practice. Finally, the remaining knowledge gaps are highlighted, and recommendations for further future work are provided.

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Section: Understanding Gas–water Two-phase Flowmentioning

confidence: 99%

Section: Coal Relative Permeabilitymentioning

confidence: 99%

Dewatering Optimization of Coal Seam Gas Production Wells: A Review and Future Perspectives

et al. 2022

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“…In spite of their favorable convergence, the gradient-based algorithms may be bounded to a local optimum in vicinity of the initial guess (Landa et al, 2005). Moreover, these methods may not be appropriate for large-scale reservoirs, with complex objective functions (Hou et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…The wellknown stochastic algorithms include the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Neighborhood Algorithm (NA). Finding global optimum through stochastic methods, however may require a large number of runs to reach an appropriate convergencea potential drawback for fieldscale purposes (Hou et al, 2012). The application of numerical techniques, such as Ensemble Kalman Filter (EnKF) and Ensemble-based Optimization (EnOpt) have also been introduced to HM, to speed up on its convergence (Aanonsen and Naeval, 2009;Chen et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

On the prediction of pseudo relative permeability curves: meta-heuristics versus Quasi-Monte Carlo

Fazelabdolabadi

Bagherzadeh

Shahrabadi

et al. 2019

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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This article reports the first application of the Quasi-Monte Carlo (QMC) method for estimation of the pseudo relative permeability curves. In this regards, the performance of several meta-heuristics algorithms have also been compared versus QMC, including the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and the Artificial Bee Colony (ABC). The mechanism of minimizing the objective-function has been studied, for each method. The QMC has outperformed its counterparts in terms of accuracy and efficiently sweeping the entire search domain. Nevertheless, its computational time requirement is obtained in excess to the meta-heuristics algorithms.

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“…In the literature, there are a few results available concerning the specific application of genetic algorithms to inverse problems in conservation laws. For instance, Hou et al [21] presents a review on algorithms used for the inverse problem arising in porous media flow, which is well known as the "history matching problem". Ingham and Harris [22] recover the coefficients of a linear one-dimensional model for the flow through porous media.…”

Section: Introductionmentioning

confidence: 99%

Performance of a Real Coded Genetic Algorithm for the Calibration of Scalar Conservation Laws

et al. 2016

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This paper deals with the flux identification problem for scalar conservation laws. The problem is formulated as an optimization problem, where the objective function compares the solution of the direct problem with observed profiles at a fixed time. A finite volume scheme solves the direct problem and a continuous genetic algorithm solves the inverse problem. The numerical method is tested with synthetic experimental data. Simulation parameters are recovered approximately. The tested heuristic optimization technique turns out to be more robust than classical optimization techniques.

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A Review on the Numerical Inversion Methods of Relative Permeability Curves

Cited by 13 publications

References 20 publications

Dewatering Optimization of Coal Seam Gas Production Wells: A Review and Future Perspectives

Dewatering Optimization of Coal Seam Gas Production Wells: A Review and Future Perspectives

On the prediction of pseudo relative permeability curves: meta-heuristics versus Quasi-Monte Carlo

Performance of a Real Coded Genetic Algorithm for the Calibration of Scalar Conservation Laws

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