A high-order, high-efficiency adaptive time filter algorithm for shale reservoir model based on coupled fluid flow with porous media flow

In this paper, a third-order time adaptive algorithm with less computation, low complexity is provided for shale reservoir model based on coupled fluid flow with porous media flow. This algorithm combines a method of three-step linear time filters for simple post-processing and a second-order backward differential formula (BDF2), is third-order accurate in time, and provides no extra computational complexity. At the same time, the time filter method can also be used to damp non-physical oscillations inherent in the BDF2 method, ensuring stability. We prove the algorithm’s stability of the constant stepsize second-order backward differential formula plus time filter (BDF2-TF) and the third-order convergence properties of the fluid velocity u and hydraulic head ϕ in the L 2 norm. In numerical experiments, this adaptive algorithm automatically adjusts a time step in response to the varying characteristics of different models, ensuring that errors are maintained within acceptable limits. The algorithm addresses the issue that high-order algorithms may select inappropriate time steps, resulting in instability or reduced accuracy of a numerical solution, and thereby it enhances calculation accuracy and efficiency. We perform three-dimensional numerical tests to examine the BDF2-TF algorithm’s effectiveness, stability, and third-order convergence. Simultaneously, a simplified model is employed to simulate the process of shale oil extraction from reservoirs, further demonstrating the algorithm’s practical applicability. • In this paper, we propose a third-order adaptive second-order backward differential formula plus time filter algorithm for shale reservoir model based on coupled fluid flow with porous media flow. • Time adaptive algorithms automatically adjust step size based on the dynamic characteristics of solutions, thereby enhancing calculation accuracy and efficiency. • In theory, stability of the constant stepsize second-order backward differential formula plus time filter (BDF2-TF) and the third-order convergence properties of the fluid velocity u and hydraulic head ϕ in the L 2 norm has been proved. • In the numerical experiments, we use 3D examples to study the effectiveness, stability and convergence order of the third-order BDF2-TF algorithm. Additionally, a simplified model is employed to simulate the process of extracting shale oil from reservoirs.

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Publication Details

Journal
Communications in Nonlinear Science and Numerical Simulation
Published
2025-03-19
DOI
https://doi.org/10.1016/j.cnsns.2025.108771
Citations
6
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
11.20
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article

A high-order, high-efficiency adaptive time filter algorithm for shale reservoir model based on coupled fluid flow with porous media flow

Yi Qin, Zhangxin Chen, Jian Li, Lele Chen
6 citations
Communications in Nonlinear Science and Numerical Simulation
Seismic Imaging and Inversion Techniques
11.20
article

A high-order, high-efficiency adaptive time filter algorithm for shale reservoir model based on coupled fluid flow with porous media flow

Yi Qin, Zhangxin Chen, Jian Li, Lele Chen
article en
6 citations

Abstract

In this paper, a third-order time adaptive algorithm with less computation, low complexity is provided for shale reservoir model based on coupled fluid flow with porous media flow. This algorithm combines a method of three-step linear time filters for simple post-processing and a second-order backward differential formula (BDF2), is third-order accurate in time, and provides no extra computational complexity. At the same time, the time filter method can also be used to damp non-physical oscillations inherent in the BDF2 method, ensuring stability. We prove the algorithm’s stability of the constant stepsize second-order backward differential formula plus time filter (BDF2-TF) and the third-order convergence properties of the fluid velocity u and hydraulic head ϕ in the L 2 norm. In numerical experiments, this adaptive algorithm automatically adjusts a time step in response to the varying characteristics of different models, ensuring that errors are maintained within acceptable limits. The algorithm addresses the issue that high-order algorithms may select inappropriate time steps, resulting in instability or reduced accuracy of a numerical solution, and thereby it enhances calculation accuracy and efficiency. We perform three-dimensional numerical tests to examine the BDF2-TF algorithm’s effectiveness, stability, and third-order convergence. Simultaneously, a simplified model is employed to simulate the process of shale oil extraction from reservoirs, further demonstrating the algorithm’s practical applicability. • In this paper, we propose a third-order adaptive second-order backward differential formula plus time filter algorithm for shale reservoir model based on coupled fluid flow with porous media flow. • Time adaptive algorithms automatically adjust step size based on the dynamic characteristics of solutions, thereby enhancing calculation accuracy and efficiency. • In theory, stability of the constant stepsize second-order backward differential formula plus time filter (BDF2-TF) and the third-order convergence properties of the fluid velocity u and hydraulic head ϕ in the L 2 norm has been proved. • In the numerical experiments, we use 3D examples to study the effectiveness, stability and convergence order of the third-order BDF2-TF algorithm. Additionally, a simplified model is employed to simulate the process of extracting shale oil from reservoirs.

Communications in Nonlinear Science and Numerical SimulationVol. 146
Eastern Institute of Technology, Ningbo, Shaanxi University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 1%
Seismic Imaging and Inversion Techniques
11.20
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