Efficient Sparse Quasi-Newton Algorithm for Multi-Physics Coupled Acid Fracturing Model in Carbonate Reservoirs
Source abstract
Abstract
Acid stimulation is a widely used technique for enhancing hydrocarbon recovery from carbonate reservoir formations. In this study, a mathematical model is developed to describe acidizing-induced pressure behavior in carbonate rocks, based on fluid dynamics and acid transport equations. The model is discretized using the finite volume method, resulting in a numerical framework suitable for simulating acidizing processes in carbonate reservoirs. Due to the model’s inherent characteristics—strong nonlinearity and the presence of high-dimensional sparse systems of equations—a sparse quasi-Newton method is proposed to efficiently solve the resulting system. Numerical experiments confirm the practicality and effectiveness of the proposed approach.
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Research context
OpenAlex topics: Hydraulic Fracturing and Reservoir Analysis · Reservoir Engineering and Simulation Methods · NMR spectroscopy and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Information and Mathematics, Yangtze University, Jinzhou 434023, China
Institute of Machine Learning and Simulation Computing, Yangtze University, Jinzhou 434023, China
Funding
National Natural Science Foundation of China
References (24)
Show source-provided references
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