An improved fluid flow algorithm for hydraulic fracturing: Optimizing domain volume and crack pressure update strategies

With the widespread adoption of hydraulic fracturing technology in oil and gas resource development, improving the accuracy and efficiency of fracturing simulations has become a critical research focus. This paper proposes an improved fluid flow algorithm, aiming to enhance the computational efficiency of hydraulic fracturing simulations while ensuring computational accuracy. The algorithm optimizes the aperture law and iteration criteria, focusing on improving the domain volume and crack pressure update strategy, thereby enabling precise capture of dynamic borehole pressure variations during injection tests. The effectiveness of the algorithm is verified through three flow-solid coupling cases. The study also analyzes the effects of borehole size, domain volume, and crack pressure update strategy on fracturing behavior. Furthermore, the performance of the improved algorithm in terms of crack propagation rate, micro-crack formation, and fluid pressure distribution was further evaluated. The results indicate that while large-size boreholes delay crack initiation, the cracks propagate more rapidly once formed. Additionally, the optimized domain volume calculation and crack pressure update strategy significantly shorten the pressure propagation stage, promote crack propagation, and improve computational efficiency.

Authors

Institutions

Publication Details

Journal
International Journal of Mining Science and Technology
Published
2025-04-01
DOI
https://doi.org/10.1016/j.ijmst.2025.03.001
Citations
2
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An improved fluid flow algorithm for hydraulic fracturing: Optimizing domain volume and crack pressure update strategies

Chaolin Wang, Bi Jing, Pan Yang, Zhang We et al.
2 citations
International Journal of Mining Science and Technology
Hydraulic Fracturing and Reservoir Analysis
1.43
article

An improved fluid flow algorithm for hydraulic fracturing: Optimizing domain volume and crack pressure update strategies

Chaolin Wang, Bi Jing, Pan Yang, Zhang We, Yu Zhao, Yongfa Zhang
article en
2 citations

Abstract

With the widespread adoption of hydraulic fracturing technology in oil and gas resource development, improving the accuracy and efficiency of fracturing simulations has become a critical research focus. This paper proposes an improved fluid flow algorithm, aiming to enhance the computational efficiency of hydraulic fracturing simulations while ensuring computational accuracy. The algorithm optimizes the aperture law and iteration criteria, focusing on improving the domain volume and crack pressure update strategy, thereby enabling precise capture of dynamic borehole pressure variations during injection tests. The effectiveness of the algorithm is verified through three flow-solid coupling cases. The study also analyzes the effects of borehole size, domain volume, and crack pressure update strategy on fracturing behavior. Furthermore, the performance of the improved algorithm in terms of crack propagation rate, micro-crack formation, and fluid pressure distribution was further evaluated. The results indicate that while large-size boreholes delay crack initiation, the cracks propagate more rapidly once formed. Additionally, the optimized domain volume calculation and crack pressure update strategy significantly shorten the pressure propagation stage, promote crack propagation, and improve computational efficiency.

International Journal of Mining Science and TechnologyVol. 35(4)
Guizhou University (CN)
Openalex Percentile: Top 21%
Hydraulic Fracturing and Reservoir Analysis
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.