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Horizontal well fracture parameter optimization design based on multiple optimization algorithms
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AI
DOI：10.1080/12269328.2025.2584223.png)
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Abstract
En 中文
The economic viability of extracting tight gas reservoirs has been enabled by the combination of horizontal drilling and multi-stage hydraulic fracturing. The traditional optimization design of fracture parameters relies solely on engineers' empirical judgment, resulting in poor accuracy. To enhance the accuracy of optimization, it is imperative to determine the optimal values of these parameters and evaluate their impacts on well performance as well as economic feasibility. Therefore, this study establishes a horizontal well fracturing model and introduces a multi-objective optimization strategy to explore the influence of fracture number, fracture half-length, fracture spacing and fracture conductivity on gas reservoir productivity. Four optimization algorithms are employed to determine the optimal fracture parameters, addressing the limited consideration of economic factors in previous optimization studies. The results show that the length of the horizontal section is 1000.9 meters, the half-length of the fracture is 124.2 meters, the number of fractures is 10, the fracture conductivity is 8.2 mu m2 cm and the fracture spacing is 82.4 meters. The necessity of parameter design using multiple optimization algorithms is elaborated, offering a theoretical basis and technical reference for the efficient development of unconventional gas reservoirs.
Keywords:
Tight gas reservoir
fracture parameters
intelligence algorithms
optimization design
Journal
G
IF:
1.1
Papers:
75
Citations:
580