Research on Optimization of Shale Gas Fracturing Process Parameters Based on Non Dominated Sorting Genetic Algorithm
In order to improve the efficiency and economy of shale gas extraction,a study on automatic optimization of shale gas fracturing process parameters based on non dominated sorting genetic algorithm is proposed.Design a multi-objective function based on comprehensive considerations of fracturing fluid injection rate,proppant concentration,fracturing section length,and other relevant parameters.On the basis,detailed constraints covering geological conditions,process parameters,and economic benefits are set.By combining the NSGA-Ⅱalgorithm with a unique real number encoding scheme,complex process parameter combinations are accurately characterized and optimized,ultimately a series of Pareto optimal solutions are output to achieve automatic optimization of shale gas fracturing process parameters.The experimental results show that the research method can automatically find the optimal combination of process parameters,significantly improve the efficiency of shale gas extraction,reduce extraction costs,and enhance overall economy.
non dominated sorting genetic algorithmshale gasfracturing technologyparameter optimizationautomatic optimization
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