Real-time monitoring of fracturing is an important supporting measure for hydraulic fracturing effect evaluation and en-gineering parameter optimization.In traditional electromagnetic monitoring,the accuracy and precision of fracturing parameter i-dentification can hardly be ensured,which greatly affects the monitoring results.In this paper,a method of fracturing parameter i-dentification in electromagnetic monitoring based on marine predator-density clustering hybrid optimization algorithm was presen-ted to improve the ability of fracturing parameter identification.Specifically,the marine predator algorithm(MPA)is employed for multiple optimizations,and the outcomes of each optimization are extracted as the initial dataset.Then,the density-based spatial clustering of applications with noise(DBSCAN)is used for clustering,and the intermediate sample dataset is constructed.Finally,the median value of the sample data is extracted as the final output result.The optimization ability of the hybrid optimization algo-rithm is analyzed through the Rastrigin function test.The test results show that compared with the particle swarm optimization(PSO)algorithm,MPA has a better single optimization effect,but the optimization results of both algorithms have strong random-ness,with the 50-optimization accuracy of 10-7～102 and 10-10～10-2,respectively.In contrast,the hybrid optimization algorithm exhibits more stable result,with the optimization accuracy up to 10-7.The fracture model of fracture length and azimuth is built and numerical simulation experiment is carried out.The results show that the average absolute error of fracture length and azimuth identification is less than 1 m and 1° respectively under the influence of less than 15％noise.Taking the measured data of electro-magnetic monitoring of shale gas fracturing in a well in the Sichuan Basin as an example,the length and azimuth of hydraulic frac-ture are determined.The research results have certain guiding significance for electromagnetic monitoring of hydraulic fracturing.
hydraulic fracturingelectromagnetic methodmarine predator algorithm(MPA)density-based spatial clustering of ap-plications with noise(DBSCAN)real-time monitoringfracturing parameter identification
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