Fuzzy Comprehensive Evaluation Method for Evaluating Stability of Loess Slopes by Xiaopeng Deng, Xinghua Xiang

“…The importance of influencing factors was studied through numerical simulation method, sensitivity analysis method, and gray correlation analysis method, and the weight value method was given. …”
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Prediction of Blast Vibration Velocity of Buried Steel Pipe Based on PSO-LSSVM Model by Hongyu Zhang, Shengwu Tu, Senlin Nie, Weihua Ming

“…Relying on the test results of the buried steel pipe blast model test, a sensitivity analysis of relevant influencing factors was carried out by using the gray correlation analysis method. A least squares support vector machine (LS-SVM) model was established to predict the peak vibration velocity of the pipeline and determine the best parameter combination in the LS-SVM model through a local particle swarm optimization (PSO), and the results of the PSO-LSSVM model were predicted. …”
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The spatio-temporal characteristics and influencing factors of sustainable development in China’s provincial areas by Zhang Qinnan, Tao Chunhai, Xin Yun

“…It then uses the gray correlation analysis method to measure and analyze the sustainable economic development of China’s regions from 2006 to 2017. …”
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Analysis of the main controlling factors of intra-well frac hit between deep coalbed methane in Daning-Jixian block and research on countermeasures to prevent and control it by Ming CHEN, Junyi SUN, Liwei WANG, Lizhu YU, Haonian TIAN, Dameng WANG, Xianfeng GU, Zesong YIN, Huan ZHANG

“…Then, based on the objective geological conditions of Daning-Jixian block and the understanding of development and production practice, using the multi-factor gray correlation analysis method, we evaluated four categories and nine sub-factors of influencing factors, such as development and deployment (distance between wells, location of horizontal section, vertical depth), geology (strength of natural fracture), engineering (average scale of single-cluster fluid, number of perforation clusters, scale of single-section fluid, and construction displacement), and drainage and extraction (production time of the parent well), the distance between wells, production time of the parent well, average single-cluster fluid size, and natural fracture were identified as the main control factors for the pressure frac hit of deep-seated coalbed methane horizontal wells in Daning-Jixian block, and corresponding preventive countermeasures were developed based on these factors. …”
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