Open Access
ARTICLE
Yang Yang1,2,*, Pengfei Zheng3,4, Fanru Zeng5, Peng Xin6, Guoxi He1, Kexi Liao1
1
State Key Laboratory of Oil Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, 610500, China
2
School of Earth Sciences and Technology, Southwest Petroleum University, Chengdu, 610500, China
3
Spatial Information Technology and Big Data Mining Research Center, School of Earth Sciences and Technology, Southwest
Petroleum University, Chengdu, 610500, China
4
Sichuan Xinyang Anchuang Technology Co., Ltd., Chengdu, 610500, China
5
Sichuan Water Conservancy College, Chengdu, 610500, China
6
CCDC Safety, Environment, Quality Supervision & Testing Research Institute, Guanghan, 618300, China
* Corresponding Author: Yang Yang. Email:
(This article belongs to this Special Issue: Hybrid Intelligent Methods for Forecasting in Resources and Energy Field)
Computer Modeling in Engineering & Sciences 2023, 134(1), 267-291. https://doi.org/10.32604/cmes.2022.020220
Received 11 November 2021; Accepted 24 February 2022; Issue published 24 August 2022
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