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New Data-Driven Method for In Situ Coalbed Methane Content Evolution: A BP Neural Network Prediction Model Optimized by Grey Relation Theory and Particle Swarm

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By Jinming Zhang, Xiaowei Hou, Shimin Liu, Luwang Chen
| dx.doi.org
In situ coalbed methane (CBM) content accurate evolution is critical to target area optimization and long-term CBM production. In this study, we first proposed a new data-driven method, an improved BP neural network model optimized by grey relational analysis (GRA) and particle swarm optimization (PSO) algorithm for in situ CBM content prediction.
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