Work

Optimum Machine Learning on Gas Extraction and Production for Adaptive Negative Control

Year: 2025

Type: article

Abstract: To overcome the challenges associated with predicting gas extraction performance and mitigating the gradual decline in extraction volume, which adversely impacts gas utilization efficiency in mines, a gas extraction pure volu... | Find, read and cite all the research you need on Tech Science Press

Source: Frontiers in Heat and Mass Transfer

DOI: 10.32604/fhmt.2025.065719

Authors: Cheng Cheng, Xuan-Ping Gong, Xiao-Yu Cheng, Lu Xiao, Xing-Ying Ma

Language: English

Topic: Geoscience and Mining Technology

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Estimated APC paid: $275

Funder: National Key Research and Development Program of China