Reservoir parameters are crucial indicators for reservoir evaluation and development and
provide insights into long-term reservoir behavior. The primary methods for evaluating these …

Multiobjective hyperparameter optimization is applied to find optimal artificial neural network
(ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous …

Carbon materials possess active sites and functionalities on the surface that can attract
prominent interest as solid adsorbents for diverse gas adsorption. This study aimed to …

Accurate parameter prediction in the coalbed methane (CBM) pre-extraction process is
crucial for formulating effective control measures and preventing CBM-related accidents …

Coal coking is an efficient and environmentally friendly technology for energy utilization that
yields various industrial materials. However, the intricate nature of the coal coking reaction …

Coal ash content estimation using hyperspectral image (HSI) is a promising yet challenging
task due to the high dimensionality and intricate data structure of HSI. Existing methods …

The gas content and permeability of coal reservoirs are the main factors affecting the
productivity of coalbed methane. To explore the law of gas content and permeability of coal …

Deep coalbed methane (CBM) resources are abundant in China, and in the last few years,
the country's search for and extraction of CBM have intensified, progressively moving from …

In order to accurately obtain the gas content of in-situ coal seams in coal mines, a sealed
coring technology for in-situ coal seams in coal mines has been proposed. By utilizing the …

This study proposes a recovery method for large-scale isolated stopes supported by pre-
stressed expandable props in deep resource mining. Using a large isolated stope of the …