The use of alternating conditional expectation to predict methane sorption capacity on coal

Conventional approaches to determine methane sorption capacity, including manometric, volumetric and gravimetric methods, require complex procedure of preparation of coal samples and long-term sorption measurement. This article proposed the use of alternating conditional expectation (ACE) algorithm to relate methane sorption capacity (VL) to coal composition, vitrinite reflectance and temperature without conducting sorption tests, which minimizes the work volume and time required in conventional measurement method.