Journal article

Application of neural networks and fuzzy systems for the intelligent prediction of CO2-induced strength alteration of coal

KHSM Sampath, MSA Perera, PG Ranjith, SK Matthai, X Tao, B Wu

Measurement | ELSEVIER SCI LTD | Published : 2019


CO2 sequestration and enhanced coal bed methane (ECBM) extraction necessitate CO2 injection into coal reservoirs that affect the coal strength properties and long-term integrity of the seam. Evaluation of CO2-induced coal strength alterations is essential to minimize the reservoir damage. Advanced soft computing models have become prevalent in rock mechanics field, as they are capable of learning trends from complex data sets, preserving the experience and using it for predictions. We present two models viz. artificial neural network (ANN) and adoptive neuro-fuzzy inference system (ANFIS) to predict the strength alterations of coal, under various CO2 saturation conditions. Model performances..

View full abstract