Prediction and Risk Control of Interwell Fracturing Interference in Deep Coalbed Methane Reservoirs
Year: 2026
Type: article
Abstract: Interwell fracturing interference increasingly affects production as deep coalbed methane development advances towards dense well patterns and large-scale stimulation. Predicting offset-well responses requires relation-specific geological information and surrounding well-network context. Using data from 131 horizontal wells in the Daning–Jixian Block, this study develops an integrated prediction and treatment-design framework. Three-dimensional sampling corridors describe geological and stress conditions between treatment stages and offset wells. Random forest recursive feature elimination selects key predictors. An edge-enhanced graph attention network combines these descriptors, treatment parameters and offset-well states in time-truncated bipartite graphs. Calibrated probabilities guide a genetic algorithm that retains treatment input while satisfying risk and engineering constraints. The model predicts frac-hit risk with high accuracy, and risk-constrained parameter optimisation reduces predicted interference risk. Subsequent stage-level field comparisons show fewer recorded frac hits and weaker offset-well pressure responses following parameter adjustment, with small differences in early whole-well production. The framework supports stage-specific risk management and coordinated stimulation design in densely developed coalbed methane reservoirs.
Source: Processes
DOI: 10.3390/pr14213611
Institution: Southwest Petroleum University
Language: English
Subfield: Fuel Technology
Field: Energy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W7225639677