Quantitative risk assessment of gas transmission pipelines in mining areas based on risk matrix and cloud model

Abstract Risk evolution of gas transmission pipelines in mining areas is characterized by both randomness and fuzziness. Conventional methods fail to realize unified two-dimensional quantification of failure probability and failure consequences, and show poor compatibility with industrial standards. To address these issues, this paper proposes a novel quantitative risk assessment method for gas transmission pipelines in mining areas. Firstly, a comprehensive risk evaluation system is established covering four major categories: natural factors, mining activities, pipeline design, and operation and management. Secondly, the G1-CV-RE (relative entropy) combined weighting method is adopted. With the minimization of relative entropy as the objective, this method achieves balanced integration of expert experience and data dispersion characteristics, so as to optimize the allocation of indicator weights. Finally, the two-dimensional cloud model is applied to convert the risk matrix from qualitative judgment to quantitative expression, which simultaneously characterizes the dual uncertainties of failure probability and failure consequences. A supporting MATLAB GUI evaluation software is developed to implement full-process standardized assessment. The proposed method can provide reliable technical support for hierarchical management and hazard remediation of gas transmission pipelines in mining areas.