Parameters and System for Fuzzy Pattern Recognition in CBM Target Selection
摘要
This chapter focuses on the core parameters and evaluation system construction for coalbed methane (CBM) target area optimization. From the perspective of geology-engineering integration, the key parameters affecting CBM development are divided into four categories: coal reservoir physical properties, coal seam occurrence conditions, regional geological conditions, and coal petrology and quality. Specifically, coal reservoir physical properties include core indicators such as gas content and permeability; coal seam occurrence conditions cover critical parameters like burial depth and seam thickness; regional geological conditions involve tectonic settings and hydrogeological conditions; and coal petrology and quality focus on indexes such as ash content and vitrinite content. Based on the parameter analysis, a comprehensive evaluation system integrating geological conditions and exploration and exploitation conditions is established. Furthermore, differentiated evaluation criteria are formulated for medium–high rank coal seams and low rank coal seams respectively. The results of target area optimization are classified into four grades (Class I–IV), corresponding to excellent, moderate, low, and non-exploitable potential respectively. This work provides scientific and systematic parameter support and classification basis for the subsequent establishment of the fuzzy pattern recognition model.