Remote sensing-based exploration of coalbed methane enrichment areas:Advances in research and prospects
Coalbed methane(CBM),a type of self-sourced unconventional clean energy,occurs in coal seams and their surrounding rocks.Conventional exploration methods for CBM enrichment areas are laborious,while remote sensing provides a new approach to the rapid exploration of such areas.The basic principle behind the remote sensing-based exploration of CBM enrichment areas is as follows:① The extraction and comprehensive analysis of multi-source data are conducted based on the comparison between the spectral features of typical surface features and those of surface feature anomalies,including rock and mineral alterations,vegetation anomalies,and thermal anomalies,caused by hydrocarbon micro-seepage in CBM enrichment areas,along with data obtained using geophysical prospecting methods like geological,seismic,and magnetotelluric methods;② The distribution range and gas-bearing properties of CBM enrichment areas are gradually delineated.This paper reviews the hydrocarbon seepage in the CBM enrichment areas and the response mechanisms of spectral anomalies of surface rocks,minerals,and vegetation.It covers the applications of various methods based on the inversion of spectral parameters of surface rocks,minerals,and vegetation,together with the inversion of the spectral anomalies of surface features,in the exploration of potential CBM enrichment areas.Additionally,this paper elucidates the different explanations for surface thermal anomalies caused by CBM-bearing strata,as well as major methods to improve the accuracy of surface temperature inversion and their applications.In the future,the main approach to achieving low-cost,rapid exploration of CBM enrichment areas will be the analysis and information extraction of three-dimensional,multi-source information based on the combination of remote sensing technology with the geological data,seismic exploration,and geomagnetic prospecting of coalfields.
coalbed methane enrichment areahydrocarbon micro-seepageremote sensing-based explorationmulti-source data extraction