Dynamic monitoring of coalbed methane reservoirs using Super-Low Frequency electromagnetic prospecting

摘要: Abstract Dynamic monitoring of coalbed methane (CBM) reservoirs plays an important role in reservoir evaluation, production estimation, exploitation and development planning order to efficiently operate producing wells. This paper proposes a passive Super-Low Frequency (SLF) electromagnetic prospecting method, which helps us derive radiation (EMR) anomalies from directly identify dynamically analyze CBM reservoirs. The modeling study shows that the SLF magnetic responses are sensitive high resistivity layers. These turn out be approximately stationary can seen as simply component background field. field clearly distinguished then dynamic anomaly extraction would completed. In suppress cultural noise frequency (HF) random noise, methods empirical mode decomposition (EMD) wavelet transform used data processing. reconstructed curves employed EMR at corresponding depths reservoirs, subsequently help interpret monitor method is validated using observed wells years 2007 2013 Qinshui Basin, China. results present “wave packets” contribute conceivably identification. Compared with audio-magnetotelluric (AMT) inversion results, identification resolution greatly improved. characteristics revealed anomalies, agree histories other surveys.