Abstract
A passive microseismic monitoring study of CO2 enhanced oil recovery operations at the Bell Creek Field was conducted. Two distinctive low signal-to-noise ratio environments were observed: a diurnal, dominated by high-amplitude coherent noise in the same frequency band as the signal, and a nocturnal, characterized by weak signals buried in random noise. Using estimations from a synthetic microseismic model as a reference and applying conventional, relatively simple event detection, picking and location estimation algorithms to nocturnal seismograms, we were able to identify microseismicity. We propose and demonstrate a low-cost tool correction method to simplify logistic field and data processing operations.
Published Version
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