Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring

• DOI: 10.1038/s41598-017-09711-2
• Publication Date: 2017-09-14T14:22:31Z
• Authors: Weilin Huang; Runqiu Wang; Huijian Li; Yangkang Chen
• Keywords: Microseism; Orthogonalization; Geophone

Abstract Microseismic method is an essential technique for monitoring the dynamic status of hydraulic fracturing during development unconventional reservoirs. However, one challenges in microseismic that those seismic signals generated from micro seismicity have extremely low amplitude. We develop a methodology to unveil are smeared strong ambient noise and thus facilitate more accurate arrival-time picking will ultimately improve localization accuracy. In proposed technique, we decompose recorded data into several morphological multi-scale components. order weak signal, propose orthogonalization operator which acts as time-varying weighting reconstruction. The obtained using inversion process. This orthogonalized reconstruction can be interpreted projection higher-dimensional vector. first test synthetic dataset. Then applied field dataset project China, induced by twelve three-component (3-C) geophones well. result demonstrates make detectable.