TY - JOUR
T1 - Locating microseismic events with multi-scale time reversed imaging
T2 - SEG New Orleans Annual Meeting, SEG 2015
AU - Li, Meng
AU - Tao, Guo
AU - Wang, Bing
AU - Ali, M.
N1 - Publisher Copyright:
© 2015 SEG.
PY - 2015
Y1 - 2015
N2 - Locating microseismic events in a reservoir monitoring system has attracted considerable interest recently due to its ability to image the induced fracture geometry that result from fluid injection and fracturing processes. Time reversed imaging (TRI) techniques are well recognized localization tools developed in the last few years. This technique back-propagates the received full waveforms to focus at its real source location without picking different arrival phases. However, the time reversed images are often contaminated due to the strong noise and other interference in surface microseismic measurements, leading to unreliable location estimation. To minimize the interference of strong noise, we present a multi-scale TRI technique using the shift-invariant dual-tree complex wavelet transform (DTCWT) to decompose the original waveforms into multiple time-frequency domains (different levels). The TRI are then applied to the waveform component at each level. Images of effective components substantially improved the quality of the final image of subsurface microseismic events with a much sharper focus. On the other hand, the images of noise components may reveal the velocity structure which is helpful in event location. In addition, the noise components recognized by the multi-scale TRI can be applied to estimate the background noise level.
AB - Locating microseismic events in a reservoir monitoring system has attracted considerable interest recently due to its ability to image the induced fracture geometry that result from fluid injection and fracturing processes. Time reversed imaging (TRI) techniques are well recognized localization tools developed in the last few years. This technique back-propagates the received full waveforms to focus at its real source location without picking different arrival phases. However, the time reversed images are often contaminated due to the strong noise and other interference in surface microseismic measurements, leading to unreliable location estimation. To minimize the interference of strong noise, we present a multi-scale TRI technique using the shift-invariant dual-tree complex wavelet transform (DTCWT) to decompose the original waveforms into multiple time-frequency domains (different levels). The TRI are then applied to the waveform component at each level. Images of effective components substantially improved the quality of the final image of subsurface microseismic events with a much sharper focus. On the other hand, the images of noise components may reveal the velocity structure which is helpful in event location. In addition, the noise components recognized by the multi-scale TRI can be applied to estimate the background noise level.
UR - http://www.scopus.com/inward/record.url?scp=85003245055&partnerID=8YFLogxK
U2 - 10.1190/segam2015-5860203.1
DO - 10.1190/segam2015-5860203.1
M3 - Conference article
AN - SCOPUS:85003245055
SN - 1052-3812
VL - 34
SP - 2496
EP - 2500
JO - SEG Technical Program Expanded Abstracts
JF - SEG Technical Program Expanded Abstracts
Y2 - 18 October 2011 through 23 October 2011
ER -