Signal enhancement in microseismic data: Application to a field dataset

Farnoush Forghani-Arani, Mark Willis, Seth S. Haines, Jyoti Behura, Mike Batzle

Research output: Contribution to journalConference articlepeer-review


We implement a technique to suppress surface-wave noise in microseismic data based upon the distinct characteristics that microseismic signals and noise display in the τ - p domain. In order to determine an estimated orientation that best accounts for the polarity pattern of any microseismic events with double-couple source mechanisms, we employ a scanning approach similar to semblance analysis, to test all possible double-couple orientations. We then correct the polarity of the data traces according to this pattern, prior to conducting signal-noise separation in the τ - p domain. We apply this noise suppression technique to microseismic data recorded by a star-shaped array, over a Bakken Shale reservoir during a hydraulic fracturing process. Our technique significantly improves the signal-to-noise ratios of the microseismic events. We illustrate that the enhancement in signal-to-noise ratio also results in improved imaging of the microseismic hypocenter.

Original languageEnglish
Pages (from-to)428
Number of pages1
JournalSEG Technical Program Expanded Abstracts
StatePublished - 2013
EventSEG Houston 2013 Annual Meeting, SEG 2013 - Houston, United States
Duration: Sep 22 2011Sep 27 2011


Dive into the research topics of 'Signal enhancement in microseismic data: Application to a field dataset'. Together they form a unique fingerprint.

Cite this