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Bergery G.,Total S.A. | Grausem M.,Total S.A. | Shuck T.,NanoSeis | Diller D.E.,NanoSeis
SEG Technical Program Expanded Abstracts | Year: 2015

We disclose a method based on S-wave attenuation to infer fluid-filled fractures using microseismic monitoring. Since S-waves do not propagate through fluids, they may offer a way to distinguish between wet (reached by frac fluid and proppant) and dry (caused by local stress and pressure changes only) fractures within the stimulated reservoir. We applied this principle on a hydraulically fractured horizontal wellbore to indirectly map the stimulated fractures. © 2015 SEG.

Shuck T.,NanoSeis | Diller D.E.,NanoSeis | Fish B.,NanoSeis | Smith P.,EnCana Corporation | Wallace K.,EnCana Corporation
Leading Edge | Year: 2015

A surface microseismic survey was conducted in a noisy suburban active oil-field environment. Unconventional patch acquisition survey design and careful processing allowed the extraction of more than 8000 events from the noisy data. Patch acquisition and multichannel noise attenuation were critical components of the success of the project. The computation of microseismic source mechanisms from the surface depended on solving for accurate velocities and statics in the preprocessing stage. © 2015, Society of Exploration Geophysicists. All rights reserved.

Diller D.E.,NanoSeis | Shuck T.,NanoSeis | Fish B.,NanoSeis
Leading Edge | Year: 2015

Some of the advantages of surface microseismic monitoring can be examined to suggest ways in which those advantages can improve the use and interpretation of microseismic results. In particular, surface microseismic monitoring provides an opportunity to determine the source mechanism for most events, and methods are available that can increase the confidence in those results. One method for determining microseismic source mechanism is image-domain pattern recognition (IDPR), which is more suitable to the relatively noisy environment of surface microseismic monitoring than the classic time-domain methods are. One drawback that must be addressed is that accurate image-domain pattern recognition requires the use of 3D velocity corrections. Finally, microseismic events with high-confidence locations and source mechanisms can be used to directly construct discrete fracture networks (DFN). © 2015, Society of Exploration Geophysicists. All rights reserved.

Diller D.E.,Nanoseis | Gardner S.P.,Whiting Oil and Gas
SEG Technical Program Expanded Abstracts | Year: 2011

Microseismic events reported from simultaneous downhole and surface monitoring of a hydraulic fracture well stimulation were matched on an event-by-event basis and compared. Downhole monitoring was much more sensitive than surface monitoring near the observation well, detecting 4-5 times the number of events, but the downhole monitoring appeared to be lose much of it sensitivity advantage at distances greater than about 3,000 feet. The picks reported from surface monitoring varied dramatically depending on the picking criteria that were used, which emphasizes the need for a reliable pick confidence factor. In the strict assessment of the surface data the existence of the majority of the events were corroborated by the downhole data, including many sub-visible surface events. Considerable differences exist in the reported spatial location of the events picked by the two methods despite correct positioning of perforation shots for each method. The events picked by the surface method are clustered much more closely to the wellbore, which may represent a considerably lower estimate of the stimulated rock volume. © 2011 Society of Exploration Geophysicists.

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