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Geraldine Haas, MS
Downhole Geophysicist of MicroSeismic, Inc.
PSET® Downhole: Using MicroSeismic (MSI) Surface Monitoring Technology
for Downhole Data Sets

11:30 AM Wednesday, February 17, 2016
at the Cascades
4511 Briarwood Road
Tyler, TX 75709


Geraldine Haas, MS

Geraldine Haas, MS

Geraldine Haas has 8 years of experience in the oil and gas industry. She recently joined MicroSeismic, Inc. in October 2015 as a downhole geophysicist to help in the development and testing of downhole microseismic monitoring. Before joining MicroSeismic, Inc., she spent 5 years at Schlumberger Oilfield Services as a geophysicist, processing real-time and post-acquisition data for the hydraulic fracturing operations in the major plays in the United States. She began her career with Schlumberger Kabushiki Kaisha, Japan where she worked 3 years in microseismic software development as a developer/tester geophysicist.

Haas has her MS in Geophysics and her BS in Earth and Universe Sciences from the University Louis Pasteur/ Ecole et Observatoire des Sciences de la Terre in Strasbourg, France.

PSET® Downhole: Using MicroSeismic (MSI) Surface Monitoring Technology
for Downhole Data Sets"

PSET® Downhole uses MicroSeismic (MSI) surface monitoring technology to locate microseismic activity with downhole measurements.

The recorded seismic traces from each geophone are shifted relative to each other, based on sonic velocities in the study area. Velocity-corrected traces are then stacked, and the resulting trace is scanned for amplitude peaks signifying a fracture event. This scan and search process is repeated for every possible location within a defined imaging volume. Using a stacking approach ensures that even small SNR events can be detected and located. Plus, events are located with a higher accuracy.

PSET® Downhole outputs a list of potential microseismic events with their velocity-corrected files. The geophysicist reviews the events list, looking for the best velocity corrected files, event location, and computed attributes, such as signal-to-noise ratio, semblance, amplitude and uncertainty. Quality controlled results can be analyzed together with completion data to provide an integrated analysis of the stimulation. The geology in certain areas of the Permian Basin can make surface monitoring difficult. With downhole monitoring, distances are smaller and there is less signal attenuation; therefore, more energy is recorded and more events can be detected and located. Also, this method can be used to process any job configuration, including horizontal arrays monitoring horizontal treatment wells.

Benefits of the method:

  • No P-S picking
  • No interpreter picking bias
  • High-confidence results
  • Can trigger on lower SNR
  • Greater monitoring distances
  • Discriminate direct arrivals from other modes
  • Process all continuous data