Grant: Idea to Innovation
University of Alberta
$120,000.00
Custom-built real-time imaging solutions (I2I - phase 1)
EF 2019-20
Résumé
Hydraulic fracturing and horizontal drilling have dramatically changed the energy landscape in North America;shale plays that were previously deemed uneconomic are now developed extensively. Hydraulic fracturingcreates new fractures or pops open existing ones, improving fluid flow and thus reservoir drainage. Local rockfailure or slip yields an acoustic emission, which is also known as a microseismic event. Microseismicmonitoring during hydraulic fracturing is a common surveillance technology to record real-time information onin situ rock deformation and failure in order to ensure safe and effective hydraulic fracturing operations.Event localization plays an important role in microseismic monitoring. Reverse-time extrapolation is apowerful full-waveform imaging technique that takes recorded wavefields, reverses the time axis and thenback-propagates the observed data to the original source locations. The procedure is analogous to playing amovie back in time to see how it all started. The technique has proven very robust for imaging subsurfacegeology using reflection seismic data but it is only rarely applied to microseismic data because itscomputational demands render real-time imaging highly challenging.Model-order reduction can accelerate online computations by orders of magnitude, leading to faster imagingsolutions, strongly reduced needs for significant computation power in the field, as well as automated results,thus reducing manual labor. The new technology thus promises cost savings on both labor and hardwarerequirements in the field. This project will evaluate the commercial viability of the technology for real-timemicroseismic monitoring. A Canadian patent application on the use of reduced-order systems for microseismicevent localization has already been filed.
Programme
Idea to Innovation
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
538562-2019
Name nom
VanDerBaan, Mirko
Department département
Physics
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
120000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1203
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Earth sciences
Area of application fr
Sciences de la terre
Research subject code
4304
Research subject group en
Geophysics
Research subject group fr
Géophysique
Research subject en
Applied geophysics
Research subject fr
Géophysique appliquée
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Custom-built real-time imaging solutions (I2I - phase 1)
Keyword
NSERC
Application summary
Hydraulic fracturing and horizontal drilling have dramatically changed the energy landscape in North America;shale plays that were previously deemed uneconomic are now developed extensively. Hydraulic fracturingcreates new fractures or pops open existing ones, improving fluid flow and thus reservoir drainage. Local rockfailure or slip yields an acoustic emission, which is also known as a microseismic event. Microseismicmonitoring during hydraulic fracturing is a common surveillance technology to record real-time information onin situ rock deformation and failure in order to ensure safe and effective hydraulic fracturing operations.Event localization plays an important role in microseismic monitoring. Reverse-time extrapolation is apowerful full-waveform imaging technique that takes recorded wavefields, reverses the time axis and thenback-propagates the observed data to the original source locations. The procedure is analogous to playing amovie back in time to see how it all started. The technique has proven very robust for imaging subsurfacegeology using reflection seismic data but it is only rarely applied to microseismic data because itscomputational demands render real-time imaging highly challenging.Model-order reduction can accelerate online computations by orders of magnitude, leading to faster imagingsolutions, strongly reduced needs for significant computation power in the field, as well as automated results,thus reducing manual labor. The new technology thus promises cost savings on both labor and hardwarerequirements in the field. This project will evaluate the commercial viability of the technology for real-timemicroseismic monitoring. A Canadian patent application on the use of reduced-order systems for microseismicevent localization has already been filed.