Grant: Collaborative Research and Development Grants
University of Calgary
$552,000.00
Improved seismic imaging for reservoir monitoring and sustainable energy development
EF 2013-14
Résumé
We seek to advance the resolution and fidelity of the science of seismic imaging such that, with great precision,we may monitor fluids within hydrocarbon reservoirs and track injected gasses. With a focus on Canada'sresource and sequestration environments, we will optimize recovery of Canada's finite resources and verify thatsequestered greenhouse gasses remain in place.Like photography, seismic images are formed with waves. The seismic wavelength, however, is about abillion times longer than a light wavelength, so high-resolution ""photography"" of the subsurface is a significantchallenge. An additional challenge to high resolution imaging is subsurface complexity. Though highlytrained field crews record seismic data with sophisticated equipment, the complex earth between the crew andthe target acts as an unknown and very complex lens. Seismic images, then, suffer from resolution limits dueto the long seismic wavelength, and distortion due to the practical limitations of field recording, the imperfectlyknown earth lens, and imperfectly understood physics. To compensate for these effects, we process seismicdata with image construction algorithms but this process is far from optimal. Consequently, we cannot reliablyidentify rock and fluid type or resolve reservoir detail.Our research program in seismic imaging systematically addresses seismic resolution, field acquisitionlimitations, the unknown lens of the Earth, and suboptimal image construction. We do this through acombination of controlled field experimentation, mathematical and physical modelling, and image algorithmdevelopment. We will deploy our research seismic crew to conduct experiments aimed at improving fidelityand completeness of the recorded wavefields and to better understand the physics of seismic wave propagationand attenuation. In parallel activity, we will conduct physical model experiments and also develop novelnumerical modelling methods. These three sources of data will then drive our development of more robustimaging algorithms and associated techniques.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
379744-2008
Name nom
Margrave, Gary
Department département
Geoscience
Organization id
11
Institution établissement
University of Calgary
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2008
Award amount
552000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
Area of application code
301
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Oil, gas and coal
Area of application fr
Pétrole, gaz et charbon
Research subject code
4304
Research subject group en
Geophysics
Research subject group fr
Géophysique
Research subject en
Applied geophysics
Research subject fr
Géophysique appliquée
Partie
5
Nb partie
5
Application title
Improved seismic imaging for reservoir monitoring and sustainable energy development
Keyword
NSERC
Application summary
We seek to advance the resolution and fidelity of the science of seismic imaging such that, with great precision,we may monitor fluids within hydrocarbon reservoirs and track injected gasses. With a focus on Canada'sresource and sequestration environments, we will optimize recovery of Canada's finite resources and verify thatsequestered greenhouse gasses remain in place.Like photography, seismic images are formed with waves. The seismic wavelength, however, is about abillion times longer than a light wavelength, so high-resolution ""photography"" of the subsurface is a significantchallenge. An additional challenge to high resolution imaging is subsurface complexity. Though highlytrained field crews record seismic data with sophisticated equipment, the complex earth between the crew andthe target acts as an unknown and very complex lens. Seismic images, then, suffer from resolution limits dueto the long seismic wavelength, and distortion due to the practical limitations of field recording, the imperfectlyknown earth lens, and imperfectly understood physics. To compensate for these effects, we process seismicdata with image construction algorithms but this process is far from optimal. Consequently, we cannot reliablyidentify rock and fluid type or resolve reservoir detail.Our research program in seismic imaging systematically addresses seismic resolution, field acquisitionlimitations, the unknown lens of the Earth, and suboptimal image construction. We do this through acombination of controlled field experimentation, mathematical and physical modelling, and image algorithmdevelopment. We will deploy our research seismic crew to conduct experiments aimed at improving fidelityand completeness of the recorded wavefields and to better understand the physics of seismic wave propagationand attenuation. In parallel activity, we will conduct physical model experiments and also develop novelnumerical modelling methods. These three sources of data will then drive our development of more robustimaging algorithms and associated techniques.