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Grant: Collaborative Research and Development Grants

University of Calgary

$392,000.00

Quantitative characterization and monitoring of reservoir properties, pressures, fluids and fractures with multicomponent and quasi-continuous full-waveform seismology

EF 2023-24

Résumé
Full waveform (FWI) seismic methods have achieved spectacular industrial and academic successes in image-forming of complex offshore reservoirs, but as practical, regular-use tools for monitoring of onshore conventional and unconventional production, CO2 and wastewater injection, and EOR methods, basic and applied scientific progress is still required. Fortunately, in aid of making such progress, geophysicists now have at hand powerful new geo-computational tools, in the form of HPC and artificial intelligence technology, and powerful new instrumentation and seismic acquisition tools, in the form of permanent controllable sources, broadband geophones and distributed acoustic sensing (DAS, or fibre-optic) seismic sensors, and drillstring acoustic technology. We propose to create the next generation of practical, FWI reservoir characterization and monitoring tools, involving the determination of high resolution maps of rock physics properties - pressures, fluids, fractures and viscosities - through analysis of the elasticity, viscosity, and anisotropy of the complex modern reservoir environment. Our group has carried out significant, though initial, research in broadband and fibre-optic field and laboratory acquisition, practical multi-parameter elastic, viscoelastic and anisotropic FWI method development, rock-physics seismic inversion, near surface characterization, drillstring imaging, machine learning, and HPC methods for large computation / large data problems. We propose to grow and expand these early successes, creating a practical reservoir waveform package. FWI involving multicomponent and DAS data, elastic FWI-rock physics sensitivity analysis, surface wave analysis and processing, machine learning as a framework for seismic inversion, and new blended acquisition and deblending methodologies, are key expected outcomes of the research. These efforts will bring about both knowledge and technology creation in high-resolution geological mapping. This benefits Canada through technical HQP training, and research with outcomes (high resolution surveillance capabilities) that directly affect resource extraction efficiency, geohazard mitigation, and which contribute to reduction of land, water, and energy use.
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
543578-2019
Name nom
Innanen, Kristopher KAH
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
2023
Competition year année de concours
2019
Award amount
392000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
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
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
4304
Research subject group en
Geophysics
Research subject group fr
Applied geophysics
Research subject en
Géophysique
Research subject fr
Géophysique appliquée
Application title
Quantitative characterization and monitoring of reservoir properties, pressures, fluids and fractures with multicomponent and quasi-continuous full-waveform seismology
Keyword
Seismic acquisition; Seismic exploration; Seismic inversion; Seismic monitoring
Application summary
Full waveform (FWI) seismic methods have achieved spectacular industrial and academic successes in image-forming of complex offshore reservoirs, but as practical, regular-use tools for monitoring of onshore conventional and unconventional production, CO2 and wastewater injection, and EOR methods, basic and applied scientific progress is still required. Fortunately, in aid of making such progress, geophysicists now have at hand powerful new geo-computational tools, in the form of HPC and artificial intelligence technology, and powerful new instrumentation and seismic acquisition tools, in the form of permanent controllable sources, broadband geophones and distributed acoustic sensing (DAS, or fibre-optic) seismic sensors, and drillstring acoustic technology. We propose to create the next generation of practical, FWI reservoir characterization and monitoring tools, involving the determination of high resolution maps of rock physics properties - pressures, fluids, fractures and viscosities - through analysis of the elasticity, viscosity, and anisotropy of the complex modern reservoir environment. Our group has carried out significant, though initial, research in broadband and fibre-optic field and laboratory acquisition, practical multi-parameter elastic, viscoelastic and anisotropic FWI method development, rock-physics seismic inversion, near surface characterization, drillstring imaging, machine learning, and HPC methods for large computation / large data problems. We propose to grow and expand these early successes, creating a practical reservoir waveform package. FWI involving multicomponent and DAS data, elastic FWI-rock physics sensitivity analysis, surface wave analysis and processing, machine learning as a framework for seismic inversion, and new blended acquisition and deblending methodologies, are key expected outcomes of the research. These efforts will bring about both knowledge and technology creation in high-resolution geological mapping. This benefits Canada through technical HQP training, and research with outcomes (high resolution surveillance capabilities) that directly affect resource extraction efficiency, geohazard mitigation, and which contribute to reduction of land, water, and energy use.