Evaluating the State of Stress Away from the Borehole

 

Modeling stress at large scale
Modeling stress at large scale
Performer: 
LANL - Los Alamos National Laboratory
Website:  Los Alamos National Laboratory
Award Number:  FWP-FE-451-14-FY15
Project Duration:  10/01/2014 – 12/30/2016
Total Award Value:  $1,248,993
DOE Share:  $1,248,993
Performer Share:  $0
Technology Area:  Geologic Storage
Key Technology:  GS: Geochemical Impacts
Location:  Los Alamos, New Mexico

Project Description

This effort is developing a methodology for characterizing the in-situ state of stress in the reservoir away from boreholes, where direct stress measurements are not attainable. Initially, the project team is developing and demonstrating a novel approach, advanced multi-physics tomography for determining the bulk stress in the reservoir. Next, the team is developing an imaging technique for volumetric elastic modulus and density. Background tectonic state of stress is being calculated and used to produce a stress field map of North America. Critically stressed faults are being identified using low-magnitude, micro-seismic events. Lastly, a linkage between stress and permeability of fracture networks is being developed. A discrete fracture network (DFN) is to be developed using micro-seismic observations described above. Permeability and pore pressure determined with a reservoir-scale joint inversion methodology is being incorporated. Ultimately, the project is developing guidelines for applying DFN joint-inversion methodology to real field sites.

Project Benefits

This research project is developing techniques to calculate the stress tensor and changes to the stress tensor at the reservoir scale combining tectonic and local contributions to ensure containment and monitor interactions between injection operations. In addition, this effort supports the SubTER Stress and Induced Seismicity Pillar.

Contact Information

Federal Project Manager 
Andrea Dunn: andrea.dunn@netl.doe.gov
Technology Manager 
Traci Rodosta: traci.rodosta@netl.doe.gov
Principal Investigator 
David Coblentz: coblentz@lanl.gov
 

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