Evaluating the State of Stress away from the Borehole Email Page
email
Print This Page
print
Performer:  Los Alamos National Laboratory (LANL) Location:  Los Alamos, New Mexico
Project Duration:  10/01/2014 – 12/30/2016 Award Number:  FWP-FE-451-14-FY15
Technology Area:  Geologic Storage Total Award Value:  $1,248,993
Key Technology:  GS: Geochemical Impacts DOE Share:  $1,248,993
Performer Share:  $0

Modeling stress at large scale
Modeling stress at large scale

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.

Presentations, Papers, and Publications

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