Full Project
Title:
Investigating the relation between
geothermal reservoir compaction, geometry and production rates from a
ten-year InSAR ground displacement history at the Bradys and Desert Peak
fields: Assessing the potential of retrospective InSAR monitoring to
assist reservoir management and expansion over fields without previously
documented subsidence
PI:
Gary Oppliger1
Co-PI: Mark Coolbaugh2,
Collaborator: William Foxall3
1Arthur Brant
Laboratory for Exploration Geophysics, University
of Nevada, Reno.
2
Great Basin Center for Geothermal Energy, University of Nevada, Reno.
3 Lawrence Livermore National
Laboratory
ABSTRACT
Knowledge of a geothermal reservoir’s hydro-thermal-mechanical response to
production is critical to sustaining and/or expanding its production
capacity. We propose investigating the relation between geothermal
reservoir compaction (or bulk porosity loss), geometry and production
rates by recovering a ten-year InSAR ground displacement history at the
Bradys and Desert Peak fields, in west central Nevada. Our objectives are
to 1) Demonstrate the recover and application of retrospective InSAR
annual histories for geothermal fields lacking documented subsidence; 2)
Identify specific reservoir structural controls through
integration of the subsidence patterns with mapped geological and
geophysical data; 3) Chart measures of each reservoir’s subsidence vs.
production sensitivity over time to define its progression toward
sustainability. The work will lead to increased utilization of geothermal
resources in the Western United States by providing basic measurements and
interpretations that will directly assist reservoir management and
expansion at Bradys and Desert Peak. Knowledge of the
reservoir’s subsidence geometry and response to production will
immediately assist in defining preferred locations for new production and
recharge wells that can improve reservoir performance. The project’s
publication of the case histories and observation data sets will inform
the geothermal community and inspire broader applications. The method’s
low cost, available data and processing tools encourage its wide
application. |