LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Compartmentalization of the Coso East Flank geothermal field imaged by 3-D full-tensor MT inversion

Photo by glenncarstenspeters from unsplash

Author(s): Lindsey, NJ; Kaven, JO; Davatzes, N; Newman, GA | Abstract: © The Authors 2016. Published by Oxford University Press on behalf of The Royal Astronomical Society. Previous magnetotelluric (MT)… Click to show full abstract

Author(s): Lindsey, NJ; Kaven, JO; Davatzes, N; Newman, GA | Abstract: © The Authors 2016. Published by Oxford University Press on behalf of The Royal Astronomical Society. Previous magnetotelluric (MT) studies of the high-temperature Coso geothermal system in California identified a subvertical feature of lowresistivity (2-5Ohmm) and appreciable lateral extent (g1 km) in the producing zone of the East Flank field. However, these models could not reproduce gross 3-D effects in the recorded data. We perform 3-D full-tensor inversion and retrieve a resistivity model that out-performs previous 2-D and 3-D off-diagonal models in terms of its fit to the complete 3-D MT data set as well as the degree of modelling bias. Inclusion of secondary Zxx and Zyy data components leads to a robust east-dip (60°) to the previously identified conductive East Flank reservoir feature, which correlates strongly with recently mapped surface faults, downhole well temperatures, 3-D seismic reflection data, and local microseismicity. We perform synthetic forward modelling to test the best-fit dip of this conductor using the response at a nearby MT station. We interpret the dipping conductor as a fractured and fluidized compartment, which is structurally controlled by an unmapped blind East Flank fault zone.

Keywords: full tensor; coso; field; east flank; tensor inversion

Journal Title: Geophysical Journal International
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.