<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Michael Commer</dc:contributor>
  <dc:contributor>Roland Gritto</dc:contributor>
  <dc:contributor>Jared R. Peacock</dc:contributor>
  <dc:contributor>David Alumbaugh</dc:contributor>
  <dc:contributor>Steve P. Jarpe</dc:contributor>
  <dc:contributor>Craig Hartline</dc:contributor>
  <dc:creator>Evan Um</dc:creator>
  <dc:date>2023</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;The Geysers geothermal field located in northern California, USA, is the world’s largest electricity-generating geothermal facility. To delineate the spatio-temporal distribution of reservoir steam and recharge water, we have collected microseismic and magnetotelluric (MT) data using a dense array of stations in 2021. The microseismic and MT data have been inverted together using a 3D cooperative joint inversion workflow. The joint inversion exploits a cross-gradient structural constraint because electrical conductivity structures observed in the geothermal field are strongly correlated with&amp;nbsp;&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1190/geo2022-0521.1</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Society of Exploration Geophysicists</dc:publisher>
  <dc:title>Cooperative joint inversion of magnetotelluric and microseismic data for imaging the Geysers geothermal field, California, USA</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>