WSJointInv2D-MT-DCR: An efficient joint two-dimensional magnetotelluric and direct current resistivity inversion

© 2017 Elsevier Ltd An efficient joint two-dimensional direct current resistivity (DCR) and magnetotelluric (MT) inversion, referred to as WSJointInv2D-MT-DCR, was developed with FORTRAN 95 based on the data space Occam's inversion algorithm. Our joint inversion software can be used to invert j...

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Main Authors: Puwis Amatyakul, Chatchai Vachiratienchai, Weerachai Siripunvaraporn
Other Authors: Mahidol University
Format: Article
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/42372
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spelling th-mahidol.423722019-03-14T15:03:25Z WSJointInv2D-MT-DCR: An efficient joint two-dimensional magnetotelluric and direct current resistivity inversion Puwis Amatyakul Chatchai Vachiratienchai Weerachai Siripunvaraporn Mahidol University Curl-E Geophysics Co. Ltd. Computer Science Earth and Planetary Sciences © 2017 Elsevier Ltd An efficient joint two-dimensional direct current resistivity (DCR) and magnetotelluric (MT) inversion, referred to as WSJointInv2D-MT-DCR, was developed with FORTRAN 95 based on the data space Occam's inversion algorithm. Our joint inversion software can be used to invert just the MT data or the DCR data, or invert both data sets simultaneously to get the electrical resistivity structures. Since both MT and DCR surveys yield the same resistivity structures, the two data types enhance each other leading to a better interpretation. Two synthetic and a real field survey are used here to demonstrate that the joint DCR and MT surveys can help constrain each other to reduce the ambiguities occurring when inverting the DCR or MT alone. The DCR data increases the lateral resolution of the near surface structures while the MT data reveals the deeper structures. When the MT apparent resistivity suffers from the static shift, the DCR apparent resistivity can serve as a replacement for the estimation of the static shift factor using the joint inversion. In addition, we also used these examples to show the efficiency of our joint inversion code. With the availability of our new joint inversion software, we expect the number of joint DCR and MT surveys to increase in the future. 2018-12-21T07:20:32Z 2019-03-14T08:03:25Z 2018-12-21T07:20:32Z 2019-03-14T08:03:25Z 2017-05-01 Article Computers and Geosciences. Vol.102, (2017), 100-108 10.1016/j.cageo.2017.02.010 00983004 2-s2.0-85013421851 https://repository.li.mahidol.ac.th/handle/123456789/42372 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85013421851&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Earth and Planetary Sciences
spellingShingle Computer Science
Earth and Planetary Sciences
Puwis Amatyakul
Chatchai Vachiratienchai
Weerachai Siripunvaraporn
WSJointInv2D-MT-DCR: An efficient joint two-dimensional magnetotelluric and direct current resistivity inversion
description © 2017 Elsevier Ltd An efficient joint two-dimensional direct current resistivity (DCR) and magnetotelluric (MT) inversion, referred to as WSJointInv2D-MT-DCR, was developed with FORTRAN 95 based on the data space Occam's inversion algorithm. Our joint inversion software can be used to invert just the MT data or the DCR data, or invert both data sets simultaneously to get the electrical resistivity structures. Since both MT and DCR surveys yield the same resistivity structures, the two data types enhance each other leading to a better interpretation. Two synthetic and a real field survey are used here to demonstrate that the joint DCR and MT surveys can help constrain each other to reduce the ambiguities occurring when inverting the DCR or MT alone. The DCR data increases the lateral resolution of the near surface structures while the MT data reveals the deeper structures. When the MT apparent resistivity suffers from the static shift, the DCR apparent resistivity can serve as a replacement for the estimation of the static shift factor using the joint inversion. In addition, we also used these examples to show the efficiency of our joint inversion code. With the availability of our new joint inversion software, we expect the number of joint DCR and MT surveys to increase in the future.
author2 Mahidol University
author_facet Mahidol University
Puwis Amatyakul
Chatchai Vachiratienchai
Weerachai Siripunvaraporn
format Article
author Puwis Amatyakul
Chatchai Vachiratienchai
Weerachai Siripunvaraporn
author_sort Puwis Amatyakul
title WSJointInv2D-MT-DCR: An efficient joint two-dimensional magnetotelluric and direct current resistivity inversion
title_short WSJointInv2D-MT-DCR: An efficient joint two-dimensional magnetotelluric and direct current resistivity inversion
title_full WSJointInv2D-MT-DCR: An efficient joint two-dimensional magnetotelluric and direct current resistivity inversion
title_fullStr WSJointInv2D-MT-DCR: An efficient joint two-dimensional magnetotelluric and direct current resistivity inversion
title_full_unstemmed WSJointInv2D-MT-DCR: An efficient joint two-dimensional magnetotelluric and direct current resistivity inversion
title_sort wsjointinv2d-mt-dcr: an efficient joint two-dimensional magnetotelluric and direct current resistivity inversion
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/42372
_version_ 1763488684271730688