| Title: |
Time-lapse resistivity imaging: CSEM-data 3-D double-difference inversion and application to the Reykjanes geothermal field |
| Authors: |
Bretaudeau, François; Dubois, Frédéric; Bissavetsy Kassa, S-G; Coppo, Nicolas; Wawrzyniak, Pierre; Darnet, Mathieu |
| Contributors: |
Bureau de Recherches Géologiques et Minières (BRGM); ANR-17-CE06-0012,ExCiTING,Exploration des ressources géologiques et des réservoirs par prospection géophysique des propriétés des argiles(2017) |
| Source: |
ISSN: 0956-540X. |
| Publisher Information: |
CCSD; Oxford University Press (OUP) |
| Publication Year: |
2021 |
| Collection: |
BRGM: HAL (Bureau de Recherches Géologiques et Minières) |
| Subject Terms: |
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
| Description: |
International audience ; Time-lapse resistivity tomography bring valuable information on the physical changes occurring inside a geological reservoir. In this study, resistivity monitoring from controlled source electromagnetics (CSEM) data is investigated through synthetic and real data. We present three different schemes currently used to perform time-lapse inversions and compare these three methods: parallel, sequential and double difference. We demonstrate on synthetic tests that double difference scheme is the best way to perform time-lapse inversion when the survey parameters are fixed between the different time-lapse acquisitions. We show that double difference inversion allows to remove the imprint of correlated noise distortions, static shifts and most of the non-linearity of the inversion process including numerical noise and acquisition footprint. It also appears that this approach is robust against the baseline resistivity model quality, and even a rough starting resistivity model built from borehole logs or basic geological knowledge can be sufficient to map the time-lapse changes at their right positions. We perform these comparisons with real land time-lapse CSEM data acquired one year apart over the Reykjanes geothermal field. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1093/gji/ggab172 |
| Availability: |
https://brgm.hal.science/hal-03745644; https://brgm.hal.science/hal-03745644v1/document; https://brgm.hal.science/hal-03745644v1/file/CSEM_diff-AAM.pdf; https://doi.org/10.1093/gji/ggab172 |
| Rights: |
https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.84217941 |
| Database: |
BASE |