Sensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks

We have performed several sensitivity studies to assess the ability of the Full Wave Inversion method to detect, delineate and characterize faults in a crystalline geothermal reservoir from OVSP data. The distant goal is to apply the method to the Soultz-sous-Forêts site (France). Our approach consi...

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Autores principales:	Yassine Abdelfettah, Christophe Barnes
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	geothermal OVSP well seismic data fault fracture EGS Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/29650f9d5fdb4edbab03c4b6cf8e40b5
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spelling	oai:doaj.org-article:29650f9d5fdb4edbab03c4b6cf8e40b52021-11-25T17:42:45ZSensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks10.3390/geosciences111104422076-3263https://doaj.org/article/29650f9d5fdb4edbab03c4b6cf8e40b52021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3263/11/11/442https://doaj.org/toc/2076-3263We have performed several sensitivity studies to assess the ability of the Full Wave Inversion method to detect, delineate and characterize faults in a crystalline geothermal reservoir from OVSP data. The distant goal is to apply the method to the Soultz-sous-Forêts site (France). Our approach consists of performing synthetic Full Wave 2D Inversion experiments using offset vertical seismic and comparing the estimated fields provided by the inversion, i.e., the estimated underground images, to the initial reference model including the fault target. We first tuned the inversion algorithmic parameters in order to adapt the FWI software, originally dedicated to a sedimentary context, to a crystalline context. In a second step, we studied the sensitivity of the FWI fault imaging results as a function of the acquisition geometry parameters, namely, the number of shots, the intershot distance, the maximum offset and also the antenna length and well deviation. From this study, we suggest rules to design the acquisition geometry in order to improve the fault detection, delineation and characterization. In a third step, we studied the sensitivity of the FWI fault imaging results as a function of the fault or the fault zone characteristics, namely, the fault dip, thickness and the contrast of physical parameters between the fault materials and the surrounding fresh rocks. We have shown that a fault with high dip, between 60 and 90° as thin as 10 m (i.e. lower than a tenth of the seismic wavelength of 120 m for Vp and 70 m for Vs) can be imaged by FWI, even in the presence of additive gaussian noise. In summary, for a crystalline geological context, and dealing with acceptable S/N ratio data, the FWI show a high potential for accurately detecting, delineating and characterizing the fault zones.Yassine AbdelfettahChristophe BarnesMDPI AGarticlegeothermalOVSPwell seismic datafaultfractureEGSGeologyQE1-996.5ENGeosciences, Vol 11, Iss 442, p 442 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geothermal OVSP well seismic data fault fracture EGS Geology QE1-996.5
spellingShingle	geothermal OVSP well seismic data fault fracture EGS Geology QE1-996.5 Yassine Abdelfettah Christophe Barnes Sensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks
description	We have performed several sensitivity studies to assess the ability of the Full Wave Inversion method to detect, delineate and characterize faults in a crystalline geothermal reservoir from OVSP data. The distant goal is to apply the method to the Soultz-sous-Forêts site (France). Our approach consists of performing synthetic Full Wave 2D Inversion experiments using offset vertical seismic and comparing the estimated fields provided by the inversion, i.e., the estimated underground images, to the initial reference model including the fault target. We first tuned the inversion algorithmic parameters in order to adapt the FWI software, originally dedicated to a sedimentary context, to a crystalline context. In a second step, we studied the sensitivity of the FWI fault imaging results as a function of the acquisition geometry parameters, namely, the number of shots, the intershot distance, the maximum offset and also the antenna length and well deviation. From this study, we suggest rules to design the acquisition geometry in order to improve the fault detection, delineation and characterization. In a third step, we studied the sensitivity of the FWI fault imaging results as a function of the fault or the fault zone characteristics, namely, the fault dip, thickness and the contrast of physical parameters between the fault materials and the surrounding fresh rocks. We have shown that a fault with high dip, between 60 and 90° as thin as 10 m (i.e. lower than a tenth of the seismic wavelength of 120 m for Vp and 70 m for Vs) can be imaged by FWI, even in the presence of additive gaussian noise. In summary, for a crystalline geological context, and dealing with acceptable S/N ratio data, the FWI show a high potential for accurately detecting, delineating and characterizing the fault zones.
format	article
author	Yassine Abdelfettah Christophe Barnes
author_facet	Yassine Abdelfettah Christophe Barnes
author_sort	Yassine Abdelfettah
title	Sensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks
title_short	Sensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks
title_full	Sensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks
title_fullStr	Sensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks
title_full_unstemmed	Sensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks
title_sort	sensitivity analysis of fwi applied to ovsp synthetic data for fault detection and characterization in crystalline rocks
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/29650f9d5fdb4edbab03c4b6cf8e40b5
work_keys_str_mv	AT yassineabdelfettah sensitivityanalysisoffwiappliedtoovspsyntheticdataforfaultdetectionandcharacterizationincrystallinerocks AT christophebarnes sensitivityanalysisoffwiappliedtoovspsyntheticdataforfaultdetectionandcharacterizationincrystallinerocks
_version_	1718412093927981056

Sensitivity Analysis of FWI Applied to OVSP Synthetic Data for Fault Detection and Characterization in Crystalline Rocks

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