Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps

The CSEM method, which is frequently used as a risk-reduction tool in hydrocarbon exploration, is finally moving to a new frontier: reservoir monitoring and surveillance. In the present work, we present a CSEM time-lapse interpretation workflow. One essential aspect of our workflow is the demonstrat...

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Autores principales:	Paulo T. L. Menezes, Jorlivan L. Correa, Leonardo M. Alvim, Adriano R. Viana, Rui C. Sansonowski
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	CSEM monitoring mature oilfields SoPhiH maps sweet spots anomalous transverse resistance Technology T
Acceso en línea:	https://doaj.org/article/121d80095e6d4fe7be04017fc6fd38d2
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id	oai:doaj.org-article:121d80095e6d4fe7be04017fc6fd38d2
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spelling	oai:doaj.org-article:121d80095e6d4fe7be04017fc6fd38d22021-11-11T15:56:29ZTime-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps10.3390/en142171591996-1073https://doaj.org/article/121d80095e6d4fe7be04017fc6fd38d22021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7159https://doaj.org/toc/1996-1073The CSEM method, which is frequently used as a risk-reduction tool in hydrocarbon exploration, is finally moving to a new frontier: reservoir monitoring and surveillance. In the present work, we present a CSEM time-lapse interpretation workflow. One essential aspect of our workflow is the demonstration of the linear relationship between the anomalous transverse resistance, an attribute extracted from CSEM data inversion, and the SoPhiH attribute, which is estimated from fluid-flow simulators. Consequently, it is possible to reliably estimate SoPhiH maps from CSEM time-lapse surveys using such a relationship. We demonstrate our workflow’s effectiveness in the mature Marlim oilfield by simulating the CSEM time-lapse response after 30 and 40 years of seawater injection and detecting the remaining sweet spots in the reservoir. The Marlim reservoirs are analogous to several turbidite reservoirs worldwide, which can also be appraised with the proposed workflow. The prediction of SoPhiH maps by using CSEM data inversion can significantly improve reservoir time-lapse characterization.Paulo T. L. MenezesJorlivan L. CorreaLeonardo M. AlvimAdriano R. VianaRui C. SansonowskiMDPI AGarticleCSEM monitoringmature oilfieldsSoPhiH mapssweet spotsanomalous transverse resistanceTechnologyTENEnergies, Vol 14, Iss 7159, p 7159 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	CSEM monitoring mature oilfields SoPhiH maps sweet spots anomalous transverse resistance Technology T
spellingShingle	CSEM monitoring mature oilfields SoPhiH maps sweet spots anomalous transverse resistance Technology T Paulo T. L. Menezes Jorlivan L. Correa Leonardo M. Alvim Adriano R. Viana Rui C. Sansonowski Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps
description	The CSEM method, which is frequently used as a risk-reduction tool in hydrocarbon exploration, is finally moving to a new frontier: reservoir monitoring and surveillance. In the present work, we present a CSEM time-lapse interpretation workflow. One essential aspect of our workflow is the demonstration of the linear relationship between the anomalous transverse resistance, an attribute extracted from CSEM data inversion, and the SoPhiH attribute, which is estimated from fluid-flow simulators. Consequently, it is possible to reliably estimate SoPhiH maps from CSEM time-lapse surveys using such a relationship. We demonstrate our workflow’s effectiveness in the mature Marlim oilfield by simulating the CSEM time-lapse response after 30 and 40 years of seawater injection and detecting the remaining sweet spots in the reservoir. The Marlim reservoirs are analogous to several turbidite reservoirs worldwide, which can also be appraised with the proposed workflow. The prediction of SoPhiH maps by using CSEM data inversion can significantly improve reservoir time-lapse characterization.
format	article
author	Paulo T. L. Menezes Jorlivan L. Correa Leonardo M. Alvim Adriano R. Viana Rui C. Sansonowski
author_facet	Paulo T. L. Menezes Jorlivan L. Correa Leonardo M. Alvim Adriano R. Viana Rui C. Sansonowski
author_sort	Paulo T. L. Menezes
title	Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps
title_short	Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps
title_full	Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps
title_fullStr	Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps
title_full_unstemmed	Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps
title_sort	time-lapse csem monitoring: correlating the anomalous transverse resistance with sophih maps
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/121d80095e6d4fe7be04017fc6fd38d2
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Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps

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