Time-Lapse CSEM Monitoring: Correlating the Anomalous Transverse Resistance with SoPhiH Maps
Paulo T. L. Menezes,
Jorlivan L. Correa,
Leonardo M. Alvim,
Adriano R. Viana and
Rui C. Sansonowski
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Paulo T. L. Menezes: EXP/PE/AB, Av. Henrique Valadares, 28, Rio de Janeiro 20231-030, Brazil
Jorlivan L. Correa: EXP/PE/AB, Av. Henrique Valadares, 28, Rio de Janeiro 20231-030, Brazil
Leonardo M. Alvim: RES/TR/GFR, Av. Henrique Valadares, 28, Rio de Janeiro 20231-030, Brazil
Adriano R. Viana: EXP/PE/ACADUP-EXP, Av. Henrique Valadares, 28, Rio de Janeiro 20231-030, Brazil
Rui C. Sansonowski: RES/TR/GFR, Av. Henrique Valadares, 28, Rio de Janeiro 20231-030, Brazil
Energies, 2021, vol. 14, issue 21, 1-18
Abstract:
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.
Keywords: CSEM monitoring; mature oilfields; SoPhiH maps; sweet spots; anomalous transverse resistance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:21:p:7159-:d:669955
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