Petrophysical Joint Inversion of seismic and EM attributes: A case study

Miotti, Fabio; Guerra, I.; Ceci, F.; Lovatini, A.; Paydayesh, M.; Leathard, M.; Sharma, A.

doi:10.1190/segam2013-0877.1

Cited by 10 publications

(2 citation statements)

References 10 publications

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“…Various schemes exist e.g. petrophysical joint inversion (PJI) of seismic and CSEM (Miotti et al, 2013), joint interpretation of CSEM and multivariate seismic attributes analysis (Alvarez et al, 2017), and the prospectivity evaluation approach (Baltar and Barker, 2015) where ATR and background are interpreted from inverted data and a Monte Carlo simulation defines probability distributions for hydrocarbon volume controlling parameters to provide volume range quantiles. The approach taken here is different and more labor and computationally intensive.…”

Section: Maturing a Framework For Csem Interpretationmentioning

confidence: 99%

Maturing broadband 3D CSEM for improved reservoir property prediction in the Realgrunnen Group at Wisting, Barents Sea

Granli¹,

Veire²,

Gabrielsen

et al. 2017

SEG Technical Program Expanded Abstracts 2017

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In this paper we describe the highlights from a wide range of CSEM applications and developments in the Wisting area. At an initial stage, by including higher frequencies in 3D CSEM inversion at Wisting, we realized that our CSEM data contained a lot more detailed information about reservoir properties than earlier anticipated. Beyond the traditional application of predicting high vs. low hydrocarbon saturation, the CSEM data are used for estimation of hydrocarbon column and is starting to be used in estimation of reservoir heterogeneity and even connectivity. Our quantitative workflows are still maturing and are expected to provide future value. At Wisting we have been fortunate to be in an active appraisal setting where new wells have repeatedly provided calibration and adjustment to our CSEM workflows. During almost four years we have acquired two field-scale tailored 3D CSEM surveys with gradually denser spatial sampling and higher frequencies. These have provided higher accuracy and better spatial resolution than the conventional coarse-grid survey design used in multi-client projects. Our project work has been highly cross-disciplinary, where CSEM expertise paired with specialists in rock physics, seismic AVO and geology has worked very well. Our ability to operate as one team across company barriers is a key success factor with learning, re-learning and geoscience integration as main ingredients.

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Section: Maturing a Framework For Csem Interpretationmentioning

confidence: 99%

Maturing broadband 3D CSEM for improved reservoir property prediction in the Realgrunnen Group at Wisting, Barents Sea

Granli¹,

Veire²,

Gabrielsen

et al. 2017

SEG Technical Program Expanded Abstracts 2017

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“…During the last few years, numerous methodologies have been presented to interpret CSEM data either qualitatively or quantitatively, and the most recent trend in that respect is the development of methods to integrate CSEM and seismic data in a common interpretation: qualitative interpretation (Escalera Alcocer et al, 2013); quantitative interpretation of CSEM and seismic based on rock physics relationship (Harris et al, 2009;Morten et al, 2011;Tomlinson et al, 2013); or full petrophysical joint CSEMseismic inversion (Miotti et al, 2013). The success of such joint approaches is based on the complementarity of these data: whereas seismic data are, in the best case, only sensitive in a qualitative way to the fluid content, CSEM is very sensitive to fluid saturation.…”

Section: Introductionmentioning

confidence: 99%

Integration of seismic, CSEM, and well data in the Perdido basin, Gulf of Mexico

Nivlet

Pérez

Alcocer

et al. 2014

SEG Technical Program Expanded Abstracts 2014

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We present the results of a joint interpretation of both 3D seismic and 3D CSEM data from a prospect in the Perdido fold belt (deep offshore Gulf of Mexico). The study began after the first exploration well was drilled over the structure, confirming the presence of oil in two Early Eocene intervals. The integrated methodology tailored for the study has resulted in (1) a better understanding of the sensitivity of the CSEM data, (2) discrimination between lithology and fluid effects and finally (3) an update of the oil volume estimated over the structure.

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A new petrophysical joint inversion workflow: Advancing on reservoir’s characterization challenges

Miotti¹,

Zerilli²,

Menezes

et al. 2018

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Reservoir characterization objectives are to understand the reservoir rocks and fluids through accurate measurements to help asset teams develop optimal production decisions. Within this framework, we develop a new workflow to perform petrophysical joint inversion (PJI) of seismic and controlled-source electromagnetic (CSEM) data to resolve for reservoirs properties. Our workflow uses the complementary information contained in seismic, CSEM, and well-log data to improve the reservoir’s description drastically. The advent of CSEM, measuring resistivity, brought the possibility of integrating multiphysics data within the characterization workflow, and it has the potential to significantly enhance the accuracy at which reservoir properties and saturation, in particular, can be determined. We determine the power of PJI in the retrieval of reservoir parameters through a case study, based on a deepwater oil field offshore Brazil in the Sergipe-Alagoas Basin, to augment the certainty with which reservoir lithology and fluid properties are constrained.

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Petrophysical Joint Inversion of seismic and EM attributes: A case study

Cited by 10 publications

References 10 publications

Maturing broadband 3D CSEM for improved reservoir property prediction in the Realgrunnen Group at Wisting, Barents Sea

Maturing broadband 3D CSEM for improved reservoir property prediction in the Realgrunnen Group at Wisting, Barents Sea

Integration of seismic, CSEM, and well data in the Perdido basin, Gulf of Mexico

A new petrophysical joint inversion workflow: Advancing on reservoir’s characterization challenges

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