Seismic Geobody-driven 3D Controlled-source Electromagnetic Modeling

Lovatini, A.; Медина, Елена; Pezzoli, M.

doi:10.3997/2214-4609.20148105

Cited by 3 publications

(2 citation statements)

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“…For instance, Hansen and Mittet (2009) tried to enforce information from seismic data by including a suitable reference model against which the inversion is regularized. A strategy more similar to the one presented in this article was demonstrated by Lovatini, Medina, and Pezzoli (2012). A strategy more similar to the one presented in this article was demonstrated by Lovatini, Medina, and Pezzoli (2012).…”

Section: Introductionsupporting

confidence: 66%

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Inversion of inline and broadside marine controlled‐source electromagnetic data with constraints derived from seismic data

Wiik

Nordskag

Dischler

et al. 2015

Geophysical Prospecting

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We present a structural smoothing regularization scheme in the context of inversion of marine controlled‐source electromagnetic data. The regularizing hypothesis is that the electrical parameters have a structure similar to that of the elastic parameters observed from seismic data. The regularization is split into three steps. First, we ensure that our inversion grid conforms with the geometry derived from seismic. Second, we use a seismic stratigraphic attribute to define a spatially varying regularization strength. Third, we use an indexing strategy on the inversion grid to define smoothing along the seismic geometry. Enforcing such regularization in the inversion will encourage an inversion result that is more intuitive for the interpreter to deal with. However, the interpreter should also be aware of the bias introduced by using seismic data for regularization. We illustrate the method using one synthetic example and one field data example. The results show how the regularization works and that it clearly enforces the structure derived from seismic data. From the field data example we find that the inversion result improves when the structural smoothing regularization is employed. Including the broadside data improves the inversion results even more, due to a better balancing between the sensitivities for the horizontal and vertical resistivities.

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Section: Introductionsupporting

confidence: 66%

“…Brown, Key, and Singh (2012) suggested to use the seismic velocity model to determine the regularizer. A strategy more similar to the one presented in this article was demonstrated by Lovatini, Medina, and Pezzoli (2012). There, they defined geobodies, or sub-volumes, based on attributes derived from seismic data.…”

Section: Introductionmentioning

confidence: 99%

Inversion of inline and broadside marine controlled‐source electromagnetic data with constraints derived from seismic data

Wiik

Nordskag

Dischler

et al. 2015

Geophysical Prospecting

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Controlled-Source Electromagnetic Approaches for Hydrocarbon Exploration and Monitoring on Land

Streich

2015

Surv Geophys

141

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Enhancing imaging of the Sub‐Andean Foothills geology using magnetotellurics: A case history of a 3D survey in southern Bolivia

Pezzoli¹,

Lazaro²,

Cuevas³

et al. 2020

Geophysical Prospecting

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A magnetotelluric acquisition and modelling campaign, comprising 400 full tensor soundings, was carried out in the Sub‐Andean Foothills in the area located south of Santa Cruz de la Sierra, Bolivia. The objective of the survey was to improve the imaging of the Paleozoic section and provide insight to the overall structure of the Devonian Silurian complex. The acquired data were inverted assuming both two‐dimensional and three‐dimensional dimensionality of the subsurface structure, adopting a multi‐step iterative workflow, which began applying unconstrained inversion and introduced increasing constraints determined at each following step based on the interpretation of the latest inversion results. The geological interpretation of the final inversion results allowed to better image the expected complexity in the structures, particularly highlighting several different levels of detachment, mainly in the area of Kirusillas Formation. Furthermore, an oblique sense was identified of the main tendency of N‐S deformation, related to a dextral transgressional movement that generates discrete dislocations, at a length scale of the order of a few kilometres.

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Seismic Geobody-driven 3D Controlled-source Electromagnetic Modeling

Cited by 3 publications

References 0 publications

Inversion of inline and broadside marine controlled‐source electromagnetic data with constraints derived from seismic data

Inversion of inline and broadside marine controlled‐source electromagnetic data with constraints derived from seismic data

Controlled-Source Electromagnetic Approaches for Hydrocarbon Exploration and Monitoring on Land

Enhancing imaging of the Sub‐Andean Foothills geology using magnetotellurics: A case history of a 3D survey in southern Bolivia

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