Fast Deterministic Geostatistical Inversion

Cherrett, Adam; Escobar, I.; Hansen, H.P.

doi:10.3997/2214-4609.20149359

Cited by 7 publications

(7 citation statements)

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“…Cherret et al, 2011), using the Sine-1X and Olga-1X wells ( Figure 1) to derive the empirical relationships between seismic interval velocity from seismic data, and corresponding P-impedance and porosity from well data (Wagner, 2014). It was obtained from a deterministic inversion workflow (c.f.…”

Section: Seismic Inversion Porositymentioning

confidence: 99%

“…It was obtained from a deterministic inversion workflow (c.f. Cherret et al, 2011), using the Sine-1X and Olga-1X wells (Figure 1) to derive the empirical relationships between seismic interval velocity from seismic data, and corresponding P-impedance and porosity from well data (Wagner, 2014). Standard deviation of the porosity was estimated from a detrended cross-plot of porosity over Ln(Ip) and amounts to 0.2 ln(Ip) or 20% Ip, which corresponds to 10 porosity units.…”

Section: Seismic Inversion Porositymentioning

confidence: 99%

“…Gennaro et al, 2013). Because of its general purity in the Danish Central Graben (90%-100% CaCO 3 ), and well-constraint fluid content, seismic reflections in the chalk are often interpreted as porosity variations, which can be quantified through (deterministic) seismic inversion (Cherret, Escobar, & Hansen, 2011;Japsen et al, 2005). Because of its general purity in the Danish Central Graben (90%-100% CaCO 3 ), and well-constraint fluid content, seismic reflections in the chalk are often interpreted as porosity variations, which can be quantified through (deterministic) seismic inversion (Cherret, Escobar, & Hansen, 2011;Japsen et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…The acoustic impedance (density multiplied by velocity) in chalk is dependent on three main parameters: porosity and pore fluid, matrix mineralogy and amount of contact cement (El Husseiny & Vanorio, 2015;Fabricius, 2003;Gommesen, Fabricius, Mukerji, Mavko, & Pedersen, 2007;Regnet et al, 2015). Because of its general purity in the Danish Central Graben (90%-100% CaCO 3 ), and well-constraint fluid content, seismic reflections in the chalk are often interpreted as porosity variations, which can be quantified through (deterministic) seismic inversion (Cherret, Escobar, & Hansen, 2011;Japsen et al, 2005). However, it is possible that other minerals than calcite occur within the chalk, which could potentially offset the porosity estimation from such seismic inversion.…”

Section: Introductionmentioning

confidence: 99%

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Seismic geomorphology and origin of diagenetic geobodies in the Upper Cretaceous Chalk of the North Sea Basin (Danish Central Graben)

et al. 2018

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Kilometre-scale geobodies of diagenetic origin have been documented for the first time in a high-resolution 3D seismic survey of the Upper Cretaceous chalks of the Danish Central Graben, North Sea Basin. Based on detailed geochemical, petrographic and petrophysical analyses, it is demonstrated that the geobodies are of an open-system diagenetic origin caused by ascending basin fluids guided by faults and stratigraphic heterogeneities. Increased amounts of porosity-occluding cementation, contact cement and/or high-density/high-velocity minerals caused an impedance contrast that can be mapped in seismic data, and represent a hitherto unrecognized, third type of heterogeneity in the chalk deposits in addition to the well-known sedimentological and structural features. The distribution of the diagenetic geobodies is controlled by porosity/permeability contrasts of stratigraphic origin, such as hardgrounds associated with formation tops, and the feeder fault systems. One of these, the Top Campanian Unconformity at the top of the Gorm Formation, is particularly effective and created a basin-wide barrier separating low-porosity chalk below from high-porosity chalk above (a Regional Porosity Marker, RPM). It is in particular in this upper high-porosity unit (Tor and EkofiskFormations) that the diagenetic geobodies occur, delineated by "Stratigraphy Cross-cutting Reflectors" (SCRs) of which eight different types have been distinguished. The geobodies have been interpreted as the result of: (i) escaping pore fluids due to top seal failure, followed by local mechanical compaction of highporous chalks, paired with (ii) ascension of basinal diagenetic fluids along fault systems that locally triggered cementation of calcite and dolomite within the chalk, causing increased contact cements and/or reducing porosity. The migration pathway of the fluids is marked by the SCRs, which are the outlines of highdensity bodies of chalk nested in highly porous chalks. This study, thus, provides new insights into the 3D relationship between fault systems, fluid migration and diagenesis in chalks and has important applications for basin modelling and reservoir characterization.---

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Section: Seismic Inversion Porositymentioning

confidence: 99%

Section: Seismic Inversion Porositymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Seismic geomorphology and origin of diagenetic geobodies in the Upper Cretaceous Chalk of the North Sea Basin (Danish Central Graben)

et al. 2018

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“…The non-linear inversion is constrained by applying the firstderivative to the spatial dimensions z, y and Laplacian in z to obtain a smooth solution. Cherrett et al [11] implement a geostatistical joint inversion that uses the geostatistical information combined with data constraints as a prior in a Bayesian inversion scheme.…”

Section: A Conventional Methodsmentioning

confidence: 99%

Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks

Dramsch

Christensen

MacBeth

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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We present a novel 3D warping technique for the estimation of 4D seismic time-shift. This unsupervised method provides a diffeomorphic 3D time shift field that includes uncertainties, therefore it does not need prior time-shift data to be trained. This results in a widely applicable method in timelapse seismic data analysis. We explore the generalization of the method to unseen data both in the same geological setting and in a different field, where the generalization error stays constant and within an acceptable range across test cases. We further explore upsampling of the warp field from a smaller network to decrease computational cost and see some deterioration of the warp field quality as a result.

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The occurrence of a palaeo‐lithification front in an overpressured basin (Chalk Group)—Timing from clumped isotopes and seismic stratigraphic analysis

et al. 2022

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Fast Deterministic Geostatistical Inversion

Cited by 7 publications

References 0 publications

Seismic geomorphology and origin of diagenetic geobodies in the Upper Cretaceous Chalk of the North Sea Basin (Danish Central Graben)

Seismic geomorphology and origin of diagenetic geobodies in the Upper Cretaceous Chalk of the North Sea Basin (Danish Central Graben)

Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks

The occurrence of a palaeo‐lithification front in an overpressured basin (Chalk Group)—Timing from clumped isotopes and seismic stratigraphic analysis

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