Joint imaging of geophysical data: Case history from the Nordkapp Basin, Barents Sea

Hokstad, Ketil; Fotland, B.; Mackenzie, G. D.; Antonsdottir, Vaka; Foss, S. K.; Stadtler, Christopher; Fichler, Christine; Haverl, M.; Waagan, Bärbel Monika Traub; Myrlund, Eva Andrea; Raya, Pierre Yves; Ceci, F.; Masnaghetti, L.

doi:10.1190/1.3627395

Cited by 16 publications

(12 citation statements)

References 6 publications

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“…Joint display of seismics, EM (Hokstad et al ., , ), and gravity along the EM line over the Uranus diapir (Fig. ).…”

Section: Resultsmentioning

confidence: 99%

“…EM lines crossing many of the diapirs have been acquired in 2007 in addition to two previous lines in the Southern Nordkapp Basin. The survey design has been optimized for acquisition of both magnetotelluric (MT) and controlled source electromagnetic (CSEM) data (Hokstad et al ., ; ).…”

Section: Geophysical Datamentioning

confidence: 97%

“…Furthermore, strong diffractions occur due to plough marks from icebergs at the seafloor as well as from the rugged and undulating top salt and internal structures within the salt (Haugen et al ., ; Hokstad et al . ; ).…”

Section: Introductionmentioning

confidence: 97%

“…This included controlled‐source electromagnetic (CSEM) and magneto‐telluric (MT) data (Hokstad et al . ; ) and, addressed in this study, high resolution potential field data with marine gravity full‐tensor gradiometry and high resolution aero‐magnetometry. Furthermore, magnetic susceptibility measurements on sedimentary well cores have been performed (Lauritsen et al ., ).…”

Section: Introductionmentioning

confidence: 99%

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Improved salt imaging in a basin context by high resolution potential field data: Nordkapp Basin, Barents Sea

Stadtler

Fichler

Hokstad

et al. 2014

Geophysical Prospecting

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The seismic imaging of salt diapirs in the Nordkapp Basin gave rise to considerable problems in defining their shape and volume. Independent information was added by integrating the interpretation with high resolution gravity and magnetic data. We developed a novel, iterative workflow, separated into sub‐categories: sediments, salt structures, basement and Moho. Distinctions between the sources of the anomalies from different depths was achieved by utilizing the different decay characteristics of gravity, gravity gradiometry and high resolution magnetic anomalies. The workflow was applied to the southern part of the Nordkapp Basin. It started with the sedimentary model derived from seismics, populated with measured densities and magnetic susceptibilities and a starting model for the base salt. The residual after the removal of this model was interpreted in terms of a crustal model, including flexural isostatic calculations for the Moho with the sedimentary load. The residual after the removal of crustal and early sedimentary model was used to tune the salt model. As these major and minor modelling steps depend on each other, an iterative process was applied to stepwise improve the density and magnetic susceptibility model. The first vertical gradient of gravity and the magnetic field were found to give most information about the cap rock of the diapirs. The improvement in salt imaging, integrated with results from controlled‐source electromagnetic and magneto‐telluric modelling is shown for the salt diapir Uranus, where a well, terminated in the salt, constrains the minimum of the depth to base salt.

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“…Joint display of seismics, EM (Hokstad et al ., , ), and gravity along the EM line over the Uranus diapir (Fig. ).…”

Section: Resultsmentioning

confidence: 99%

Section: Geophysical Datamentioning

confidence: 97%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Improved salt imaging in a basin context by high resolution potential field data: Nordkapp Basin, Barents Sea

Stadtler

Fichler

Hokstad

et al. 2014

Geophysical Prospecting

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“…In this case, the focus of the study is on the Santos Basin, offshore Brazil, and to which extent integrating seismic, magnetotelluric, gravity and magnetic data can help to constrain the geometry of salt and carbonate units. Salt structures in particular are difficult to image with traditional seismic reflection methods due to the steep flanks of the structures and internal scattering of the seismic energy (e.g., Key et al 2006;Hokstad et al 2011).…”

Section: Joint Inversion With Structural Constraintsmentioning

confidence: 99%

Integrating Electromagnetic Data with Other Geophysical Observations for Enhanced Imaging of the Earth: A Tutorial and Review

Moorkamp

2017

Surv Geophys

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In this review, I discuss the basic principles of joint inversion and constrained inversion approaches and show a few instructive examples of applications of these approaches in the literature. Starting with some basic definitions of the terms joint inversion and constrained inversion, I use a simple three-layered model as a tutorial example that demonstrates the general properties of joint inversion with different coupling methods. In particular, I investigate to which extent combining different geophysical methods can restrict the set of acceptable models and under which circumstances the results can be biased. Some ideas on how to identify such biased results and how negative results can be interpreted conclude the tutorial part. The case studies in the second part have been selected to highlight specific issues such as choosing an appropriate parameter relationship to couple seismic and electromagnetic data and demonstrate the most commonly used approaches, e.g., the cross-gradient constraint and direct parameter coupling. Throughout the discussion, I try to identify topics for future work. Overall, it appears that integrating electromagnetic data with other observations has reached a level of maturity and is starting to move away from fundamental proof-of-concept studies to answering questions about the structure of the subsurface. With a wide selection of coupling methods suited to different geological scenarios, integrated approaches can be applied on all scales and have the potential to deliver new answers to important geological questions.

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Joint Inversion in Hydrocarbon Exploration

Moorkamp¹,

Heincke²,

Jegen³

et al. 2016

Geophysical Monograph Series

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Joint imaging of geophysical data: Case history from the Nordkapp Basin, Barents Sea

Cited by 16 publications

References 6 publications

Improved salt imaging in a basin context by high resolution potential field data: Nordkapp Basin, Barents Sea

Improved salt imaging in a basin context by high resolution potential field data: Nordkapp Basin, Barents Sea

Integrating Electromagnetic Data with Other Geophysical Observations for Enhanced Imaging of the Earth: A Tutorial and Review

Joint Inversion in Hydrocarbon Exploration

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