Modeling of “dirty salt”

Haugen, J.A.; Arntsen, Børge; Mispel, J.

doi:10.1190/1.3059308

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…This requires the definition of both external and internal salt geometries (Haugen et al, 2009). In recent years, external salt geometry (i.e., boundaries between allochthonous salt and background sediment) has improved due to advances in acquisition, velocity model building, and migration algorithms Yu, 2009, Bowling et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Dirty salt velocity inversion: The road to a clearer subsalt image

Ji¹,

Huang²,

Fu³

et al. 2011

GEOPHYSICS

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For deep-water Gulf of Mexico, accurate salt geometry is critical to subsalt imaging. This requires the definition of both external and internal salt geometries. In recent years, external salt geometry (i.e., boundaries between allochthonous salt and background sediment) has improved a great deal due to advances in acquisition, velocity model building, and migration algorithms. But when it comes to defining internal salt geometry (i.e., intrasalt inclusions or dirty salt), no efficient method has yet been developed. In common industry practices, intrasalt inclusions (and thus their velocity anomalies) are generally ignored during the model building stages. However, as external salt geometries reach higher levels of accuracy, it becomes more important to consider the once-ignored effects of dirty salt. We have developed a reflectivity-based approach for dirty salt velocity inversion. This method takes true-amplitude reverse time migration stack volumes as input, then estimates the dirty salt velocity based on reflectivity under a 1D assumption. Results from a 2D synthetic data set and a real 3D Wide Azimuth data set demonstrated that the reflectivity inversion scheme significantly improves the subsalt image for certain areas. In general, we believe that this method produces a better salt model than the traditional clean salt velocity approach.

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Section: Introductionmentioning

confidence: 99%

Dirty salt velocity inversion: The road to a clearer subsalt image

Ji¹,

Huang²,

Fu³

et al. 2011

GEOPHYSICS

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“…Only homogeneous salt bodies were analyzed. We refer the reader interested in salt inclusions to Haugen et al (2008), Schoemann et al (2010), Huang et al (2010), and references therein. For the experiments with top salt rugosity, the rugosity was generated using the cosine function…”

Section: Methodsmentioning

confidence: 99%

On the Impact of Incorrect Top-salt Interpretations on RTM

Klochikhina¹,

Ramírez²,

Yarman³

et al. 2011

73rd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2011

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We present a modeling study for reverse-time migration (RTM) imaging for different interpretations of the top salt boundary. The top salt is represented either as a rough surface or as a plane with a single anomaly resembling a syncline or an anticline. The focus of our analysis is the coherency and illumination of the underlying flat reflectors, given the true model and a set of perturbations from the true model. The perturbations are aimed at representing interpretations of the top salt boundary. One of our main findings is that an RTM image using the correct top salt model, but shifting it horizontally, diminishes the illumination and continuity of the underlying reflectors more than using a flat reflector. The RTM image of a syncline anomaly using an incorrect interpretation resembles an anticline, which can considerably affect the top salt picking and further refinements in its interpretation. In the models studied, we also find that changes in the vertical amplitude of the anomaly or of the roughness are more forgiving than changes in the width of the anomaly or in the frequency or the rugosity.

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“…Current seismic data leaves large uncertainties in the interpretation of the shape and size of the salt body. Amongst other reasons high-velocity sediments surrounding the salt structure, multiples and internal salt structure diffractions make it difficult to define base of salt (Haugen et al, 2008).…”

Section: The Uranus Salt Diapirmentioning

confidence: 99%

A Broadband Marine CSEM Demonstration Survey to Map the Uranus Salt Structure

Vöge¹,

Pfaffhuber²,

Hokstad³

et al. 2010

72nd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2010

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To apply a broad spectrum of signal frequencies for a marine electromagnetic survey (0.01 Hz to 500 Hz) is a unique way for detailed mapping of geology in conjunction to hydrocarbon exploration. We present results from a demonstration research survey over the Uranus salt structure (Nordkapp Basin, Barents Sea) involving purpose built broadband receiver systems containing electric and magnetic field sensors as well as four component seismometers. EM data interpretation in tight combination with seismic models indicates a deep salt body rather than the shallow diapir interpreted from seismic alone. The deep salt body was confirmed by an exploration well. The positive results of this proof of concept survey triggered numerous commercial surveys with similar configurations.

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Modeling of “dirty salt”

Cited by 8 publications

References 4 publications

Dirty salt velocity inversion: The road to a clearer subsalt image

Dirty salt velocity inversion: The road to a clearer subsalt image

On the Impact of Incorrect Top-salt Interpretations on RTM

A Broadband Marine CSEM Demonstration Survey to Map the Uranus Salt Structure

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