Non-linear Slope Tomography – Extension to MAZ and WAZ

Montel, J.; Guillaume, P.; Lambaré, Gilles; Leblanc, O.

doi:10.3997/2214-4609.201401159

Cited by 8 publications

(10 citation statements)

References 11 publications

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“…An example of the depth tomography result is given in Figure 3; the RMO histogram before inversion denotes too low velocities with a large amount of negative RMO values (predicted RMO at maximum offset). The "facets" correspond to the re-migrated invariants in the initial and final models; each facet is defined by its X, Y and Z position, its structural dip and RMO derivatives to offset X and offset Y (dip Hx and dip Hy , in Montel et al (2010)). In the final model, the RMO histogram is centred and narrowed, and the migrated facets, now focused, nicely follow the anticline structure.…”

Section: Time and Depth Tomography And Imaging Resultsmentioning

confidence: 99%

“…Resolution of non-linear aspects provides the best possible update of the velocity model from a given picking. We use here the extension of the method to WAZ data (Montel et al, 2010) coupled with a dense WAZ RMO picking (Lecerf et al, 2009). Note that picking of locally coherent events can be done indifferently in the depth or timemigrated domains or even in the un-migrated domain (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Can we correct for azimuthal variations of residual move‐out in land WAZ context, using depth non‐linear slope tomography? An imaging case history

Montel

Zimine

Lambaré

et al. 2010

SEG Technical Program Expanded Abstracts 2010

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High-density wide azimuth (WAZ) land surface acquisitions have demonstrated superior imaging capabilities. Apart from the traditional poor signal-to-noise ratio of land data we face a new challenge: the necessity of reconciling the kinematics of the various azimuths. In this paper, we present an imaging case history involving WAZ non-linear slope tomography. Using surface information (kinematic invariants), velocity model updates are performed both in depth and time. We chose to start from an initial pre-stack time migrated (PreSTM) dataset. After applying a structurally consistent filtering to improve the S/N ratio on stacked data, we used a dense automated tool for dip picking. In parallel residual move-out (RMO) was computed on all azimuths simultaneously. Our case study demonstrates that WAZ non-linear slope tomography in the depth domain greatly improves the imaging of the structures when compared to the initial PreSTM result. We observe that even if tomography in the time domain significantly enhances imaging, it cannot successfully honour the kinematics of the various azimuths within the constraints of time imaging assumptions. On the contrary, WAZ non-linear slope tomography in the depth domain offers an efficient way to reconcile these kinematics, thus promoting the use of depth imaging when processing high-density WAZ data, even in the context of mild geological complexity.

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Section: Time and Depth Tomography And Imaging Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Can we correct for azimuthal variations of residual move‐out in land WAZ context, using depth non‐linear slope tomography? An imaging case history

Montel

Zimine

Lambaré

et al. 2010

SEG Technical Program Expanded Abstracts 2010

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show abstract

“…The TTI velocity model is built with a nonlinear high-definition joint tomography algorithm (Guillaume et al, 2012) taking into account simultaneously picks of the two datasets (Montel et al, 2010). By using the two azimuths, the velocity and TTI anisotropy models are better constrained and allows us to increase the velocity model resolution.…”

Section: Real Data Bi-azimuthal Imaging Of the Lula Fieldmentioning

confidence: 99%

Multi-Azimuth Imaging for Deep-Water Pre-Salt Reservoirs in Santos Basin, Brasil

D'Afonseca¹,

Lecerf²,

Souza³

et al. 2013

London 2013, 75th Eage Conference en Exhibition Incorporating SPE Europec

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“…On Figure 5 are displayed the stacks of the different azimuth sectors (CBM stack of gathers from Figure 4). The stacks show the illumination variations in the sub-surface with the azimuth, described as wave path redundancy and complementary information between the different azimuths (Montel et al, 2010) beneficiating to MAZ tomography.…”

Section: Maz Move Out Analysis On Migrated Gathersmentioning

confidence: 99%

“…We update the velocity model using non-linear slope tomography (Guillaume et al, 2001(Guillaume et al, , 2008 and its extension to MAZ datasets (Montel et al, 2010). The use of locally coherent events is adapted to dense volumetric picking.…”

Section: Maz Rmo Picking For Non-linear Tomographymentioning

confidence: 99%

Extending MAZ PSDM velocity model building to land context using controlled beam migration, a case study

Hermant

Gruffeille

Zimine

et al. 2010

SEG Technical Program Expanded Abstracts 2010

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3D marine and land dense wide-azimuth (WAZ) and multiazimuth (MAZ) acquisition and processing has taken off in the industry with the associated development of specific tools for WAZ/MAZ processing. For land data, wideazimuth information actually exists since the early 3D acquisition as land data is wide-azimuth by nature. However and unless we talk about recent dense land acquisition with short distance between source and receiver lines and very high density of receivers and source points, land data is usually limited by its trace density and its noise content. By gathering different techniques such as Common Offset Vector (COV), Controlled Beam Migration (CBM) and MAZ tomography, we present in this paper a workflow allowing the use of recent WAZ processing tools in land context without requirements of high trace density and the benefits of using such sequence on the data quality.

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Non-linear Slope Tomography – Extension to MAZ and WAZ

Cited by 8 publications

References 11 publications

Can we correct for azimuthal variations of residual move‐out in land WAZ context, using depth non‐linear slope tomography? An imaging case history

Can we correct for azimuthal variations of residual move‐out in land WAZ context, using depth non‐linear slope tomography? An imaging case history

Multi-Azimuth Imaging for Deep-Water Pre-Salt Reservoirs in Santos Basin, Brasil

Extending MAZ PSDM velocity model building to land context using controlled beam migration, a case study

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