Structurally coherent wide azimuth residual move out surfaces

Siliqi, R.; Talaalout, Abdelkrim

doi:10.1190/1.3255713

Cited by 8 publications

(8 citation statements)

References 7 publications

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“…We are able to build a velocity model using the picked information from any of these domains. The current standard in the industry is to pick structural dips and RMO curves (Hardy, 2003, Siliqi et al, 2007. The ideal picking tool for the non-linear slope tomography would allow us to pick the structural dips in each common offset volume consistently in all dimensions.…”

Section: Picking Locally Coherent Eventsmentioning

confidence: 99%

“…The multi-dip multidimensional picking proposed by Traonmillin et al (2009) offers this possibility with the additional advantage of discriminating crossing events with respect to plane wave destruction filters. For a similar purpose, Siliqi et al (2007) developed an RMO-consistent spatial filtering of high order parametric RMO curves. These tools have evolved to adapt to the WAZ configuration by taking into account azimuthal variations.…”

Section: Picking Locally Coherent Eventsmentioning

confidence: 99%

“…These tools have evolved to adapt to the WAZ configuration by taking into account azimuthal variations. Lecerf et al (2009) and Siliqi and Talaalout (2009) proposed the picking of parametric surfaces on WAZ CIGs (Figure 3).…”

Section: Picking Locally Coherent Eventsmentioning

confidence: 99%

“…Several types of non-linear tomography have been proposed amongst which figure non-linear slope tomography. This latter type is the most adapted to the task with its use of automated dense volumetric dip and RMO picking (Siliqi et al, 2007;Hardy, 2003), and the advantage of a highdensity resolution of the velocity model. Slope tomography considers locally coherent events characterized by their local position and slopes in the un-migrated domain (Lambaré, 2008).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Non-linear Slope Tomography – Extension to MAZ and WAZ

Montel¹,

Guillaume²,

Lambaré³

et al. 2010

72nd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2010

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Section: Picking Locally Coherent Eventsmentioning

confidence: 99%

Section: Picking Locally Coherent Eventsmentioning

confidence: 99%

Section: Picking Locally Coherent Eventsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Non-linear Slope Tomography – Extension to MAZ and WAZ

Montel¹,

Guillaume²,

Lambaré³

et al. 2010

72nd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2010

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“…Azimuthal residual move-out (RMO) can be extracted from these CIP gathers (Lecerf et al, 2009) to perform in turn migration velocity analysis. The mandatory structural information is computed using a robust 3D automatic picking of coherent events in the COVs after structurally consistent filtering (Traonmilin et al, 2008;Siliqi et al, 2009). WAZ non-linear slope tomography can then invert azimuthally varying WAZ RMO for updating either interval depth V int and ε fields (Guillaume et al, 2008) or effective time V eff and η eff fields (Lambaré et al, 2009).…”

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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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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