Multi-layer tomography and its application for improved depth imaging

Guillaume, P.; Hollingworth, S.; Zhang, Xiaoming; Prescott, A.; Jupp, Richard; Lambaré, Gilles; Pape, Owen

doi:10.1190/segam2012-0683.1

Cited by 15 publications

(11 citation statements)

References 5 publications

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“…The velocity model is updated using CGG's non-linear slope multi-layer tomography (TOMOML) method (Guillaume et al, 2012). This method is used to update several velocity layers in one go, it also preserves sharp velocity boundaries in the inversion process, thus producing more geologically plausible velocity models.…”

Section: Multi-layer Tomographymentioning

confidence: 99%

Multi-layer tomography in complex geology—Onshore case study in Oman

Rijzen¹,

Riyami²,

Balaguera³

et al. 2013

SEG Technical Program Expanded Abstracts 2013

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In this paper a case-study will be presented on a Land Wide Azimuth (WAZ)-PreSDM project, acquired in a relatively complex geological setting in North Oman. Most of the complexity results from a major fault system which runs over the whole area. In order to correctly take the velocity contrast across this fault system into account in depth imaging, a multi-layered tomography was carried out. Firstly we will give a brief description of the project workflow. Secondly, we will give examples illustrating the importance of reinterpreting horizons and faults preferably in depth. Finally, we will show how the final PreSDM improved upon the PreSTM.

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Section: Multi-layer Tomographymentioning

confidence: 99%

Multi-layer tomography in complex geology—Onshore case study in Oman

Rijzen¹,

Riyami²,

Balaguera³

et al. 2013

SEG Technical Program Expanded Abstracts 2013

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show abstract

“…In this case the layer-based anisotropic depth velocity model incorporating the near surface model has been updated by using an advanced multi-layer non-linear slope tomography that overcomes the limitations of the conventional approach (Guillaume et al, 2012). This new method uses a hybrid model description that accommodates grid cells or b-spline meshes for each model layer together with the layer horizons.…”

Section: Integration Of Seismic (Reflection and 3d Vsp) And Non-seismicmentioning

confidence: 99%

Processing and Preliminary Interpretation of the Ultra High-Density Full-Azimuth 3D Seismic Survey, Dukhan Field, Qatar

et al. 2014

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The Dukhan Field 3D seismic survey is an ultra high-density wide azimuth survey (i.e., point source and receiver, short source and receiver line interval, and full azimuth recording) intended to provide a significant uplift in quality and resolution to enable the imaging of reservoir sub-layers and fine-scale structural features. This paper presents the challenges and lessons learned from full-field processing and inversion. Seismic interpretation demonstrates added value to the field, which leads to improved reservoir models and support to well operations through improved well placement. Subtle structural, stratigraphic, and diagenetic features are now imaged.Knowledge gained from processing this survey includes: 1) cost, time, and effort invested on the Dukhan 3D survey is worthwhile as high quality results are obtained at 15m bin processing; 2) 3.75m bin processing is now possible, and could be performed to improve image quality over the full seismic bandwidth for all reservoir intervals; 3) Pre-Stack Depth Migration (PSDM) workflow is recommended for optimal offset and azimuth reconciliation and noise attenuation; 4) the adverse effect of near-surface geologic variability on seismic data quality can be improved by utilizing microgravity and resistivity (Vertical Electrical Sounding) techniques; and 5) proper preconditioning of the input data is critical for reliable prediction of reservoir properties away from well control.While industry's knowledge and experience in acquisition and field operation of ultra high-density full-azimuth seismic has increased over the last 3 years, processing of such data to ensure optimal imaging and reliable reservoir property predictions (e.g., porosity) has lagged. QP believes that lessons learned through this round of processing can provide insight for prediction of rock properties in the major Dukhan reservoirs.

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“…The dense kinematic information picked on PreSTM dataset, i.e. RMO on preconditioned gathers and dips measured on stack, is converted to kinematic invariants thanks to the kinematic de-migration (Lambaré et al, 2007) in order to get information in the un-migrated domain as required by our non-linear slope tomography (Lambaré et al, 2008). As shown in Figure 2, the updated RMS velocity field (B) yields good results on the whole volume (yellow arrows), except on some small areas where low velocities appear associated to interbed multiples just below the Base Tertiary.…”

Section: Time Velocity Model Buildingmentioning

confidence: 99%

“…New advanced tomography tools lead to many advantages for time and depth velocity model building in terms of flexibility and robustness. A large panel of tomography workflows have been already developed (Guillaume et al, 2008). From dip and residual move-out (RMO) picks in time or depth imaging domains, interval or effective quantities can be obtained by tomographic inversion.…”

Section: Introductionmentioning

confidence: 99%

“…From dip and residual move-out (RMO) picks in time or depth imaging domains, interval or effective quantities can be obtained by tomographic inversion. We introduce a new accurate method combining the benefits of an efficient time to depth workflow (Lambaré et al, 2007) and of multi-layer tomography (Guillaume et al, 2012). It improves depth velocity model building starting with time migrated data and reduces the turnaround time of a depth imaging project in a complex layered geology context.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Depth Velocity Model Building Starting with Well-Focused Time Migrated Data - A 3D North Sea Case Study

Vasseur¹,

Haan²,

Bader³

et al. 2013

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

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A new advanced tomographic toolbox provides a step change for time and depth velocity model building in terms of flexibility and robustness. We introduce a new accurate workflow combining benefits from time to depth workflow and multi-layer non-linear slope tomography for improving imaging quality and reducing the turnaround time of a depth imaging project when time migrated data are available. We present an offshore North Sea 3D case study which exhibits typical processing challenges such as interbed multiples removal, channel imaging issues and velocity model building in the presence of high velocity contrasts.

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Multi-layer tomography and its application for improved depth imaging

Cited by 15 publications

References 5 publications

Multi-layer tomography in complex geology—Onshore case study in Oman

Multi-layer tomography in complex geology—Onshore case study in Oman

Processing and Preliminary Interpretation of the Ultra High-Density Full-Azimuth 3D Seismic Survey, Dukhan Field, Qatar

Depth Velocity Model Building Starting with Well-Focused Time Migrated Data - A 3D North Sea Case Study

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