Building Detailed Structurally Conformable Velocity Models with High Definition Tomography

Guillaume, P.; Lambar, G.; Sioni, S.; Zhang, X.; Prescott, A.; Carotti, D.; Dpr, P.; Frehers, Sven; Vosberg, H.

doi:10.3997/2214-4609.20148704

Cited by 7 publications

(5 citation statements)

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“…After dip and RMO picking, a first step of velocity model building was performed for time and depth using non-linear slope tomography (Guillaume et al, 2008;Depagne et al, 2012) as shown below (left image in Figure 4). A second step of velocity model building using high-definition tomography (Guillaume et al, 2012) resulted in an accurate high-resolution velocity model that conforms nicely to the structure (right in Figure 4). Up and Down gathers were migrated with the updated velocity model which produced CIGs with improved flattening (Figure 3).…”

Section: Brunei 2d Variable-depth Streamer Acquisition Real Data Casementioning

confidence: 97%

Velocity model building for variable-depth streamer data: Brunei case study

Gamar-Sadat

Michot

Soubaras

et al. 2013

SEG Technical Program Expanded Abstracts 2013

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The computation of velocity by tomography using Residual Move-Out (RMO) curves is widely used in the industry. The semblance-based, automatic dense picking of RMO has proved to be a very efficient technique for conventional data. However, in the case of variable-depth streamer acquisition, this technique is poorly adapted due to the presence of ghosts in the data. We present here a robust, automatic, high-order dense picking technique based on a cross-semblance criteria using the migrated and mirrormigrated common image gathers that eliminates the need for pre-stack deghosting prior to velocity update. This paper focuses on velocity model building using our method. It is applied to a complex 2D variable-depth streamer acquisition from Brunei, which is characterized by noisy data where faults and gas pockets coexist. We show that our method allows us to obtain an accurate velocity function conformable to structure that improves the focusing.

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Section: Brunei 2d Variable-depth Streamer Acquisition Real Data Casementioning

confidence: 97%

Velocity model building for variable-depth streamer data: Brunei case study

Gamar-Sadat

Michot

Soubaras

et al. 2013

SEG Technical Program Expanded Abstracts 2013

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“…A good initial model is important. The high definition tomography (Guillaume et al, 2012) and conventional low frequency FWI can be used to build the initial model for our approach.…”

Section: Applicationsmentioning

confidence: 99%

Full waveform inversion using preserved amplitude reverse time migration

Qin

Allemand

Lambaré

2015

SEG Technical Program Expanded Abstracts 2015

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A great deal of effort has been expended to improve the amplitude reliability of migration. The similarity of reverse time migration (RTM) to the gradient of full waveform inversion (FWI) indicates that preserved amplitude RTM can help improve FWI. We develop the theoretical derivation of an improved gradient for FWI based on common shot preserved amplitude RTM. We validate our approach on the Marmousi II model and the Chevron SEG 2014 dataset, showing that it significantly improves the convergence rate of FWI.

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“…The first one allows sharp, geologically-consistent, velocity contrasts in the velocity model (multi-layer non-linear slope tomography proposed by Guillaume et al (2013)), the second one uses dense volumetric picking (high definition tomography proposed by Guillaume et al (2012)). The introduction of sharp contrasts in the velocity model as well as the conversion of dense residual moveout information into a high-resolution structurally conformant velocity model greatly enhance the vertical resolution and the relevance of velocity for reservoir characterization.…”

Section: Filling the Mid-frequency Gap With Ray-based Tomographymentioning

confidence: 99%

Tomographic Velocities - Challenges and Applications

Vigée¹,

Bader²,

Bénédini³

et al. 2014

Proceedings

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SUMMARYThe resolution of seismic imaging has long been characterized by a mid-frequency gap between the long vertical wavelength components that can be inferred from travel-time tomography and the short vertical wavelength components that can be inferred from seismic migration. The progress in tomography and in broadband acquisition now allows this mid-wavelength gap to be filled and even results in the overlapping between the resolution obtained from velocity model building and from seismic migration. Recent progress in tomographic approaches now provides vertical resolution up to 6 Hz, with in addition, a precise localization of the velocity contrasts. With a case study we discuss their benefits for reservoir characterization, where the missing frequencies are traditionally coming from a model interpolated/ extrapolated from well log information. If the seismic inversion for reservoir characterization is not sensitive to the low-to-mid frequencies, this low-to-mid frequency modelling is critical for the estimation of absolute rock properties, and replacing a model extrapolated from sparse well information by actual measurements is of paramount importance.

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Building Detailed Structurally Conformable Velocity Models with High Definition Tomography

Cited by 7 publications

References 0 publications

Velocity model building for variable-depth streamer data: Brunei case study

Velocity model building for variable-depth streamer data: Brunei case study

Full waveform inversion using preserved amplitude reverse time migration

Tomographic Velocities - Challenges and Applications

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