Integrated velocity model estimation for accurate imaging

Krebs, Jerry; Bear, Lorie K.; Liu, Jonathan

doi:10.1190/1.1817744

Cited by 13 publications

(4 citation statements)

References 2 publications

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“…The Bayesian inversion allows the introduction of different type of data and a priori information, the associated uncertainties being modelled by probability distributions (see Tarantola 2005, for a detailed description of this approach). In practice, a classical least‐squares formulation (assuming Gaussian probability densities) is used: penalty terms modelling a priori information are generally added to the seismic terms in the objective function with a delicate adjustment of the penalty weights (see Daalen et al 2004; Krebs et al 2004, among the most recent papers on tomography in oil industry).…”

Section: Introductionmentioning

confidence: 99%

Constrained optimization in seismic reflection tomography: a Gauss-Newton augmented Lagrangian approach

Delbos¹,

Gilbert

Glowinski

et al. 2006

Geophysical Journal International

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S U M M A R YSeismic reflection tomography is a method for determining a subsurface velocity model from the traveltimes of seismic waves reflecting on geological interfaces. From an optimization viewpoint, the problem consists in minimizing a non-linear least-squares function measuring the mismatch between observed traveltimes and those calculated by ray tracing in this model. The introduction of a priori information on the model is crucial to reduce the under-determination. The contribution of this paper is to introduce a technique able to take into account geological a priori information in the reflection tomography problem expressed as inequality constraints in the optimization problem. This technique is based on a Gauss-Newton (GN) sequential quadratic programming approach. At each GN step, a solution to a convex quadratic optimization problem subject to linear constraints is computed thanks to an augmented Lagrangian algorithm. Our choice for this optimization method is motivated and its original aspects are described. First applications on real data sets are presented to illustrate the potential of the approach in practical use of reflection tomography.

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Section: Introductionmentioning

confidence: 99%

Constrained optimization in seismic reflection tomography: a Gauss-Newton augmented Lagrangian approach

Delbos¹,

Gilbert

Glowinski

et al. 2006

Geophysical Journal International

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“…e initial velocity model is one of the important factors affecting the migration correction quality [11]. Krebs et al integrated various sources of subsurface velocity information, such as surface seismic reflections [12], surface seismic direct arrivals, well data, and prior geologic information, to estimate the velocity model. Sala et al presented a velocity building scheme using information from borehole and laboratory data [13].…”

Section: Automatic Initial Model Establishment With Geologicalmentioning

confidence: 99%

Automatic Approach for Fast Processing and Data Analysis of Seismic Ahead-Prospecting Method: A Case Study in Yunnan, China

Zhou

Sun²,

et al. 2020

Mathematical Problems in Engineering

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The seismic ahead-prospecting method is useful to detect anomalous zones in front of the tunnel face. However, most existing seismic detection method is designed for drilling and blasting tunnel. The detection method should be improved to satisfy the rapid tunneling of Tunnel Boring Machines (TBMs). This study focuses on reducing the time spent on seismic data processing and result analysis. Therefore, to reduce the data processing time, an automatic initial model establishment method based on surrounding rock grade is proposed. To reduce the time spent on result analysis and avoid subjective judgment, a modified k-means++ method is adopted to interpret the detecting results and extracting anomalous zones. The efficacy of the developed method is demonstrated by field tests. The fractured zones such as cavity collapse and fissure are successfully predicted and identified.

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“…Therefore several borehole seismic data sets were available in addition to the surface data to constraint the estimation of the anisotropic parameters. ExxonMobil provided SEP with three anisotropicparameter cubes resulting from a joint inversion of the surface data and the borehole data (Krebs et al, 2003). Figure 9 shows the vertical slices cut through these cubes at the cross-line location corresponding to the 2-D line that I migrated.…”

Section: Gulf Of Mexico Data Examplementioning

confidence: 99%

“…They demonstrate the effectiveness of their method by successfully applying it to a West Africa data set (Sarkar and Tsvankin, 2004a). Krebs et al (2003) and Bear et al (2003) integrate borehole-seismic data and nonseismic information in an MVA process based on Kirchhoff migration.…”

Section: Introductionmentioning

confidence: 99%

Residual moveout in anisotropic angle‐domain common‐image gathers with dipping reflectors

Jousselin

Biondi

2006

SEG Technical Program Expanded Abstracts 2006

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To enable the analysis of the Residual Moveout (RMO) in Angle-Domain Common Image Gathers (ADCIGs) after anisotropic wavefield-continuation migration, I develop the fundamental concepts for quantitatively relating perturbations in anisotropic parameters to the corresponding reflector movements in ADCIGs. I then apply the general methodology to the particular case of RMO analysis of reflections from flat reflectors in a Vertical Transverse Isotropic (VTI) medium. This analysis shows that the RMO in migrated AD-CIGs is a function of both the phase aperture angle and the group aperture angle. Several numerical examples demonstrate the accuracy of the RMO curves predicted by my kinematic analysis. The synthetic examples also show that the approximation of the group angles by the phase angles may lead to substantial errors for events reflected at wide aperture angles. The results obtained by migrating a 2-D line extracted from a Gulf of Mexico 3-D data set confirm the accuracy of the proposed method. The RMO curves predicted by the theory exactly match the RMO function observed in the ADCIGs computed from the real data.

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Integrated velocity model estimation for accurate imaging

Cited by 13 publications

References 2 publications

Constrained optimization in seismic reflection tomography: a Gauss-Newton augmented Lagrangian approach

Constrained optimization in seismic reflection tomography: a Gauss-Newton augmented Lagrangian approach

Automatic Approach for Fast Processing and Data Analysis of Seismic Ahead-Prospecting Method: A Case Study in Yunnan, China

Residual moveout in anisotropic angle‐domain common‐image gathers with dipping reflectors

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