Seismic imaging with multi-layer tomography

Guillaume, P.; Montel, J.; Hollingworth, S.; Zhang, X.; Prescott, A.; Reinier, M.; Jupp, Richard; Lambaré, Gilles; Pape, Owen; Cavalié, A.

doi:10.3997/1365-2397.30.10.63234

Cited by 11 publications

References 6 publications

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Kinematics of common-image gathers — Part 2: Tomographic ray tracing and applications

Montel

Lambaré

2019

GEOPHYSICS

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Tomographic ray tracing is the critical step in ray-based tomographic approaches when we need to represent as precisely as possible the wavepaths of the migration. To be able to update velocities from picked information in the migrated domain, one must be able to back propagate the misfocusing information (e.g., the residual moveout [RMO]) into the model through the tracing of tomographic rays. The complex kinematics associated with some types of migration, ray based or not, will give us RMO curvatures that will be impossible to explain with traditional tomographic ray-tracing methods. We have evaluated a generic method for tracing these rays by fitting constraints unique to each migration approach. We found that, on synthetic and real data, using the correct set of equations in the tomographic ray-tracing engine can make a significant difference in the velocity model update.

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Kinematics of common-image gathers — Part 2: Tomographic ray tracing and applications

Montel

Lambaré

2019

GEOPHYSICS

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Eikonal-equation-based characteristic reflection traveltime tomography

Zhang,

Dong,

Wang

et al. 2023

GEOPHYSICS

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Automatically picking reflection traveltimes from the pre-stack shot gathers and positioning and updating the reflector depths during inversion are challenging in conventional Eikonal-equation-based adjoint state reflection traveltime tomography methods. To solve these problems, we propose an Eikonal-equation-based adjoint state characteristic reflection traveltime tomography (ASCRT) method. This method automatically extracts the reflection traveltimes by sequentially applying characteristic reflector picking in the depth migration section, Eikonal-equation-based traveltime calculation, and an event tracking algorithm. We also develop an efficient Eikonal-equation-based kinematic imaging method to rapidly position and update the reflector depths. With the proposed ASCRT method, the characteristic reflector positions and the velocity above the reflector are alternately updated. The proposed ASCRT method is performed with a layer-stripping strategy that sequentially uses selected characteristic reflectors to update the velocity model from shallow to deep. Compared to the wave-equation-based reflection traveltime inversion methods, the efficiency of the ASCRT method is improved by several orders of magnitude, and the memory consumption is remarkably reduced. Synthetic and field data examples are presented to show the effectiveness and efficiency of the proposed method.

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Reducing drilling risk using advanced depth imaging: A land case study

Hermant¹,

Maamari²,

Hassan³

et al. 2017

Interpretation

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Accurately positioning wells with respect to faults is critical. This is especially true for appraisal or development wells. Depending on the reservoir structure, wells may need to be as close as feasibly possible to faults. In such situations, the imaging and positioning of the faults are the key success factors and they rely heavily on the quality of the seismic imaging and interpretation. We found out how advanced depth imaging on a land data set leads to reduced drilling risk by improving the lateral positioning of the faults. We will use a real example of a well that was positioned using a legacy narrow-azimuth data set image and unexpectedly reached a fault. We will explain how using full-azimuth data and updating the depth-velocity model produces a prestack depth-migrated (PreSDM) image that gives a more accurate interpretation of the fault. A postmortem analysis of the well indicates that using interpreted horizons and faults from the new PreSDM volume provided a correct fit with the well data. We evaluated some examples of full-waveform inversion results on the same data set, which may lead to near-future improvements in the resolution of the depth-velocity model and the corresponding migrated image.

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Seismic imaging with multi-layer tomography

Cited by 11 publications

References 6 publications

Kinematics of common-image gathers — Part 2: Tomographic ray tracing and applications

Kinematics of common-image gathers — Part 2: Tomographic ray tracing and applications

Eikonal-equation-based characteristic reflection traveltime tomography

Reducing drilling risk using advanced depth imaging: A land case study

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