Understanding subsalt illumination through ray-trace modeling, Part 3: Salt ridges and furrows, and the impact of acquisition orientation

Muerdter, David R.; Ratcliff, Davis W.

doi:10.1190/1.1487289

Cited by 31 publications

(8 citation statements)

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“…2000; Muerdter et al . 2001; Muerdter and Ratcliff 2001a,b), to the one‐way wave equation method (Wu and Chen 2002, 2006; Xie et al . 2003, 2004, 2006), and then the two‐way wave equation (Xie and Yang 2008; Yang et al .…”

Section: Methodsmentioning

confidence: 99%

Angle‐domain imaging of relative impedance perturbation

Liu

Chen

et al. 2020

Geophysical Prospecting

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Impedance is a physical parameter that plays an important role in seismic data processing and interpretation. A relative impedance perturbation (the ratio of the impedance perturbation and the impedance for the background models) imaging method in depth domain based on the reflection wave equation is proposed. Under the small perturbation assumption, primary wave and high‐frequency approximation condition, a linear propagation equation of the primary reflection waves based on the relative impedance perturbation was first derived. On this basis, we further derived the imaging formula of the relative impedance perturbation using a linear inversion theory. Then, the source–receiver bidirectional illumination compensation was used to improve the image quality of the subsurface structures. The image result obtained by this method can be used to estimate the relative impedance perturbation. In the angle domain, the extracted near‐angle‐domain image gather with amplitude compensation can estimate the relative impedance perturbation, and the far‐angle image gather provides the estimation of the relative velocity perturbation (the ratio of the velocity perturbation and the background velocity). Finally, several numerical tests demonstrate the effectiveness of the method.

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Section: Methodsmentioning

confidence: 99%

Angle‐domain imaging of relative impedance perturbation

Liu

Chen

et al. 2020

Geophysical Prospecting

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“…For the subsalt zone, the situation is often different. The salt bodies can cause seismic energy scattering and severe wavefront distortions leading to subsalt illumination problems (Muerdter et al, 2001a(Muerdter et al, , 2001b(Muerdter et al, , 2001c. In addition, the range of reflected angles at the subsalt reflectors is very limited due to the large salt-sediment velocity contrast.…”

Section: Velocity Modelingmentioning

confidence: 99%

Geophysical basin modeling: Methodology and application in deepwater Gulf of Mexico

Szydlik¹,

Helgesen

Brevik

et al. 2015

Interpretation

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A truly integrated velocity model building method has been developed and applied for seismic imaging. Geophysical basin modeling is designed to mitigate seismic data limitations and constrains the velocity model building by taking advantage of information provided by geologic and geophysical input. The information from geologic concepts and understanding is quantified using basin model simulations to model primary control fields for rock properties, temperature, and effective stress. Transformation of the basin model fields to velocity is made by universally calibrated rock models. Applications show that high-quality seismic images are produced in areas of geologic complexity, where it is challenging to define these properties from seismic data alone. This multidisciplinary operation is of high value in exploration because it offers a significant reduction in the time and effort required to build a velocity model, while also improving the resulting image quality.

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“…For FWI, these criteria are not necessarily sufficient, because they do not take into account any model effects that may have a high impact on the illumination and, thus, on the optimal acquisition geometry, especially in the presence of complex subsurface structures. Those effects can be considered by computing the ray paths and analysing, for instance, the common reflection point coverage (Slawson et al ., 1994; Muerdter and Ratcliff, 2001). For FWI, this can still be insufficient, because finite‐frequency effects are neglected when using the ray approximation.…”

Section: Introductionmentioning

confidence: 99%

Optimized experimental design for seismic full waveform inversion: A computationally efficient method including a flexible implementation of acquisition costs

Krampe

Edme

Maurer

2020

Geophysical Prospecting

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Optimized experimental design aims at reducing the cost of a seismic survey by identifying the optimal locations and amounts of sources and receivers. While the acquisition design in the context of seismic imaging applies criteria like fold, offset and spatial sampling, different attributes such as the sensitivity kernels are more relevant for seismic full waveform inversion. An ideal measure to quantify the goodness of an acquisition design relies on the eigenvalue spectrum of the approximate Hessian matrix, but this technique is computationally too expensive for practical use. A more affordable goodness measure has been proposed in the past, but we demonstrate that this measure is inappropriate for target-oriented optimized experimental design. To address those issues, we derived a sequential receiver-based procedure using a goodness measure based on the determinant of the approximate Hessian matrix. We show with numerical tests that it efficiently provides an optimized design for target-oriented as well as for extensive full waveform inversion. This design allows a better reconstruction of the subsurface than an evenly spaced acquisition geometry. Furthermore, the optimization algorithm itself can easily be parallelized, therefore making it attractive for applications to large-scale three-dimensional surveys. In addition, our algorithm is able to incorporate variable costs, representing any kind of acquisition-related costs, for every individual source location. The combined optimization with respect to the information content of sources and to the true cost will allow a more comprehensive and realistic survey planning and has a high potential for further applications.

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Understanding subsalt illumination through ray-trace modeling, Part 3: Salt ridges and furrows, and the impact of acquisition orientation

Cited by 31 publications

References 0 publications

Angle‐domain imaging of relative impedance perturbation

Angle‐domain imaging of relative impedance perturbation

Geophysical basin modeling: Methodology and application in deepwater Gulf of Mexico

Optimized experimental design for seismic full waveform inversion: A computationally efficient method including a flexible implementation of acquisition costs

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