Inversion for source wavelet and AVA parameters from prestack seismic data

Routh, Partha S.; Anno, Phil D.; Baumel, Robert T.; Chavarria, J. Andres

doi:10.1190/1.1818028

Cited by 5 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the first category, non-smooth regularization operators such as Lp norm (Oldenburg et. al, 1983;Sacchi and Liu, 2005;Farquharson and Oldenburg, 1998;Routh et. al., 2003), total variation regularization (Bertere-Aguirre et.…”

Section: Introductionmentioning

confidence: 99%

Inversion for non‐smooth models with physical bounds

Routh

Sen

et al. 2007

SEG Technical Program Expanded Abstracts 2007

Self Cite

View full text Add to dashboard Cite

SummaryGeological processes produce structures at multiple scales. A discontinuity in the subsurface can occur due to layering, tectonic activities such as faulting, folding and fractures. Traditional approaches to invert geophysical data employ smoothness constraints. Such methods produce smooth models and thefore sharp contrasts in the medium such as lithological boundaries are not easily discernible. The methods that are able to produce non-smooth models, can help interpret the geological discontinuity. In this paper we examine various approaches to obtain non-smooth models from a finite set of noisy data. Broadly they can be categorized into approaches: (1) imposing non-smooth regularization in the inverse problem and (2) solve the inverse problem in a domain that provides multi-scale resolution, such as wavelet domain. In addition to applying non-smooth constraints, we further constrain the inverse problem to obtain models within prescribed physical bounds. The optimization with non-smooth regularization and physical bounds is solved using an interior point method. We demonstrate the applicability and usefulness of these methods with realistic synthetic examples and provide a field example from crosswell radar data.

show abstract

Section: Introductionmentioning

confidence: 99%

Inversion for non‐smooth models with physical bounds

Routh

Sen

et al. 2007

SEG Technical Program Expanded Abstracts 2007

Self Cite

View full text Add to dashboard Cite

show abstract

Improving lateral and vertical resolution of seismic images by correcting for wavelet stretch in common-angle migration

Pérez

Marfurt

2007

GEOPHYSICS

View full text Add to dashboard Cite

Long-offset or high-incident-angle seismic reflections provide us with improved velocity resolution, better leverage against multiples, less contamination by ground roll, and information that is often critical when estimating lithology and fluid product. Unfortunately, high-incident-angle seismic reflections suffer not only from nonhyperbolic moveout but also from wavelet stretch during imaging, resulting in lower-resolution images that mix the response from adjacent lithologies. For an arbitrary acoustic medium, wavelet stretch from prestack migration depends only on the cosine of the reflection angle, such that the amount of wavelet stretch will be the same for all samples of a common-reflection-angle migrated trace. Thus, we are able to implement a wavelet stretch correction by applying a simple stationary spectral shaping operation to common-angle migrated traces. We obtain such traces directly by a prestack Kirchhoff migration algorithm. Correcting for stretch effectively increases the fold of imaged data, far beyond that achieved in conventional migration, resulting in improved signal-to-noise ratio of the final stacked section. Increasing the fidelity of large incident angles results in images with improved vertical and lateral resolution and with increased angular illumination, valuable for amplitude variation with angle (AVA) and amplitude variation with offset (AVO) analysis. Finally, such large-angle images are more sensitive to and therefore provide increased leverage over errors in velocity and velocity anisotropy. These ideas were applied to prestack time migration on seismic data from the Fort Worth basin, in Texas.

show abstract

A new 4D workflow for legacy seismic data

Annor

Routh

2007

SEG Technical Program Expanded Abstracts 2007

View full text Add to dashboard Cite

Inversion for source wavelet and AVA parameters from prestack seismic data

Cited by 5 publications

References 5 publications

Inversion for non‐smooth models with physical bounds

Inversion for non‐smooth models with physical bounds

Improving lateral and vertical resolution of seismic images by correcting for wavelet stretch in common-angle migration

A new 4D workflow for legacy seismic data

Contact Info

Product

Resources

About