Frequency bandwidth enhancement using 3D layered reflectivity inversion

Walia, Rick; Sandanayake, N. Chaminda; Koop, Michael J.; Williamson, Andrew; Michel, Karin

doi:10.1190/1.1851174

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…been recast as geostatistical stochastic AVA inversions to evolve toward automation of the processing and more rigorous model appraisal (Ma, 2002;Hicks and Williamson, 2003;Veeken and Silva, 2004;Walia et al, 2004;Escobar et al, 2006). Unlike stratigraphic inversion used in reservoir characterization, the AVA analysis is directly embedded in the depth migration process in our approach and the stochastic inversion is applied to the depth-migrated image in the poststack domain.…”

Section: R24mentioning

confidence: 99%

Joint ray + Born least-squares migration and simulated annealing optimization for target-oriented quantitative seismic imaging

et al. 2011

View full text Add to dashboard Cite

A seismic processing workflow based on iterative ray þ Born migration/inversion and target-oriented postprocessing of the migrated image is developed for fine-scale quantitative characterization of reflectors. The first step of the workflow involves linear iterations of the ray þ Born migration/inversion. The output of the first step is a true-amplitude migrated image parameterized by velocity perturbations. In a second step, postprocessing of the migrated image is performed through a random search with a very-fast simulated annealing (VFSA) algorithm. The forward problem of the global optimization is a simple convolutional model that linearly relates a vertical profile of the band-limited migrated image after depth-to-time conversion to a 1D velocity model composed of a stack of homogeneous layers of arbitrary velocity and thickness. The aim of the postprocessing is to eliminate the limited bandwidth effects of the source from the migrated image for resolution improvement and enhanced geological interpretation of selected targets. The global optimization approach allows for uncertainty analysis required by the intrinsic nonuniqueness of the velocity model output by the postprocessing. The relevance of the convolutional model when applied to the output of the ray þ Born migrated inversion is first illustrated with a one-layer model. The accuracy and the robustness of the workflow to image geologically complicated models are then illustrated with an application to the synthetic Marmousi model. Some practical issues (e.g., the source wavelet estimate and the scaling of the migrated image required by the VFSA optimization) are discussed with an application to a 2D real seismic multichannel reflection data set collected in the Gulf of Guayaquil (Ecuador). The postprocessing is applied to derive the fine-scale velocity structure of a décollement zone on top of the subduction channel. The postprocessing allows for mapping structural variations along different segments of the décollement, which can be associated with changes in fluid content and porosity.

show abstract

Section: R24mentioning

confidence: 99%

Joint ray + Born least-squares migration and simulated annealing optimization for target-oriented quantitative seismic imaging

et al. 2011

View full text Add to dashboard Cite

show abstract

Appendix D : Bibliography

2020

Illustrated Seismic Processing Volume 2: Preimaging

View full text Add to dashboard Cite

Using the wavelet transform for seismic wave impedance inversion

Fu,

Yin,

Chen

et al. 2024

GEOPHYSICS

View full text Add to dashboard Cite

Model-based inversion technology has become one of the necessary technologies in the seismic exploration industry. It is frequently used to estimate many subsurface attributes, i.e., velocity, impedance, attenuation, etc. It is important to note that the accuracy of model-based inversion relies on the precision of the initial model, which suffers from insufficiency of low frequency information in seismic data. Enhancing the high-frequency content and accuracy of low frequencies in the initial model can improve solution accuracy. Conventional initial models fail to adequately represent the high frequency details of lateral geological variations and to capture low-frequency components accurately. We propose a wavelet transform solution for this problem. Initially, we demonstrate that seismic records approximate the wavelet transform of logarithmic impedance. Consequently, we use the wavelet inverse transform to reconstruct the mid and high-frequency information of seismic impedance, highlighting the detailed spatial variations. Furthermore, we apply Kriging interpolation, based on subspace interpolation principles, using well impedance and seismic record waveforms to derive the low-frequency impedance from the scale inverse transform. Wavelet transform theory ensures a perfect match between the low- and high-frequency components in the inversion result. The frequency components of the inversion result are balanced, with no deficiencies or redundancies within the seismic datas high cut-off frequency band. Thus, our method of initial model building is a kind of inversion method. Additionally, this method is simple and efficient because fast convolution processing can be performed. Model experiments and practical data inversions confirm the methods feasibility and its ability to enhance resolution.

show abstract

Frequency bandwidth enhancement using 3D layered reflectivity inversion

Cited by 3 publications

References 5 publications

Joint ray + Born least-squares migration and simulated annealing optimization for target-oriented quantitative seismic imaging

Joint ray + Born least-squares migration and simulated annealing optimization for target-oriented quantitative seismic imaging

Appendix D : Bibliography

Using the wavelet transform for seismic wave impedance inversion

Contact Info

Product

Resources

About