Computational Seismic Full Waveform Inversion

One of the primary challenges facing 3D exploration and monitoring seismic technology in the coming 5-10 years is to formulate, validate, and bring on-line the set of procedures known as seismic full waveform inversion (FWI) as applied in onshore (land data) reservoir environments. 
 
The main objective of this project is to develop a 3D field data FWI workflow for structural imaging in the presence of complex topography for land dataset. It targets to remove the presence of high nonlinearity propertiesintroduced by free-surface effects due to presence of complex surface topography. Currently, the modeling engine for 3D FWI  has been developed and hopeful we are able move to 3D FWI velocity model building applications in the presence of  rugged topography and address the challenges.

3D FWI on a land dataset in the presence of complex topography variations

Amsalu Anagaw

Article in professional or trade journals

Edge-Preserving FWI via Regularization by Denoising

Amsalu Anagaw

Conference Proceedings

Edge-Preserving FWI via Regularization by Denoising

Amsalu Anagaw

Article in professional or trade journals

Edge-preserving FWI via Regularization by Denoising

Amsalu Anagaw

Conference Proceedings

Ground roll attenuation via NMO-Stack deconvolution and transform-domain noise synthesis

Felix Oghenekohwo

Conference Proceedings

Ground roll attenuation via NMO-Stack deconvolution and transform-domain noise synthesis

Felix Oghenekohwo

Conference Proceedings

Model parametrization strategies for Newton-based acoustic full waveform inversion

Amsalu Anagaw

Article in professional or trade journals

Transform-domain noise synthesis and NMO-Stack deconvolution approach to ground roll attenuat

Felix Oghenekohwo

Article in professional or trade journals