| Phase: |
Theme |
| Theme: | Heavy Oil - In-Situ (T07) |
| Status: | Active |
| Start Date: | 2018-04-01 |
| End Date: | 2020-03-31 |
Project Overview
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.
Outputs
| Title |
Category |
Date |
Authors |
| 3D FWI on a land dataset in the presence of complex topography variations University of Alberta | Publication | 2019-04-28 | Amsalu Anagaw, Sacchi, M. |
| Edge-Preserving FWI via Regularization by Denoising University of Alberta | Publication | 2019-04-28 | Amsalu Anagaw, Sacchi, M. |
| Model parametrization strategies for Newton-based acoustic full waveform inversion University of Alberta | Publication | 2019-04-28 | Amsalu Anagaw, Sacchi, M. |
| Transform-domain noise synthesis and NMO-Stack deconvolution approach to ground roll attenuat University of Alberta | Publication | 2019-04-28 | Felix Oghenekohwo, Sacchi, M. |
| Edge-preserving FWI via Regularization by DenoisingInvited conference paper at SIAM 2019 Mathematical and Computational Issues in Geoscience. We presented Total Variation regularization methods for solving the Full Waveform Inversion Problem in models with high-velocity contrast. University of Alberta | Publication | 2019-04-22 | Amsalu Anagaw, Sacchi, M. |
| Edge-Preserving FWI via Regularization by DenoisingEdge-Preserving FWI via Regularization by Denoising: Discuss the applicability of recently developed technique called Regularization via denoising to solve the Full Waveform inversion problem. This is to recover subsurface elastic parameters from seismic wavefields. University of Alberta | Publication | 2019-04-22 | Amsalu Anagaw, Sacchi, M. |
| Ground roll attenuation via NMO-Stack deconvolution and transform-domain noise synthesis University of Alberta | Publication | 2019-04-28 | Felix Oghenekohwo, Sacchi, M. |
| Ground roll attenuation via NMO-Stack deconvolution and transform-domain noise synthesis University of Alberta | Publication | 2019-04-28 | Felix Oghenekohwo, Sacchi, M. |
