TY - GEN
T1 - A full waveform inversion scheme for automated salt velocity model building
AU - Dzulkefli, F. S.
AU - Kalita, Mahesh
AU - Xin, K.
AU - Alkhalifah, Tariq Ali
AU - Ghazali, A. R.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2020/6/14
Y1 - 2020/6/14
N2 - In area with the presence of complex large salt bodies results in a much more complicated and highly nonlinear inversion problem where we have multiple local minima with the possibility of having an ill-pose FWI problem. Current method typically pick the top salt, flood it and pick the bottom salt and include the manually developed salt in the initial velocity model. It requires a clear contrast boundary between the salt and the background sediments. This is not only time consuming but the manual interpretation is vulnerable to errors especially the bottom of the salt. An automatic velocity model building is a better alternative to manual interpretation and horizon picking. By applying FWI in two stages of model regularization namely, FWI+TV and flooding, we successfully implemented an automated velocity model building for salt body on SEAM 3D salt model. FWI+TV act as a penalty function to control the variation in the model while preserving the edges of the salt body and flooding smear the high velocity below the top of the salt across the region where there is a drop in the velocity with depth. The proposed method is more robust and less time consuming compared to the standard 'migrate-pick-flood' approach.
AB - In area with the presence of complex large salt bodies results in a much more complicated and highly nonlinear inversion problem where we have multiple local minima with the possibility of having an ill-pose FWI problem. Current method typically pick the top salt, flood it and pick the bottom salt and include the manually developed salt in the initial velocity model. It requires a clear contrast boundary between the salt and the background sediments. This is not only time consuming but the manual interpretation is vulnerable to errors especially the bottom of the salt. An automatic velocity model building is a better alternative to manual interpretation and horizon picking. By applying FWI in two stages of model regularization namely, FWI+TV and flooding, we successfully implemented an automated velocity model building for salt body on SEAM 3D salt model. FWI+TV act as a penalty function to control the variation in the model while preserving the edges of the salt body and flooding smear the high velocity below the top of the salt across the region where there is a drop in the velocity with depth. The proposed method is more robust and less time consuming compared to the standard 'migrate-pick-flood' approach.
UR - http://hdl.handle.net/10754/664461
UR - https://www.earthdoc.org/content/papers/10.3997/2214-4609.201903401
UR - http://www.scopus.com/inward/record.url?scp=85087334280&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.201903401
DO - 10.3997/2214-4609.201903401
M3 - Conference contribution
BT - APGCE 2019
PB - European Association of Geoscientists & Engineers
ER -