TY - GEN
T1 - High-resolution seismic velocity inversion and imaging of the shallow-subsurface using a combined jmi/fwi workflow
AU - Chapeland, C.
PY - 2022
Y1 - 2022
N2 - Full waveform inversion (FWI) is a popular high-resolution velocity estimation technique which is distinctively hindered when applied to the shallow-subsurface due to the high level of noise, complex structures,\elastic effects as well as the often lacking low frequencies in the dataset. In this abstract we propose a to use a data-driven, reflection based inversion technique (Joint-Migration Inversion (JMI)) to create a starting model for FWI which pushes the inversion out of a local minimum to recover previously hidden structures. The research is applied to a 2D acoustic model and compares the results of using three different types of starting model, including one generated using JMI.
AB - Full waveform inversion (FWI) is a popular high-resolution velocity estimation technique which is distinctively hindered when applied to the shallow-subsurface due to the high level of noise, complex structures,\elastic effects as well as the often lacking low frequencies in the dataset. In this abstract we propose a to use a data-driven, reflection based inversion technique (Joint-Migration Inversion (JMI)) to create a starting model for FWI which pushes the inversion out of a local minimum to recover previously hidden structures. The research is applied to a 2D acoustic model and compares the results of using three different types of starting model, including one generated using JMI.
UR - http://www.scopus.com/inward/record.url?scp=85142641764&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.202210826
DO - 10.3997/2214-4609.202210826
M3 - Conference contribution
AN - SCOPUS:85142641764
T3 - 83rd EAGE Conference and Exhibition 2022
SP - 3029
EP - 3033
BT - 83rd EAGE Conference and Exhibition 2022
PB - EAGE
T2 - 83rd EAGE Conference and Exhibition 2022
Y2 - 6 June 2022 through 9 June 2022
ER -