TY - GEN
T1 - Adaptation of the fwm algorithm to cloud computing
AU - Davydenko, M.
AU - Verschuur, E.
PY - 2021
Y1 - 2021
N2 - The Full Wavefield Migration (FWM) algorithm has some additional features comparing to conventional least-squares imaging. It requires to store wavefields from previous iterations to take into account multiple scattering. We revise this approach and propose to recompute the wavefields instead of keeping them in the memory. It allows us to reduce the memory requirements and makes the algorithm more fault-tolerant and suitable for distributed computing. We apply the modified algorithm use the modified code on one of the public cloud providers.
AB - The Full Wavefield Migration (FWM) algorithm has some additional features comparing to conventional least-squares imaging. It requires to store wavefields from previous iterations to take into account multiple scattering. We revise this approach and propose to recompute the wavefields instead of keeping them in the memory. It allows us to reduce the memory requirements and makes the algorithm more fault-tolerant and suitable for distributed computing. We apply the modified algorithm use the modified code on one of the public cloud providers.
UR - http://www.scopus.com/inward/record.url?scp=85127828301&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.202112906
DO - 10.3997/2214-4609.202112906
M3 - Conference contribution
AN - SCOPUS:85127828301
T3 - 82nd EAGE Conference and Exhibition 2021
SP - 4373
EP - 4377
BT - 82nd EAGE Conference and Exhibition 2021
PB - EAGE
T2 - 82nd EAGE Conference and Exhibition 2021
Y2 - 18 October 2021 through 21 October 2021
ER -