Paper submitted to APGCE 2026, by O. Korsmo, R. Collings, A. Pankov, N. Pernin, J. Kumar (TGS), R. Alai, A.R. Ghazali, M.H. Pua, I. Supardy, M.R. Sarif (PETRONAS Carigali Sdn. Bhd.)
Introduction
In this study, we make use of an OBN dataset from offshore Malaysia to build an elastic velocity model for the underlying streamer data with elastic Dynamic Matching (DM) FWI (Mao et al., 2020 and Liu et al., 2024). The streamer dataset was acquired and processed few years ago and was primarily used for the FWI model validation (image domain QC). Furthermore, we explore FWM, leveraging all orders of multiples, with the raw wavefieldseparated data to increase the sub-surface illumination compared to conventional mirror migration with the downgoing wavefields. The OBN data was acquired with 135 nodes, separated 100x300 [m] combined with two different source vessels; an air gun with 50x50 [m] shot sampling and a low frequency Tuned Pulse Source (TPS) with 100x100 [m] shot sampling.