Abstract
Joint migration inversion (JMI) is a recently developed technology that aims at incorporating the seismic velocity model update and acoustic migration, including all multiple scatterings, into one closed-loop process. Full waveform inversion (FWI) is a commonly accepted technology for velocity model building, and reverse-time migration (RTM) is the main method adopted for depth imaging. In this paper we first use a 2D realistic deep water model to benchmark JMI against a workflow of FWI combined with RTM. With some insights on JMI gained from this comparison study, we point out that a good niche for JMI is to provide a high quality initial velocity model. We further demonstrate the performance of JMI on a 2D deep water field dataset with an initial velocity model derived from migration velocity analysis (MVA).
| Original language | English |
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| Title of host publication | International Petroleum Technology Conference 2019, IPTC 2019 |
| Editors | Mahmoud M. Abdulbaqi , Adif Zulkifli |
| Publisher | International Petroleum Technology Conference (IPTC) |
| Pages | 5 |
| ISBN (Electronic) | 9781613996195 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | International Petroleum Technology Conference 2019, IPTC 2019 - Beijing, China Duration: 26 Mar 2019 → 28 Mar 2019 |
Conference
| Conference | International Petroleum Technology Conference 2019, IPTC 2019 |
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| Country/Territory | China |
| City | Beijing |
| Period | 26/03/19 → 28/03/19 |