Reducing uncertainties in hydrocarbon prediction through seismic inversion

• Main Authors: Imran, Q.S., Siddiqui, N.A., Latif, A.H.A., Bashir, Y., Saeed Ali, A.A.A., Jamil, M., Ahmad, N.
• Format: ["eprint_typename_conference\_item" not defined]
• Published: Institute of Physics 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129877346&doi=10.1088%2f1755-1315%2f1003%2f1%2f012002&partnerID=40&md5=a9047fd690a0a40f0f7318eaff02f1c9; http://eprints.utp.edu.my/33699/

Petroleum systems in offshore are often very complex and subtle because of variety of depositional environments. Delineating a reservoir based on conventional seismic and well-log stratigraphic analysis in such complex settings often leads to uncertainties. A reliable model of reservoir can forecast...