Seismic input optimisation for Joint Migration Inversion on complex structures, Malay Basin

Hairi, H.H. and Md Rafek, A.G. and Abdul Latiff, A.H. (2017) Seismic input optimisation for Joint Migration Inversion on complex structures, Malay Basin. IOP Conference Series: Earth and Environmental Science, 88 (1).

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

The field of seismic imaging has made a recent breakthrough in migration technique with the introduction of Joint Migration Inversion to aid the imaging process by incorporating multiple scattering into the algorithm. Initially, seismic multiples have been regarded as noise and should be removed prior to migration, but today these multiples could be used to enhance the final seismic images since they carry a vast percentage of energy that was generated from the source during acquisition phase. This new technique could be used to improve the final image of complex structures such as the steeply fractured basement reservoir in Anding Utara Field in Malay Basin. As of now, the efforts of improving the steeply-fractured basement image have been done without the incorporation of multiple scattering. Thus, the application of JMI might shed some light on the potential of this technique. Joint Migration Inversion make use of a Closed-Loop imaging process which means that less wave energy is wasted during processing making the final image more consistent with the input data. In conventional migration process, multiple scattering is removed thus vast amount of energy is wasted that leads to a poor final subsurface image. The two main elements in Joint Migration Inversion are Full-Wavefield Migration and Full-Wavefield Inversion. Apart from including seismic multiples in the imaging process, Joint Migration Inversion also allows the user to automatically update the velocity model of the area under investigation while maintaining very little user intervention. © Published under licence by IOP Publishing Ltd.

Item Type: Article
Impact Factor: cited By 0
Departments / MOR / COE: Division > Academic > Faculty of Geoscience & Petroleum Engineering > Geosciences Department
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 22 Apr 2018 13:16
Last Modified: 22 Apr 2018 13:16
URI: http://scholars.utp.edu.my/id/eprint/19915

Actions (login required)

View Item
View Item