Arshad, A.R.M. and Ghosh, D.P. and Latiff, A.H.A. (2018) Velocity estimation by joint migration inversion: An example from a field in the Malay Basin. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Standard seismic processing method of estimating velocity is to remove multiples. In this paper, we utilized multiples that contain valuable subsurface information. A line from a field in the Malay Basin were used to estimate an interval velocity using the Joint Migration Inversion (JMI) method. The motivation for this approach are 1) multiples increase illumination especially in the shallow shadow zones, 2) multiples provide an additional sensitity to velocity errors and 3) the velocity estimation process is automated. In the JMI method, seismic imaging is done in a closed-loop manner as opposed to the standard seismic processing open-loop method. The initial migrated seismic image is feedback to a forward modelling algorithm. This allows an iterative minimization of the difference between the simulated and the real measurements. This also enable velocity estimation to be carried-out simultaneously. The method was first applied on a synthetic data before an application to a real data set from the Malay Basin. The results obtained showed that multiples can be utilized to get an accurate velocity model while at the same time getting a better seismic image of the subsurface. © 2018, Offshore Technology Conference.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 1; Conference of Offshore Technology Conference Asia 2018, OTCA 2018 ; Conference Date: 20 March 2018 Through 23 March 2018; Conference Code:138192 |
Uncontrolled Keywords: | Iterative methods; Offshore oil well production; Offshore technology; Processing; Seismic prospecting; Seismic waves; Seismology, Forward modelling; Interval velocity; Open-loop method; Real measurements; Seismic imaging; Seismic processing; Subsurface information; Velocity estimation, Velocity |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:37 |
Last Modified: | 09 Nov 2023 16:37 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/10630 |