VELOCITY MODEL BUILDING OF COMPLEX STRUCTURE USING DEEP LEARNING: APPLICATION OF FINITE DIFFERENCE ALGORITHM IN FORWARD MODELING

MAJDI, AMIR MUSTAQIM (2021) VELOCITY MODEL BUILDING OF COMPLEX STRUCTURE USING DEEP LEARNING: APPLICATION OF FINITE DIFFERENCE ALGORITHM IN FORWARD MODELING. Masters thesis, Universiti Teknologi PETRONAS.

[thumbnail of AmirMustaqimBinMajdi_17008708.pdf]

PDF
AmirMustaqimBinMajdi_17008708.pdf
Restricted to Registered users only
Download (6MB)

Abstract

Velocity field is an essential parameter in seismic imaging process. It is derived
from the recorded seismic traveltime in velocity model building method such as normal
moveout (NMO) velocity analysis, traveltime tomography and full waveform inversion
(FWI)

Item Type:	Thesis (Masters)
Subjects:	Q Science > QE Geology
Departments / MOR / COE:	Geoscience and Petroleum Engineering
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	17 Feb 2022 02:32
Last Modified:	17 Feb 2022 02:32
URI:	http://utpedia.utp.edu.my/id/eprint/22600

Actions (login required)

: View Item