relation: https://khub.utp.edu.my/scholars/8218/
title: Characterizing Geological Facies using Seismic Waveform Classification in Sarawak Basin
creator: Zahraa, A.
creator: Zailani, A.
creator: Ghosh, D.P.
description: Numerous effort have been made to build relationship between geology and geophysics using different techniques throughout the years. The integration of these two most important data in oil and gas industry can be used to reduce uncertainty in exploration and production especially for reservoir productivity enhancement and stratigraphic identification. This paper is focusing on seismic waveform classification to different classes using neural network and to link them according to the geological facies which are established using the knowledge on lithology and log motif of well data. Seismic inversion is used as the input for the neural network to act as the direct lithology indicator reducing dependency on well calibration. The interpretation of seismic facies classification map provides a better understanding towards the lithology distribution, depositional environment and help to identify significant reservoir rock. © Published under licence by IOP Publishing Ltd.
publisher: Institute of Physics Publishing
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Zahraa, A. and Zailani, A. and Ghosh, D.P.  (2017) Characterizing Geological Facies using Seismic Waveform Classification in Sarawak Basin.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033220465&doi=10.1088%2f1755-1315%2f88%2f1%2f012001&partnerID=40&md5=25dfc7cd35727e1be4c157ca84ef72fa
relation: 10.1088/1755-1315/88/1/012001
identifier: 10.1088/1755-1315/88/1/012001