Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network

Maman Hermana, DP Ghosh, CW Sum, AMA Salim, . (2016) Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network. Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network.

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Official URL: https://www.onepetro.org/conference-paper/IPTC-186...

Abstract

This paper proposes a new workflow for reservoir properties prediction including
water saturation, volume of shale/net to gross and porosity based on new attrinbutes as
input for the Probalistic Neural Netrwotk (PNN) method. The data set used in this study is
acquered from east Malaysia offshore consisting 3 wells data and 2D seismic parsial stack;
near, mid and far stack data.

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Departments / MOR / COE:	Departments > Geoscience & Petroleum Engineering
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	01 Jun 2017 02:20
Last Modified:	01 Jun 2017 02:20
URI:	http://scholars.utp.edu.my/id/eprint/12199

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