Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network
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...
Saved in:
Main Author: | |
---|---|
Format: | Article |
Published: |
2016
|
Subjects: | |
Online Access: | https://www.onepetro.org/conference-paper/IPTC-18698-MS http://eprints.utp.edu.my/12199/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Petronas |
id |
my.utp.eprints.12199 |
---|---|
record_format |
eprints |
spelling |
my.utp.eprints.121992017-06-01T02:20:20Z Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network Maman Hermana, DP Ghosh, CW Sum, AMA Salim, . T Technology (General) 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. 2016-11 Article PeerReviewed https://www.onepetro.org/conference-paper/IPTC-18698-MS 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 . http://eprints.utp.edu.my/12199/ |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Institutional Repository |
url_provider |
http://eprints.utp.edu.my/ |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Maman Hermana, DP Ghosh, CW Sum, AMA Salim, . Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network |
description |
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. |
format |
Article |
author |
Maman Hermana, DP Ghosh, CW Sum, AMA Salim, . |
author_facet |
Maman Hermana, DP Ghosh, CW Sum, AMA Salim, . |
author_sort |
Maman Hermana, DP Ghosh, CW Sum, AMA Salim, . |
title |
Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network |
title_short |
Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network |
title_full |
Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network |
title_fullStr |
Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network |
title_full_unstemmed |
Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network |
title_sort |
implementation of new seismic attributes to improve reservoir properties prediction using probability neural network |
publishDate |
2016 |
url |
https://www.onepetro.org/conference-paper/IPTC-18698-MS http://eprints.utp.edu.my/12199/ |
_version_ |
1738656021482569728 |