Reservoir modeling workflow of central luconia carbonate buildup

The purpose of this research project is to generate a carbonate modeling workflow fully integrating core, modern reef analogues and seismic attributes. Case study is the TX field in Central Luconia. Considering the lack of well log in this field, analogues will be used to spatially distribute the fa...

Full description

Saved in:
Bibliographic Details
Main Author: Ooi, P.C.
Format: Conference or Workshop Item
Published: European Association of Geoscientists and Engineers, EAGE 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062650107&doi=10.3997%2f2214-4609.201602411&partnerID=40&md5=8a2877940ab3fd468f3cbdc5e65d3c1b
http://eprints.utp.edu.my/30546/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.30546
record_format eprints
spelling my.utp.eprints.305462022-03-25T07:10:45Z Reservoir modeling workflow of central luconia carbonate buildup Ooi, P.C. The purpose of this research project is to generate a carbonate modeling workflow fully integrating core, modern reef analogues and seismic attributes. Case study is the TX field in Central Luconia. Considering the lack of well log in this field, analogues will be used to spatially distribute the facies. Remote sensing using satellite is applied to study the depo-environment on modern analogues. Conceptual models are first created based on the core (1D) and analogues (2D). Based on the conceptual model, several alternative modeling strategies will be explored to distribute rock types in 3D. To create a meaningful digital model, the algorithms used will be applied by layers/zones following the time where different facies are distributed. © 2016 EAGE. European Association of Geoscientists and Engineers, EAGE 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062650107&doi=10.3997%2f2214-4609.201602411&partnerID=40&md5=8a2877940ab3fd468f3cbdc5e65d3c1b Ooi, P.C. (2016) Reservoir modeling workflow of central luconia carbonate buildup. In: UNSPECIFIED. http://eprints.utp.edu.my/30546/
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/
description The purpose of this research project is to generate a carbonate modeling workflow fully integrating core, modern reef analogues and seismic attributes. Case study is the TX field in Central Luconia. Considering the lack of well log in this field, analogues will be used to spatially distribute the facies. Remote sensing using satellite is applied to study the depo-environment on modern analogues. Conceptual models are first created based on the core (1D) and analogues (2D). Based on the conceptual model, several alternative modeling strategies will be explored to distribute rock types in 3D. To create a meaningful digital model, the algorithms used will be applied by layers/zones following the time where different facies are distributed. © 2016 EAGE.
format Conference or Workshop Item
author Ooi, P.C.
spellingShingle Ooi, P.C.
Reservoir modeling workflow of central luconia carbonate buildup
author_facet Ooi, P.C.
author_sort Ooi, P.C.
title Reservoir modeling workflow of central luconia carbonate buildup
title_short Reservoir modeling workflow of central luconia carbonate buildup
title_full Reservoir modeling workflow of central luconia carbonate buildup
title_fullStr Reservoir modeling workflow of central luconia carbonate buildup
title_full_unstemmed Reservoir modeling workflow of central luconia carbonate buildup
title_sort reservoir modeling workflow of central luconia carbonate buildup
publisher European Association of Geoscientists and Engineers, EAGE
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062650107&doi=10.3997%2f2214-4609.201602411&partnerID=40&md5=8a2877940ab3fd468f3cbdc5e65d3c1b
http://eprints.utp.edu.my/30546/
_version_ 1738657122817671168
score 13.209306