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Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach

An Integrated Asset Modelling for reservoir X is presented and the results were compared to the individual model. A sensitivity study was conducted to identify the most critical and sensitive geological, reservoir, production technology and facilities parameters towards hydrocarbon prediction. The i...

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Main Authors: Ahmad Shukri, Mohd. Razmi Ziqri, Jaafar, Mohd. Zaidi, Zainal, Mohamed Zamrud, Abu Husain, Mohd. Khairi
Format: Conference or Workshop Item
Published: 2023
Subjects:
Q Science (General)
TP Chemical technology
Online Access:http://eprints.utm.my/108235/
http://dx.doi.org/10.1007/978-981-19-1939-8_35
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spelling my.utm.1082352024-10-22T07:47:31Z http://eprints.utm.my/108235/ Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach Ahmad Shukri, Mohd. Razmi Ziqri Jaafar, Mohd. Zaidi Zainal, Mohamed Zamrud Abu Husain, Mohd. Khairi Q Science (General) TP Chemical technology An Integrated Asset Modelling for reservoir X is presented and the results were compared to the individual model. A sensitivity study was conducted to identify the most critical and sensitive geological, reservoir, production technology and facilities parameters towards hydrocarbon prediction. The individual model construction for REVEAL reservoir model, PROSPER well model, GAP network model and RESOLVE platform. This base case integrated model was used for hydrocarbon prediction including cumulative oil production and hydrocarbon recovery. The results of the sensitivity analysis are shown using a tornado chart and spider plot. Complete governing equations and the method is described in detail to permit readers to replicate all results. For the sensitivity analysis, ten parameters were selected from geological, reservoir, wells and facilities input parameters. It can be concluded that the Integrated Asset Modelling giving the similar results with the individual model and the topmost sensitive parameters are Initial Oil Column and Net To Gross (NTG) which are 70% and 30% increment respectively. The novelty of the integrated asset modelling approach is in the ability to combine reservoir, well and network models to predict the critical parameters affecting hydrocarbon volumetric prediction. 2023 Conference or Workshop Item PeerReviewed Ahmad Shukri, Mohd. Razmi Ziqri and Jaafar, Mohd. Zaidi and Zainal, Mohamed Zamrud and Abu Husain, Mohd. Khairi (2023) Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach. In: 7th International Conference on Production, Energy and Reliability, ICPER 2020, 14 July 2020 - 16 July 2020, Kuching, Sarawak, Malaysia. http://dx.doi.org/10.1007/978-981-19-1939-8_35
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
TP Chemical technology
spellingShingle Q Science (General)
TP Chemical technology
Ahmad Shukri, Mohd. Razmi Ziqri
Jaafar, Mohd. Zaidi
Zainal, Mohamed Zamrud
Abu Husain, Mohd. Khairi
Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach
description An Integrated Asset Modelling for reservoir X is presented and the results were compared to the individual model. A sensitivity study was conducted to identify the most critical and sensitive geological, reservoir, production technology and facilities parameters towards hydrocarbon prediction. The individual model construction for REVEAL reservoir model, PROSPER well model, GAP network model and RESOLVE platform. This base case integrated model was used for hydrocarbon prediction including cumulative oil production and hydrocarbon recovery. The results of the sensitivity analysis are shown using a tornado chart and spider plot. Complete governing equations and the method is described in detail to permit readers to replicate all results. For the sensitivity analysis, ten parameters were selected from geological, reservoir, wells and facilities input parameters. It can be concluded that the Integrated Asset Modelling giving the similar results with the individual model and the topmost sensitive parameters are Initial Oil Column and Net To Gross (NTG) which are 70% and 30% increment respectively. The novelty of the integrated asset modelling approach is in the ability to combine reservoir, well and network models to predict the critical parameters affecting hydrocarbon volumetric prediction.
format Conference or Workshop Item
author Ahmad Shukri, Mohd. Razmi Ziqri
Jaafar, Mohd. Zaidi
Zainal, Mohamed Zamrud
Abu Husain, Mohd. Khairi
author_facet Ahmad Shukri, Mohd. Razmi Ziqri
Jaafar, Mohd. Zaidi
Zainal, Mohamed Zamrud
Abu Husain, Mohd. Khairi
author_sort Ahmad Shukri, Mohd. Razmi Ziqri
title Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach
title_short Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach
title_full Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach
title_fullStr Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach
title_full_unstemmed Improved hydrocarbon recovery volume estimation model using integrated asset modelling (IAM) approach
title_sort improved hydrocarbon recovery volume estimation model using integrated asset modelling (iam) approach
publishDate 2023
url http://eprints.utm.my/108235/
http://dx.doi.org/10.1007/978-981-19-1939-8_35
_version_ 1814043633868865536
score 13.211869

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