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Production forecast for niger delta oil rim synthetic reservoirs

The data sets in this article are related to a Placket Burman (PB) design of experiment (DOE) made on a wider range of uncertainties such as: reservoir, operational and reservoir architecture parameters that affect oil rim productivities. The design was based on a 2 level PB-DOE to create oil rim mo...

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Autores principales: Olabode, Oluwasanmi A., Egeonu, Gerald I., Temiloluwa, Ojo I., Tomiwa, Oguntade, Oreofeoluwa, Bamigboye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141438/
https://www.ncbi.nlm.nih.gov/pubmed/30229097
http://dx.doi.org/10.1016/j.dib.2018.06.115
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author Olabode, Oluwasanmi A.
Egeonu, Gerald I.
Temiloluwa, Ojo I.
Tomiwa, Oguntade
Oreofeoluwa, Bamigboye
author_facet Olabode, Oluwasanmi A.
Egeonu, Gerald I.
Temiloluwa, Ojo I.
Tomiwa, Oguntade
Oreofeoluwa, Bamigboye
author_sort Olabode, Oluwasanmi A.
collection PubMed
description The data sets in this article are related to a Placket Burman (PB) design of experiment (DOE) made on a wider range of uncertainties such as: reservoir, operational and reservoir architecture parameters that affect oil rim productivities. The design was based on a 2 level PB-DOE to create oil rim models which were developed into reservoir models using the Eclipse software and configured under the best depletion strategy of concurrent oil and gas production. Approximate solutions to the models was developed to forecast oil production using the least square method. The Monte-Carlo simulation approach was used in estimating 3 production forecasts for the oil rim reservoirs. This will help to create a probabilistic variety of forecasts that can further be used in making decisions.
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spelling pubmed-61414382018-09-18 Production forecast for niger delta oil rim synthetic reservoirs Olabode, Oluwasanmi A. Egeonu, Gerald I. Temiloluwa, Ojo I. Tomiwa, Oguntade Oreofeoluwa, Bamigboye Data Brief Engineering The data sets in this article are related to a Placket Burman (PB) design of experiment (DOE) made on a wider range of uncertainties such as: reservoir, operational and reservoir architecture parameters that affect oil rim productivities. The design was based on a 2 level PB-DOE to create oil rim models which were developed into reservoir models using the Eclipse software and configured under the best depletion strategy of concurrent oil and gas production. Approximate solutions to the models was developed to forecast oil production using the least square method. The Monte-Carlo simulation approach was used in estimating 3 production forecasts for the oil rim reservoirs. This will help to create a probabilistic variety of forecasts that can further be used in making decisions. Elsevier 2018-07-04 /pmc/articles/PMC6141438/ /pubmed/30229097 http://dx.doi.org/10.1016/j.dib.2018.06.115 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Olabode, Oluwasanmi A.
Egeonu, Gerald I.
Temiloluwa, Ojo I.
Tomiwa, Oguntade
Oreofeoluwa, Bamigboye
Production forecast for niger delta oil rim synthetic reservoirs
title Production forecast for niger delta oil rim synthetic reservoirs
title_full Production forecast for niger delta oil rim synthetic reservoirs
title_fullStr Production forecast for niger delta oil rim synthetic reservoirs
title_full_unstemmed Production forecast for niger delta oil rim synthetic reservoirs
title_short Production forecast for niger delta oil rim synthetic reservoirs
title_sort production forecast for niger delta oil rim synthetic reservoirs
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141438/
https://www.ncbi.nlm.nih.gov/pubmed/30229097
http://dx.doi.org/10.1016/j.dib.2018.06.115
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