Decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization
Abstract This paper presents the development of a method to provide decision support in the feasibility studies and concept planning phases of oil and gas field development. The objective in developing the methodology was to provide an easy-to-use facility to integrate the production-governing eleme...
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crspringernat:10.1007/s13202-019-00817-z 2023-05-15T15:39:12+02:00 Decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization González, Diana Stanko, Milan Hoffmann, Arnaud SUBPRO SFI 2019 http://dx.doi.org/10.1007/s13202-019-00817-z https://link.springer.com/content/pdf/10.1007/s13202-019-00817-z.pdf https://link.springer.com/article/10.1007/s13202-019-00817-z/fulltext.html en eng Springer Science and Business Media LLC https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Journal of Petroleum Exploration and Production Technology volume 10, issue 4, page 1473-1495 ISSN 2190-0558 2190-0566 General Energy Geotechnical Engineering and Engineering Geology journal-article 2019 crspringernat https://doi.org/10.1007/s13202-019-00817-z 2022-01-04T10:11:17Z Abstract This paper presents the development of a method to provide decision support in the feasibility studies and concept planning phases of oil and gas field development. The objective in developing the methodology was to provide an easy-to-use facility to integrate the production-governing elements of oil and gas fields that capture the integrated production and economic performance of the system. This in a modular and scalable manner includes numerical optimization and uncertainty analyses needed to support engineering decisions. The method follows a series of steps that allow determining the optimal field production profile, drilling schedule, type of offshore structure, pressure support method and selection of artificial lift. The first step consists of creating efficient (low running time) proxy models of the production performance of the field and the costs figures associated with the project. The proxy model of the production performance is based on curves of maximum production rates versus cumulative production and contains all relevant field design features and computation of the most relevant performance indicators to consider in the evaluation. The proxy model to estimate the costs associated with the project is based on linear equations function of production rates and number of wells. The second step is to perform numerical optimization to find optimal production profile and drilling schedule that maximize the net present value of the specific development strategies considered. For the last step, an evaluation of the effect of uncertainties on the results of the numerical optimization using probabilistic methods is performed. The method was applied in a synthetic production system based on public data of Wisting field (currently under development). The field is a remote low-energy oil reservoir located in the Barents Sea. Nine strategies, obtained from the combination of three recovery support methods and three processing facilities, were compared using the net present value as decision factor. The best strategy consists of using a tension leg platform as processing facility and multiphase boosting plus water injection as recovery support method. This strategy generated the highest production and required the lowest costs, resulting in the highest profitability. It was demonstrated that the methodology successfully finds optimal field design features while quantifying the effect of uncertainties. Article in Journal/Newspaper Barents Sea Springer Nature (via Crossref) Barents Sea Journal of Petroleum Exploration and Production Technology 10 4 1473 1495 |
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Springer Nature (via Crossref) |
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English |
topic |
General Energy Geotechnical Engineering and Engineering Geology |
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General Energy Geotechnical Engineering and Engineering Geology González, Diana Stanko, Milan Hoffmann, Arnaud Decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization |
topic_facet |
General Energy Geotechnical Engineering and Engineering Geology |
description |
Abstract This paper presents the development of a method to provide decision support in the feasibility studies and concept planning phases of oil and gas field development. The objective in developing the methodology was to provide an easy-to-use facility to integrate the production-governing elements of oil and gas fields that capture the integrated production and economic performance of the system. This in a modular and scalable manner includes numerical optimization and uncertainty analyses needed to support engineering decisions. The method follows a series of steps that allow determining the optimal field production profile, drilling schedule, type of offshore structure, pressure support method and selection of artificial lift. The first step consists of creating efficient (low running time) proxy models of the production performance of the field and the costs figures associated with the project. The proxy model of the production performance is based on curves of maximum production rates versus cumulative production and contains all relevant field design features and computation of the most relevant performance indicators to consider in the evaluation. The proxy model to estimate the costs associated with the project is based on linear equations function of production rates and number of wells. The second step is to perform numerical optimization to find optimal production profile and drilling schedule that maximize the net present value of the specific development strategies considered. For the last step, an evaluation of the effect of uncertainties on the results of the numerical optimization using probabilistic methods is performed. The method was applied in a synthetic production system based on public data of Wisting field (currently under development). The field is a remote low-energy oil reservoir located in the Barents Sea. Nine strategies, obtained from the combination of three recovery support methods and three processing facilities, were compared using the net present value as decision factor. The best strategy consists of using a tension leg platform as processing facility and multiphase boosting plus water injection as recovery support method. This strategy generated the highest production and required the lowest costs, resulting in the highest profitability. It was demonstrated that the methodology successfully finds optimal field design features while quantifying the effect of uncertainties. |
author2 |
SUBPRO SFI |
format |
Article in Journal/Newspaper |
author |
González, Diana Stanko, Milan Hoffmann, Arnaud |
author_facet |
González, Diana Stanko, Milan Hoffmann, Arnaud |
author_sort |
González, Diana |
title |
Decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization |
title_short |
Decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization |
title_full |
Decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization |
title_fullStr |
Decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization |
title_full_unstemmed |
Decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization |
title_sort |
decision support method for early-phase design of offshore hydrocarbon fields using model-based optimization |
publisher |
Springer Science and Business Media LLC |
publishDate |
2019 |
url |
http://dx.doi.org/10.1007/s13202-019-00817-z https://link.springer.com/content/pdf/10.1007/s13202-019-00817-z.pdf https://link.springer.com/article/10.1007/s13202-019-00817-z/fulltext.html |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
Journal of Petroleum Exploration and Production Technology volume 10, issue 4, page 1473-1495 ISSN 2190-0558 2190-0566 |
op_rights |
https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1007/s13202-019-00817-z |
container_title |
Journal of Petroleum Exploration and Production Technology |
container_volume |
10 |
container_issue |
4 |
container_start_page |
1473 |
op_container_end_page |
1495 |
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