Application of design of experiments for well pattern optimization in Umiat oil field: a natural petroleum reserve of Alaska case study
Thesis (M.S.) University of Alaska Fairbanks, 2020 Umiat field, located in Alaska North Slope poses unique development challenges because of its remote location and permafrost within the reservoir. This hinders the field development, and further leads to a potential low expected oil recovery despite...
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ftunivalaska:oai:scholarworks.alaska.edu:11122/11272 2023-05-15T13:09:05+02:00 Application of design of experiments for well pattern optimization in Umiat oil field: a natural petroleum reserve of Alaska case study Gurav, Yojana Shivaji Dandekar, Abhijit Patil, Shirish Khataniar, Santanu Clough, James Patwardhan, Samarth 2020-05 http://hdl.handle.net/11122/11272 en_US eng http://hdl.handle.net/11122/11272 Department of Petroleum Engineering petroleum reserves Alaska North Slope oil fields Thesis ms 2020 ftunivalaska 2023-02-23T21:37:39Z Thesis (M.S.) University of Alaska Fairbanks, 2020 Umiat field, located in Alaska North Slope poses unique development challenges because of its remote location and permafrost within the reservoir. This hinders the field development, and further leads to a potential low expected oil recovery despite latest estimates of oil in-place volume of 1550 million barrels. The objective of this work is to assess various possible well patterns of the Umiat field development and perform a detailed parametric study to maximize oil recovery and minimize well costs using statistical methods. Design of Experiments (DoE) is implemented to design simulation runs for characterizing system behavior using the effect of certain critical parameters, such as well type, horizontal well length, well pattern geometry, and injection/production constraints on oil recovery. After carrying out simulation runs using a commercially available simulation software, well cost is estimated for each simulation case. Response Surface methodology (RSM) is used for optimization of well pattern parameters. The parameters, their interactions and response are modeled into a mathematical equation to maximize oil recovery and minimize well cost. Economics plays a key role in deciding the best well pattern for any field during the field development phase. Hence, while solving the optimization problem, well costs have been incorporated in the analysis. Thus, based on the results of the study performed on selected parameters, using interdependence of the above mentioned methodologies, optimum combinations of variables for maximizing oil recovery and minimizing well cost will be obtained. Additionally, reservoir level optimization assists in providing a much needed platform for solving the integrated production optimization problem involving parameters relevant at different levels, such as reservoir, wells and field. As a result, this optimum well pattern methodology will help ensure optimum oil recovery in the otherwise economically unattractive field and can ... Thesis Alaska North Slope north slope permafrost Alaska University of Alaska: ScholarWorks@UA Fairbanks |
institution |
Open Polar |
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University of Alaska: ScholarWorks@UA |
op_collection_id |
ftunivalaska |
language |
English |
topic |
petroleum reserves Alaska North Slope oil fields |
spellingShingle |
petroleum reserves Alaska North Slope oil fields Gurav, Yojana Shivaji Application of design of experiments for well pattern optimization in Umiat oil field: a natural petroleum reserve of Alaska case study |
topic_facet |
petroleum reserves Alaska North Slope oil fields |
description |
Thesis (M.S.) University of Alaska Fairbanks, 2020 Umiat field, located in Alaska North Slope poses unique development challenges because of its remote location and permafrost within the reservoir. This hinders the field development, and further leads to a potential low expected oil recovery despite latest estimates of oil in-place volume of 1550 million barrels. The objective of this work is to assess various possible well patterns of the Umiat field development and perform a detailed parametric study to maximize oil recovery and minimize well costs using statistical methods. Design of Experiments (DoE) is implemented to design simulation runs for characterizing system behavior using the effect of certain critical parameters, such as well type, horizontal well length, well pattern geometry, and injection/production constraints on oil recovery. After carrying out simulation runs using a commercially available simulation software, well cost is estimated for each simulation case. Response Surface methodology (RSM) is used for optimization of well pattern parameters. The parameters, their interactions and response are modeled into a mathematical equation to maximize oil recovery and minimize well cost. Economics plays a key role in deciding the best well pattern for any field during the field development phase. Hence, while solving the optimization problem, well costs have been incorporated in the analysis. Thus, based on the results of the study performed on selected parameters, using interdependence of the above mentioned methodologies, optimum combinations of variables for maximizing oil recovery and minimizing well cost will be obtained. Additionally, reservoir level optimization assists in providing a much needed platform for solving the integrated production optimization problem involving parameters relevant at different levels, such as reservoir, wells and field. As a result, this optimum well pattern methodology will help ensure optimum oil recovery in the otherwise economically unattractive field and can ... |
author2 |
Dandekar, Abhijit Patil, Shirish Khataniar, Santanu Clough, James Patwardhan, Samarth |
format |
Thesis |
author |
Gurav, Yojana Shivaji |
author_facet |
Gurav, Yojana Shivaji |
author_sort |
Gurav, Yojana Shivaji |
title |
Application of design of experiments for well pattern optimization in Umiat oil field: a natural petroleum reserve of Alaska case study |
title_short |
Application of design of experiments for well pattern optimization in Umiat oil field: a natural petroleum reserve of Alaska case study |
title_full |
Application of design of experiments for well pattern optimization in Umiat oil field: a natural petroleum reserve of Alaska case study |
title_fullStr |
Application of design of experiments for well pattern optimization in Umiat oil field: a natural petroleum reserve of Alaska case study |
title_full_unstemmed |
Application of design of experiments for well pattern optimization in Umiat oil field: a natural petroleum reserve of Alaska case study |
title_sort |
application of design of experiments for well pattern optimization in umiat oil field: a natural petroleum reserve of alaska case study |
publishDate |
2020 |
url |
http://hdl.handle.net/11122/11272 |
geographic |
Fairbanks |
geographic_facet |
Fairbanks |
genre |
Alaska North Slope north slope permafrost Alaska |
genre_facet |
Alaska North Slope north slope permafrost Alaska |
op_relation |
http://hdl.handle.net/11122/11272 Department of Petroleum Engineering |
_version_ |
1766162127372943360 |