A digital approach to the management of brownfields
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, September, 2020
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2021
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| Online Access: | https://hdl.handle.net/1721.1/132849 |
| _version_ | 1826202333309042688 |
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| author | Partington, Ben (Benjamin Francis) |
| author2 | Massachusetts Institute of Technology. Engineering and Management Program. |
| author_facet | Massachusetts Institute of Technology. Engineering and Management Program. Partington, Ben (Benjamin Francis) |
| author_sort | Partington, Ben (Benjamin Francis) |
| collection | MIT |
| description | Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, September, 2020 |
| first_indexed | 2024-09-23T12:05:48Z |
| format | Thesis |
| id | mit-1721.1/132849 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:05:48Z |
| publishDate | 2021 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1328492022-01-13T07:55:19Z A digital approach to the management of brownfields Partington, Ben (Benjamin Francis) Massachusetts Institute of Technology. Engineering and Management Program. System Design and Management Program. Massachusetts Institute of Technology. Engineering and Management Program Engineering and Management Program. System Design and Management Program. Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, September, 2020 Cataloged from the official version of thesis. "September 2020." Includes bibliographical references (pages 121-129). This thesis investigates analytic and data-mining methods that can be used for the management of petroleum brownfields, specifically as it applies to the surveillance, analysis, & optimization of gas lifted oil wells. Building on the output of validated physics-based models, this thesis investigates a range of analytic methods which may be used to determine a probable depth of gas lift injection of wells without pressure gauges, and finds that the Random Forest method coupled with a k-means clustering algorithm can offer good results. Additionally, this thesis shows how a pan matrix profile may be used to efficiently identify patterns (motifs) in the real time pressure signatures of wells. Understanding of the motifs are assessed through a physics-based model, providing a useful tool for engineers to perform surveillance of large well count areas, which are typical for brownfields. by Ben Partington. S.M. in Engineering and Management S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program 2021-10-08T16:59:17Z 2021-10-08T16:59:17Z 2020 Thesis https://hdl.handle.net/1721.1/132849 1263244922 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 129 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Engineering and Management Program. System Design and Management Program. Partington, Ben (Benjamin Francis) A digital approach to the management of brownfields |
| title | A digital approach to the management of brownfields |
| title_full | A digital approach to the management of brownfields |
| title_fullStr | A digital approach to the management of brownfields |
| title_full_unstemmed | A digital approach to the management of brownfields |
| title_short | A digital approach to the management of brownfields |
| title_sort | digital approach to the management of brownfields |
| topic | Engineering and Management Program. System Design and Management Program. |
| url | https://hdl.handle.net/1721.1/132849 |
| work_keys_str_mv | AT partingtonbenbenjaminfrancis adigitalapproachtothemanagementofbrownfields AT partingtonbenbenjaminfrancis digitalapproachtothemanagementofbrownfields |