Improved stiff string torque and drag prediction using a computationally efficient contact algorithm
Due to the intermittent contact with the wellbore, determining torque and drag for deviated wells is difficult. Most models have ignored drill string stiffness and assumed continual contact to simplify derivation. However, the accuracy of these ‘soft-string’ models is restricted, especially at high...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Mathematical and Computer Modelling of Dynamical Systems |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/13873954.2024.2348152 |
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| author | Sampath Liyanarachchi Geoff Rideout |
| author_facet | Sampath Liyanarachchi Geoff Rideout |
| author_sort | Sampath Liyanarachchi |
| collection | DOAJ |
| description | Due to the intermittent contact with the wellbore, determining torque and drag for deviated wells is difficult. Most models have ignored drill string stiffness and assumed continual contact to simplify derivation. However, the accuracy of these ‘soft-string’ models is restricted, especially at high dogleg severities. On the other hand, most ‘stiff-string’ models rely on computationally intensive approaches or continuous contact assumptions. To mitigate these issues, a computationally efficient penalty-based wellbore contact algorithm has been developed based on vector calculation, which at most requires two dot products and three arithmetic operations to determine contact locations. This algorithm is incorporated into a 3D multibody dynamics (MBD) model, which utilizes rigid drill-string segments based on the Newton-Euler formulation, connected via axial, shear, torsional, and bending springs to capture drill string flexibility. This model performs simulations faster than real-time and has been validated using surface measurements from a completed well. |
| format | Article |
| id | doaj-art-9ba785ceb9424cbbae99c96efaa2f0e8 |
| institution | Kabale University |
| issn | 1387-3954 1744-5051 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Mathematical and Computer Modelling of Dynamical Systems |
| spelling | doaj-art-9ba785ceb9424cbbae99c96efaa2f0e82024-12-12T14:07:39ZengTaylor & Francis GroupMathematical and Computer Modelling of Dynamical Systems1387-39541744-50512024-12-0130141744310.1080/13873954.2024.2348152Improved stiff string torque and drag prediction using a computationally efficient contact algorithmSampath Liyanarachchi0Geoff Rideout1Faculty of Engineering and Applied Science Department of Mechanical Engineering, Memorial University of Newfoundland, St. John’s, NL CanadaFaculty of Engineering and Applied Science Department of Mechanical Engineering, Memorial University of Newfoundland, St. John’s, NL CanadaDue to the intermittent contact with the wellbore, determining torque and drag for deviated wells is difficult. Most models have ignored drill string stiffness and assumed continual contact to simplify derivation. However, the accuracy of these ‘soft-string’ models is restricted, especially at high dogleg severities. On the other hand, most ‘stiff-string’ models rely on computationally intensive approaches or continuous contact assumptions. To mitigate these issues, a computationally efficient penalty-based wellbore contact algorithm has been developed based on vector calculation, which at most requires two dot products and three arithmetic operations to determine contact locations. This algorithm is incorporated into a 3D multibody dynamics (MBD) model, which utilizes rigid drill-string segments based on the Newton-Euler formulation, connected via axial, shear, torsional, and bending springs to capture drill string flexibility. This model performs simulations faster than real-time and has been validated using surface measurements from a completed well.https://www.tandfonline.com/doi/10.1080/13873954.2024.2348152Drill-string torque and dragbond graphcontact detection |
| spellingShingle | Sampath Liyanarachchi Geoff Rideout Improved stiff string torque and drag prediction using a computationally efficient contact algorithm Mathematical and Computer Modelling of Dynamical Systems Drill-string torque and drag bond graph contact detection |
| title | Improved stiff string torque and drag prediction using a computationally efficient contact algorithm |
| title_full | Improved stiff string torque and drag prediction using a computationally efficient contact algorithm |
| title_fullStr | Improved stiff string torque and drag prediction using a computationally efficient contact algorithm |
| title_full_unstemmed | Improved stiff string torque and drag prediction using a computationally efficient contact algorithm |
| title_short | Improved stiff string torque and drag prediction using a computationally efficient contact algorithm |
| title_sort | improved stiff string torque and drag prediction using a computationally efficient contact algorithm |
| topic | Drill-string torque and drag bond graph contact detection |
| url | https://www.tandfonline.com/doi/10.1080/13873954.2024.2348152 |
| work_keys_str_mv | AT sampathliyanarachchi improvedstiffstringtorqueanddragpredictionusingacomputationallyefficientcontactalgorithm AT geoffrideout improvedstiffstringtorqueanddragpredictionusingacomputationallyefficientcontactalgorithm |