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Journal Articles

Two-Dimensional Planar Modeling of the Depth Control of a Subsea Shuttle Tanker

Yucong Ma, Yihan Xing, Dan Sui, Muk Chen Ong, Tor Henning Hemmingsen

J. Offshore Mech. Arct. Eng. August 2023, 145(4): 044501.

Paper No: OMAE-21-1137

DOI: https://doi.org/10.1115/1.4056418

Published Online: January 5, 2023

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Topics: Feedforward control, Hydrostatics, Ocean engineering, Tankers, Trajectories (Physics), Underwater vehicles, Safety, Modeling, Vessels, Propellers

Proceedings Papers

Modelling of a Subsea Shuttle Tanker Hovering in Ocean Currents

Yucong Ma, Yihan Xing, Marina Simplicio Da Silva, Dan Sui

Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A039, June 5–10, 2022

Paper No: OMAE2022-78146

DOI: https://doi.org/10.1115/OMAE2022-78146

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Topics: Modeling, Ocean currents, Ocean engineering, Tankers, Underwater vehicles

Proceedings Papers

Well Path Design Using Q-Learning Algorithms and Bezier Curves With Obstacles Avoidance

Jie Cao, Samiul Ehsan Chowdhury, Tomasz Wiktorski, Dan Sui

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A007, June 5–10, 2022

Paper No: OMAE2022-78427

DOI: https://doi.org/10.1115/OMAE2022-78427

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Topics: Algorithms, Design, Drilling, Optimization, Reinforcement learning, Trajectories (Physics), Collisions (Physics), Engineers, Dynamic light scattering, Dynamic programming

Proceedings Papers

Global Optimization Workflow for Offshore Drilling Rate of Penetration With Dynamic Drilling Log Data

Jie Cao, Hui Ren, Dan Sui

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A013, June 5–10, 2022

Paper No: OMAE2022-79747

DOI: https://doi.org/10.1115/OMAE2022-79747

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Topics: Drilling, Optimization, Underwater drilling, Workflow, Design, Machine learning, Artificial neural networks, Fluid dynamics, Genetic algorithms, String

Proceedings Papers

Evaluation and Interpretation on Data Driven ROP Models From Engineering Perspectives

Miguel Fernández Berrocal, Jie Cao, Dan Sui

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A009, June 5–10, 2022

Paper No: OMAE2022-78752

DOI: https://doi.org/10.1115/OMAE2022-78752

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Topics: Drilling, Dynamics (Mechanics), Errors, Evaluation methods, Machine learning, Model validation, Modeling, Optimization, Petroleum industry, Pressure

Proceedings Papers

Modeling and Algorithm Development for Well Trajectory Plan and Real-Time Trajectory Control

Luis Saavedra Jerez, Dan Sui

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A085, June 5–10, 2022

Paper No: OMAE2022-78451

DOI: https://doi.org/10.1115/OMAE2022-78451

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Topics: Algorithms, Drilling, Modeling, Simulation, Trajectories (Physics)

Journal Articles

Trajectory Envelope of a Subsea Shuttle Tanker Hovering in Stochastic Ocean Current—Model Development and Tuning

Yucong Ma, Yihan Xing, Dan Sui

J. Offshore Mech. Arct. Eng. June 2023, 145(3): 030901.

Paper No: OMAE-22-1063

DOI: https://doi.org/10.1115/1.4055282

Published Online: September 26, 2022

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Topics: Design, Ocean currents, Ocean engineering, Propellers, Tankers, Trajectories (Physics), Tunnels, Control equipment

Journal Articles

Well Trajectory Optimization With an Emphasis on Anticollision Design

Jie Cao, Ekaterina Wiktorski, Dan Sui

J. Offshore Mech. Arct. Eng. August 2022, 144(4): 044501.

Paper No: OMAE-21-1167

DOI: https://doi.org/10.1115/1.4053654

Published Online: March 1, 2022

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Topics: Design, Optimization, Trajectories (Physics), Reservoirs, Uncertainty

Proceedings Papers

Depth Control Modelling and Analysis of a Subsea Shuttle Tanker

Yucong Ma, Dan Sui, Yihan Xing, Muk Chen Ong, Tor Henning Hemmingsen

Proc. ASME. OMAE2021, Volume 5: Ocean Space Utilization, V005T05A026, June 21–30, 2021

Paper No: OMAE2021-61827

DOI: https://doi.org/10.1115/OMAE2021-61827

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Topics: Modeling, Ocean engineering, Tankers

Proceedings Papers

Investigation of Model Configuration Parameters for Stick-Slip Modeling

Ekaterina Wiktorski, Dan Sui

Proc. ASME. OMAE2021, Volume 10: Petroleum Technology, V010T11A073, June 21–30, 2021

Paper No: OMAE2021-62744

DOI: https://doi.org/10.1115/OMAE2021-62744

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Topics: Modeling, Stick-slip, Drill strings, Damping, Dynamics (Mechanics), Performance, Simulation, Stability, Vibration, Boundary-value problems

Proceedings Papers

Algorithms and Models for Smart Well Planning With Emphasis on Trajectory Optimization

Ekaterina Wiktorski, Dan Sui

Proc. ASME. OMAE2021, Volume 10: Petroleum Technology, V010T11A003, June 21–30, 2021

Paper No: OMAE2021-62731

DOI: https://doi.org/10.1115/OMAE2021-62731

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Topics: Algorithms, Optimization, Trajectories (Physics), Drilling, Engineers, Design, Reservoirs, Collisions (Physics), Pipes

Proceedings Papers

Automated Iterative Gap Filling Method for Drilling Logs and Other Data Series

Andrzej T. Tunkiel, Dan Sui, Tomasz Wiktorski

Proc. ASME. OMAE2021, Volume 10: Petroleum Technology, V010T11A002, June 21–30, 2021

Paper No: OMAE2021-61927

DOI: https://doi.org/10.1115/OMAE2021-61927

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Topics: Algorithms, Drilling, Shapes

Journal Articles

Testing Machine Learning Algorithms for Drilling Incidents Detection on a Pilot Small-Scale Drilling Rig

Erik Andreas Løken, Jens Løkkevik, Dan Sui

J. Energy Resour. Technol. December 2021, 143(12): 124501.

Paper No: JERT-21-1215

DOI: https://doi.org/10.1115/1.4052284

Published Online: September 24, 2021

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Topics: Drilling, Machine learning, Drilling rigs, Testing, Algorithms, Pipes, Vibration

Proceedings Papers

Continuous Drilling Sensor Data Reconstruction and Prediction via Recurrent Neural Networks

Andrzej T. Tunkiel, Tomasz Wiktorski, Dan Sui

Proc. ASME. OMAE2020, Volume 1: Offshore Technology, V001T01A002, August 3–7, 2020

Paper No: OMAE2020-18154

DOI: https://doi.org/10.1115/OMAE2020-18154

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Topics: Artificial neural networks, Drilling, Sensors, Engines, Errors, Exhaust systems, Oil fields, Telemetry, Temperature, Torque

Proceedings Papers

Investigation of Stick-Slip Severity in a Coupled Axial-Torsional Drillstring Dynamics Using a Two DOF Finite Element Model

Ekaterina Wiktorski, Dan Sui

Proc. ASME. OMAE2020, Volume 11: Petroleum Technology, V011T11A028, August 3–7, 2020

Paper No: OMAE2020-19320

DOI: https://doi.org/10.1115/OMAE2020-19320

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Topics: Drill strings, Dynamics (Mechanics), Finite element model, Stick-slip, Boundary-value problems, Drilling, Oscillations, Vibration, Bits (Tools), Finite element methods

Proceedings Papers

Drilling Dataset Exploration, Processing and Interpretation Using Volve Field Data

Andrzej T. Tunkiel, Tomasz Wiktorski, Dan Sui

Proc. ASME. OMAE2020, Volume 11: Petroleum Technology, V011T11A076, August 3–7, 2020

Paper No: OMAE2020-18151

DOI: https://doi.org/10.1115/OMAE2020-18151

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Topics: Drilling, Catalysts, Gages

Proceedings Papers

Experimental Study of Drillstring Dynamics Using a High-Speed Camera As a Non-Invasive Motion Sensor

Ekaterina Wiktorski, Milad Khatibi, Suranga Geekiyanage, Dan Sui, Rune W. Time

Proc. ASME. OMAE2019, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A006, June 9–14, 2019

Paper No: OMAE2019-95217

DOI: https://doi.org/10.1115/OMAE2019-95217

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Topics: Drill strings, Dynamics (Mechanics), Sensors, Vibration, Drilling, Fluctuations (Physics), Drilling rigs, Torque, Wells, Algorithms

Proceedings Papers

Architectures and Algorithms for a Smart Drilling Robot

Suranga C. H. Geekiyanage, Erik A. Løken, Dan Sui, Tomasz Wiktorski

Proc. ASME. OMAE2019, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A028, June 9–14, 2019

Paper No: OMAE2019-95486

DOI: https://doi.org/10.1115/OMAE2019-95486

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Topics: Algorithms, Architecture, Drilling, Robots, Robotics, Testing, Computer software, Decision making, Drilling rigs, Emergency management

Proceedings Papers

Feature Selection for Kick Detection With Machine Learning Using Laboratory Data

Suranga C. H. Geekiyanage, Adrian Ambrus, Dan Sui

Proc. ASME. OMAE2019, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A001, June 9–14, 2019

Paper No: OMAE2019-95496

DOI: https://doi.org/10.1115/OMAE2019-95496

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Topics: Feature selection, Machine learning, Flow (Dynamics), Testing, Algorithms, Drilling, Fatigue, Physics, Pressure, Safety

Proceedings Papers

Kick Management Study on Automated Well Control for Managed Pressure Drilling in Long Wells

Amare Leulseged, Sima A. Nepal, Dan Sui, Suranga C. H. Geekiyanage

Proc. ASME. OMAE2018, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A064, June 17–22, 2018

Paper No: OMAE2018-77800

DOI: https://doi.org/10.1115/OMAE2018-77800

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Topics: Drilling, Pressure, Wells, Pressure control, Control algorithms, Engineering simulation, Flow (Dynamics), Simulation, Unsteady flow, Valves

Journal citation

NARROW

Two-Dimensional Planar Modeling of the Depth Control of a Subsea Shuttle Tanker

Modelling of a Subsea Shuttle Tanker Hovering in Ocean Currents

Well Path Design Using Q-Learning Algorithms and Bezier Curves With Obstacles Avoidance

Global Optimization Workflow for Offshore Drilling Rate of Penetration With Dynamic Drilling Log Data

Evaluation and Interpretation on Data Driven ROP Models From Engineering Perspectives

Modeling and Algorithm Development for Well Trajectory Plan and Real-Time Trajectory Control

Trajectory Envelope of a Subsea Shuttle Tanker Hovering in Stochastic Ocean Current—Model Development and Tuning

Well Trajectory Optimization With an Emphasis on Anticollision Design

Depth Control Modelling and Analysis of a Subsea Shuttle Tanker

Investigation of Model Configuration Parameters for Stick-Slip Modeling

Algorithms and Models for Smart Well Planning With Emphasis on Trajectory Optimization

Automated Iterative Gap Filling Method for Drilling Logs and Other Data Series

Testing Machine Learning Algorithms for Drilling Incidents Detection on a Pilot Small-Scale Drilling Rig

Continuous Drilling Sensor Data Reconstruction and Prediction via Recurrent Neural Networks

Investigation of Stick-Slip Severity in a Coupled Axial-Torsional Drillstring Dynamics Using a Two DOF Finite Element Model

Drilling Dataset Exploration, Processing and Interpretation Using Volve Field Data

Experimental Study of Drillstring Dynamics Using a High-Speed Camera As a Non-Invasive Motion Sensor

Architectures and Algorithms for a Smart Drilling Robot

Feature Selection for Kick Detection With Machine Learning Using Laboratory Data

Kick Management Study on Automated Well Control for Managed Pressure Drilling in Long Wells

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