| dc.description.abstract | Digitalization is a process that has become inevitable due to the broad economic benefits brought to its assets. The automation and digitalization of the drilling process have advanced greatly throughout the years. The idea behind them aims to increase drilling safety, improve efficiency and decrease the costs associated with said process.
However, drilling a well is an extremely complex operation involving many different systems and drilling parameters that should be taken into account. Dealing with each aspect of the drilling chain is highly challenging, if at all possible. To try and provide the industry with optimal solutions to automate and perform all drilling processes is one of the tasks of the Drillbotics Competition organized by the Society of Petroleum Engineers (SPE).
Therefore, this thesis intends to present the main work done by the University of Stavanger (UiS) Drillbotics Team A, 2020, on its two In-House Simulators, the Well Design simulator, and the Real-Time Drilling simulator. The Well Design simulator was developed to provide its users with a simple and optimal drilling design. In contrast, the Real-Time Simulator aims to integrate methodologies of well design, drilling dynamics, and optimization to provide an automated and intelligent digital twin for helping users to make decisions during real-time operations.
Along with presenting analyses on cases using the rotary steerable system (RSS) simulator developed by the UiS Drillbotics team, the trajectory optimization and control analyses were performed to investigate how accurate the current simulator provided by the UiS Drillbotics team can perform and how its inputs can affect the optimized trajectory. | |
