| dc.description.abstract | The industry down-time from the second half of 2013 and corona pandemic has effectively turned most companies into introduction of new technologies and digitalization. The industrial landscape is undergoing innovation, leading organizations to embrace fresh strategies in order to leverage emerging technologies.
Automation and automated work processes through the digital technologies are expanding through the life cycle of assets. The prevailing trend indicates that the competitive advantage of successful adapters is linked to automation, increase efficiency and safety, and add value to the asset. eDrilling is a global AI and digital twin software provider for the life cycle of drilling with mathematical- based model that represents the physical assets as the core technology. The suite of products comprises a transient hydraulic model, a mechanical torque and drag model, and a thermodynamic model. The models are embedded together which creates digital twin of a wellbore, in order to predict and optimize the drilling performance. The company is moving ahead with technology trend and recently developed a real-time parameter optimization software for drilling and tripping operations. This software leverages the concept of a digital twin, which is continuously calibrated in real-time, and perform lookahead simulations to optimize drilling parameters.
This thesis focuses on investigating the optimization of drilling parameters using the wellGuide software and its impact on work performance. The drilling process involves numerous variables that continuously and dynamically interact with each other. The study specifically examines the parameters optimized by the wellGuide software and their value-added impact on asset performance.
In order to evaluate the effectiveness of the software, field data obtained from real drilling operations is utilized. The lookahead simulations are subsequently analysed to assess their impact on value creation and work processes, as well as to gain insights into system design, human-machine interface, and the technical aspects of the wellGuide package. By examining relevant research papers and functional descriptions, a comprehensive exploration of the theoretical and practical considerations pertaining to the software and its functionalities is conducted. The findings and recommendations derived from this analysis are then discussed. | |
