Economic Evaluation of Smart Completion

The increasing complexity of oil and gas reservoirs, combined with growing requirements for efficiency and cost control, places higher demands on well design and operation. Intelligent completion systems enable continuous monitoring and targeted control of production processes, offering the potential to actively influence well performance and reduce the need for interventions. The aim of this thesis is to evaluate the technical and economic value of intelligent completions compared to conventional completion systems and to position the Powerline for Production (PLP) system within this context. The focus is on identifying the key factors that determine value contribution and on analyzing the conditions under which a measurable benefit can be achieved. The market is considered from an application-based perspective in order to reflect the practical use of intelligent completion systems. The results show that the economic value of intelligent completions is not universally applicable, but strongly depends on the specific operating conditions. Benefits are mainly observed in applications where production losses can be reduced or interventions can be avoided. The value contribution is not driven by a single effect, but by the interaction of production behavior, operational effort, and system characteristics. In this context, the availability and use of continuous operational data play a central role, as they form the basis for targeted control and adjustment of well performance. At the same time, system complexity, installation effort, and dependencies on power and data transmission influence the technical feasibility and, consequently, the economic value. Within this context, the PLP system is not considered a standalone completion solution, but an enabling technology for power and data transmission within the well. By integrating these functions into the tubing structure, system complexity can be reduced and the reliability of transmission can be improved. At the same time, the system addresses known limitations of existing transmission solutions, particularly with regard to external cabling and mechanical exposure. The value of PLP is therefore indirect and closely linked to its function within the overall system and the application of intelligent completion technologies. At the same time, it becomes clear that the validity of the results is limited by simplified model assumptions and restricted data availability, and that their transfer to specific field applications requires consideration of the respective boundary conditions.