Assisting Offshore Production Optimization Technology in Intelligent Completion Operation Based on Edge-Cloud Collaborative Technologies

Abstract This paper demonstrates the enhancement of intelligent completion capabilities by integrating with a digital oilfield platform for effective performance management of offshore wells. The development of intelligent completion technologies has been increasingly important in the field of oil exploration and production in the last few years. The development of an integrated system based on edge-cloud collaborative technologies is in line with the company's objectives of building offshore intelligent oilfields. This is the result of the integration of intelligent completion technology with digital advancements. The use of this technology addresses multi-well operations, reservoir complexity, formation pressure, production challenges, and substantial cost optimization in offshore environments. The integrated well-completion system comprises a cloud-based analytics management application, downhole sensors, downhole flow control tools, and on-site data gathering, analysis, and control devices. The main activities at the edge end are data processing and collection, which includes feature extraction, consistency validation, feature engineering, and data supplementation. Real-time data monitoring, analysis, and production optimization are carried out using constrained computational resources, with a focus on production activities, using simplified multi-field coupling analysis models; Obtaining drilling and completion data for various offshore oil and gas wells as well as reservoir analysis data from the production phase are the tasks involved at the cloud end. The system uses newly developed reservoir-wellbore multi-field coupling non-steady-state models for oil and gas well production analysis, combining real-time monitoring data from the offshore platform. It quickly offers medium-term and short-term production optimization solutions, with an emphasis on managing the production of oil and gas wells. The deployment of computational analysis models and the application of multi-well production optimization strategies are made possible by edge-cloud collaboration technology, which also maintains a reasonable degree of autonomy between on-site and remote management. These components are fully integrated and interact with each other to function as microservices, cloud-based container services, or edge computing services, providing a one-stop solution for improving reservoir management as it enables remote control and monitoring of downhole equipment. The core of this paper is to provide a technical overview for the effective integration of data from leading performance indicators attributing to intelligent completions, with the ultimate goal of optimizing reservoir recovery and phasing out the load of high OPEX to CAPEX by using downhole communication, advanced digital software, remote sensing, and control devices, and telemetry to transmit the massive amount of data gathered.