Abstract Oil and gas production efficiency in China's Bohai Bay faces challenges, including difficulties in development and significant issues with high water cut. Furthermore, the rapid development of intelligent offshore oilfields has created an urgent need for remote supervisory control of oil and gas wells, driven by the widespread adoption of unmanned offshore production facilities. To meet the growing demand for intelligent services, we have optimized well completion methods and production management modes and developed a real-time smart well completion control system based on edge-cloud collaborative digital technology. This system integrates intelligent completion downhole control tools and advanced downhole monitoring sensors to monitor near-well reservoir production dynamics in real-time, remotely control oil and gas production, optimize production layer allocation, reduce workover and shutdown frequencies, enhance reservoir and wellbore understanding, mitigate geological heterogeneity impacts, delay gas and water breakthrough, improve production efficiency, extend well life, and enhance offshore oil and gas recovery. The key to intelligent completion engineering lies in the rational control of inflow control devices to optimize production dynamics and enhance reservoir exploitation management capabilities. Designing and controlling oil and gas field development using smart well completion mainly relies on dynamic simulation and development prediction of well completion and near-well reservoirs. Thus, a sound and reliable simulation scheme, optimal control algorithm, and calculation model are crucial for the successful implementation of smart well completion technology. Using multiphase flow analysis theory in wellbores, coupled with reservoir-well completion data calculation, and wellbore multi-field unsteady coupling analysis technology, we simulate and optimize fluid flow from near-well reservoirs to wellbores. The applied nodal analysis method, known as the vertex-bridge topological structure analysis algorithm, can be expanded radially and axially in the wellbore. It is adaptable to the design and simulation of different segmentations/layers and applies to multi-segment and multi-branch well completion methods involving inflow control. This method has undergone on-site testing and application in the S oilfield of Bohai Bay. The results show that inflow control devices in the well have successfully achieved remote control from the production platform to the cloud application. Through coordinated production allocation of multiple zones, no water breakthrough has been observed since production commenced, achieving an overproduction of 10%, thus realizing the objectives of intelligent well production and increased oil recovery. The advancements presented here offer new strategies for stratified development on offshore platforms, provide a novel approach for production optimization and water control in oil and gas wells, and significantly contribute to the scale-up and operational excellence of China's offshore intelligent oilfields.
Zhong et al. (Tue,) studied this question.