Offshore Technology Conference, Journal Year: 2025, Volume and Issue: unknown
Published: April 28, 2025
Abstract This study introduces a novel decision support system (DSS) to optimize produced water (PW) management in the offshore oil and gas industry. The DSS integrates field data, specifications, simulation tools quantify performance, forecast operational challenges, operations, evaluate impact of modifications. Field data—including historical predicted production information—is integrated with which detail platform’s equipment, their interconnections, key characteristics. Simulation models, whether physics-based or data-driven, utilize data combined information estimate unmeasured parameters assess performance PW treatment system. Interactive dashboards visualization enhance DSS’s capabilities, enabling experts make informed decisions based on real-time insights. proposed is tested using synthetic modeled real field, considering factors such as scale precipitation, energy consumption, equipment efficiency identify inefficiencies potential risks. alarms recommendations provided by provide insights, controlled adjustments investment while mitigating risks associated ad hoc changes. One straightforward recommendation from was evaluated for its oil-in-water (OiW) measurements at discharge point, demonstrating role enhancing sustainability minimizing environmental impact. results case demonstrate how adjustments, guided DSS, could reduce bottlenecks, potentially prevent short-sighted decisions, enable proactive predicting issues before they escalate. By assessing both current forecasted conditions, enables optimization strategies, evaluating impacts addressing inefficiencies. Unlike traditional, fragmented approaches management, offers holistic, solution interlinking various challenges research highlights advance practices improving efficiency, leading more economically viable operations. Finally, this showcases digital solution.
Language: Английский