Transforming Produced Water Management with a Decision Support System DOI
Arvinder P.S. Loomba,

G. S. Aaboen,

Pramod Kumar Soni

et al.

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

Environmental Protection in Enhanced Oil Recovery and Its Waste and Effluents Treatment: A Critical Patent-Based Review of BRICS and Non-BRICS (2004–2023) DOI Open Access
Cristina M. Quintella

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2896 - 2896

Published: March 25, 2025

Oil production will remain essential in the coming decades, requiring environmental responsibilities that are aligned with Agenda 2030. Enhanced oil recovery (EOR) increases efficiency low investment, but protection technologies (EOR and Env), including green EOR (GEOR) waste treatment (WT), must be integrated. The BRICS association, representing half of global production, promotes technology transfer this context. Worldwide patent data (2004–2023) Env at TRL 4–5 non-BRICS countries were compared for nine GEOR (1489 patents) WT (2292 methods. China is leader (73%, being 98% patents), maintaining dominance even when normalized by GDP. Non-BRICS patents from USA (41%), Japan (31%), Republic Korea (14%). surpassed 2014, a 5.9% growth rate, −13.2% non-BRICS, all methods growing, whereas only water flocculation growing. technological specialization expanding more rapidly than countries. exhibit higher relative advantages distance surfactants, polymers, macromolecules, sludge treatment, multistage devices. competitive situ combustion, alternating gas (WAG), re-pressurization, vacuum techniques, flotation, water–oil separation, sorption, or precipitation, flocculation, oil-contaminated water. primary positioned to define policies regarding innovation. Technological partnerships between strongly recommended enhance synergy achieve sustainable efficient rapidly.

Language: Английский

Citations

0

Transforming Produced Water Management with a Decision Support System DOI
Arvinder P.S. Loomba,

G. S. Aaboen,

Pramod Kumar Soni

et al.

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

Citations

0