Introducing approximate well dynamics into production optimization for operations scheduling

Hülse, Eduardo Otte; Silva, Thiago Lima; Camponogara, Eduardo; Rosa, Vinicius Ramos; Vieira, Bruno Ferreira; Teixeira, Anne Kayline Soares

doi:10.1016/j.compchemeng.2020.106773

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…With faster dynamics, and commonly facing platform equipment issues, operating setpoints in the subsea side up to the topside facilities are remote. Hülse et al (2020) developed a short-term scheduling model, e.g., as per 16 hours, for well operations coping with uncertainties in the threephase vessel, while determining decision-making for variables related to flow conservation and pressure balances for global variables within a platform as gas-lift compressors and valves. In their work, the wells are operated with gas-lift, and material utilities along the platform are not accounted for.…”

Section: State Of the Art And Reviewmentioning

confidence: 99%

“…Another drawback of simulators is that they are not made to perform degenerative functions for uncertainties like composition and subsea production capacity, which clearly decline with time for oil and gas, while increase for water. Since oil wells cannot produce uninterruptedly during all field development phases, due to operational issues (Hülse et al, 2020), a scheduling model that can input uncertainty is prone to provide solution for this case. Similarly, for dynamic modeling and simulation for part of a topside facility using CAPE-OPEN softwares, see Trica (2022) for blackoil modeling approach with interconnected oil and gas units.…”

Section: State Of the Art And Reviewmentioning

confidence: 99%

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Novel Topside and Subsea Production Optimization, Operational Scheduling, and a Generic Plantwide MPC for Process Systems Control and Production Maximization: Oil, Gas, Water and Utilities Decision-Making with Offloading to Supply Chains and Sustainability

Balbino Barbosa Filho,

Farenzena,

Trierweiler

2024

Preprint

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The main challenges in oil platforms are how to define optimal setpoints and decision-making for controlling variables due to many existing dynamical production uncertainties while conceding safe operation and minimizing discharge to sea and atmosphere without killing plantwide inventory. A novel scheduling model to optimize the whole essential units of an oil platform production gathering topside and subsea variables is disclosed. A proper topside and subsea scheduling model enables and creates harmony between optimal production, supply chain, costs, and market dynamics, satisfying demands, environmental and operations constraints leading to stability. The interest of the present research lies in determining the optimal topside and subsea operational settings and decision-making, establishing maximum E&P performance and production control setpoints while predicting and manipulating reservoir lifespan and its revitalization. This objective is attained through a novel multiperiod large-scale model for the planning and operational production scheduling and model predictive control (MPC) in oil platforms complying with sustainability, profitability, platform design capacities, and offloading of oil and gas to supply chains or to pipeline exportation. The present model details heat and mass transfer, PVT, flow profiles along a planning horizon and can be used to any oil platform since comprises all the essential unit operations for oil, gas, CO2, H2S and water. The model maximizes the total oil production over any planning horizon. The model is versatile, and decision-making can be either linear or nonlinear but rather a MILP or LP as best choice on optimizing large-scale systems. If the model is applied with auto rescheduling on site within variable hours or minutes, it becomes a real-time optimization schedule approach. Due to its high-velocity performance and robustness, a novel multi-objective function strategy, acting as an LP generic plantwide MPC with industrial scope to maximize production while controlling the process is presented, and as an example is here used to control slug flow to avoid equipment trips and inventory instability, at the same time production is maximized. The output from the decision-making was compared to actual plant data, and the results proved compliance to the design capacity with process safety and sustainability. Comparing to official Brazil's government data for oil, the case study showed superiority to the same size platforms, like FPSOs P-75 and MV32, e.g., more than 101.5% more capacity to produce oil in beginning of campaign after first oil, and 10.5% during campaign. The present work indicates that: 1) the production of millions of barrels is being delayed or left aside; 2) not scheduling production harms the environment and diminish process safety; 3) not scheduling production can create stochastic supply chain deliveries instead of organizing it by deterministic offloading days; 4) scheduling is essential to manipulate, revitalize and monitor reservoir's pressure and content under uncertainty; 5) the oil platform can be automatic optimized by a plantwide MPC reducing human activity/dependency; 6) scheduling gives more transparency to stakeholders and contractors by forecasting business data and capability, and can design, develop or enable new businesses.

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Section: State Of the Art And Reviewmentioning

confidence: 99%

Section: State Of the Art And Reviewmentioning

confidence: 99%

Novel Topside and Subsea Production Optimization, Operational Scheduling, and a Generic Plantwide MPC for Process Systems Control and Production Maximization: Oil, Gas, Water and Utilities Decision-Making with Offloading to Supply Chains and Sustainability

Balbino Barbosa Filho,

Farenzena,

Trierweiler

2024

Preprint

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“…A chief hurdle to integrating dynamics into short-term production optimization include the computational difficulty of solving large nonlinear problems involving discrete decisions, the scales of time that can vary from seconds to hours, and the complexity of keeping models updated. Acknowledging these challenges, [15] proposed proxy models of well dynamics in the context of shut-in and start-up operations for well over a planning horizon, which are needed in the event of compressor failure and later recovery. Despite the use of proxy dynamic models, the identification, synthesis and maintenance of proxy well dynamic models was deemed costly for practical application by production engineers of the Brazilian Oil Company (Petrobras).…”

Section: Introductionmentioning

confidence: 99%

Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms

et al. 2023

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Short-term production optimization of oil assets concerns routing decisions and equipment control settings that induce optimal steady-state operations. Typically, the decisions are made on the scale of hours to days with the aim of maximizing short-term economic and oil gains. Still an evolving field, this paper contributes by presenting a model and solution strategy for sequencing operations over time to drive the system towards an optimal state, while accounting for constraints that ensure smooth transitions until settling at the terminal steady-state. The constraints include the maximum number of wells that undergo a change in the control settings, maximum number and variation on the input signals for each well, and maximum number of changes in each time period, among others. Additionally, the proposed strategy can optimize the rate of injection of demulsifiers into wells considering the limits and impacts on fluid processing capacity. The paper reports simulated results for a real-world offshore production platform, demonstrating the effectiveness of the optimization strategy to cope with the failure and recovery of compression capacity, and manage the injection of demulsifiers.

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Short-term steady-state production optimization of offshore oil platforms: wells with dual completion (gas-lift and ESP) and flow assurance

Müller

Camponogara

Seman

et al. 2021

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Introducing approximate well dynamics into production optimization for operations scheduling

Cited by 5 publications

References 29 publications

Novel Topside and Subsea Production Optimization, Operational Scheduling, and a Generic Plantwide MPC for Process Systems Control and Production Maximization: Oil, Gas, Water and Utilities Decision-Making with Offloading to Supply Chains and Sustainability

Novel Topside and Subsea Production Optimization, Operational Scheduling, and a Generic Plantwide MPC for Process Systems Control and Production Maximization: Oil, Gas, Water and Utilities Decision-Making with Offloading to Supply Chains and Sustainability

Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms

Short-term steady-state production optimization of offshore oil platforms: wells with dual completion (gas-lift and ESP) and flow assurance

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