Derivative-free parameter tuning for a well multiphase flow simulator

Seman, Laio Oriel; Miyatake, Luis Kin; Camponogara, Eduardo; Giuliani, Caio Merlini; Vieira, Bruno Ferreira

doi:10.1016/j.petrol.2020.107288

Cited by 18 publications

(8 citation statements)

References 25 publications

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“…( 21), the molecular weights reported in Table 4, and assuming that the molar fraction of Methane is much greater than the other components, it is possible to conclude that the higher the CO 2 content the higher will be the specific gravity G. Thus, increasing CO 2 content increases G, which in turn decreases the flow rate q for the given pressure as seen in Eq. (18). Conversely, in Eq.…”

Section: ) Hydraulicsmentioning

confidence: 93%

“…The application of a DFO algorithm to the Santos Basin obtained solutions of nearlyoptimal quality, but the computational cost was exceedingly high due to the direct use of a complex phenomenological simulator. In [18], a methodology for hyper-tuning of oil well simulators was presented using DFO. Besides meeting demands from the regulatory agency, accurately adjusted well models empower engineers to plan production and derive piecewise-linear surrogates that can be used in MILP production optimization.…”

Section: A Overview and Related Workmentioning

confidence: 99%

“…Another try is the Darcy friction factor f present in the denominator of Eq. (18). For turbulent flow in smooth pipes the friction factor is given by the Collebrook-White equation:…”

Section: ) Hydraulicsmentioning

confidence: 99%

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Derivative-Free Optimization With Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network

et al. 2023

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The deployment of offshore platforms for the extraction of oil and gas from subsea reservoirs presents unique challenges, particularly when multiple platforms are connected by a subsea gas network. In the Santos basin, the aim is to maximize oil production while maintaining safe and sustainable levels of CO 2 content and pressure in the gas stream. To address these challenges, a novel methodology has been proposed that uses boundary conditions to coordinate the use of shared resources among the platforms. This approach decouples the optimization of oil production in platforms from the coordination of shared resources, allowing for more efficient and effective operation of the offshore oilfield. In addition to this methodology, a fast and accurate proxy model has been developed for gas pipeline networks. This model allows for efficient optimization of the gas flow through the network, taking into account the physical and operational constraints of the system. In experiments, the use of the proposed proxy model in tandem with derivative-free optimization algorithms resulted in an average error of less than 5% in pressure calculations, and a processing time that was over up to 1000 times faster than the phenomenological simulator. These results demonstrate the effectiveness and efficiency of the proposed methodology in optimizing oil production in offshore platforms connected by a subsea gas network, while maintaining safe and sustainable levels of CO 2 content and pressure in the gas stream.INDEX TERMS Oil production systems, subsea gas networks, proxy modeling, derivative-free optimization.

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Section: ) Hydraulicsmentioning

confidence: 93%

Section: A Overview and Related Workmentioning

confidence: 99%

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Derivative-Free Optimization With Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network

et al. 2023

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“…The multiphase flow investigation and the ejector performance are one of the most relevant topics in many research fields: from oil and gas industries to refrigeration applications and gathering information about fluid and well properties such as the amount of gas and oil in the mixture, their pressure, and temperature [16].…”

Section: Literature Reviewmentioning

confidence: 99%

The Digital Twin Realization of an Ejector for Multiphase Flows

Mazzuto¹,

Ciarapica²,

Ortenzi³

2021

Energies

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Despite the extensive use of ejectors in the process industry, it is complex to predict suction and motive fluids mixture characteristics, especially with multiphase flows, even if, in most cases, mixture pressure control is necessary to satisfy process requirements or to avoid performance problems. The realization of an ejector model can allow the operators to overcome these difficulties to have real-time control of the system performance. In this context, this work proposes a framework for developing a Digital Twin of an ejector installed in an experimental plant able to predict the future state of an item and the impact of negative scenarios and faults diagnosis. ANNs have been identified as the most used tool for simulating the multiphase flow ejector. Nevertheless, the complexity in defining their structure and the computational effort to train and use them are not suitable for realizing standalone applications onboard the ejector. The proposed paper shows how Swarm Intelligence algorithms require a low computational complexity and overperform prediction error and computational effort. Specifically, the Grey Wolf optimizer proves to be the best one among those analyzed.

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“…Among the approaches found in the literature to deal with simulated constraints, two are mentioned here. In the first approach, derivative-free optimization (DFO) algorithms are used to communicate directly with the simulator, as in [21], where the authors used Mesh Adaptive Direct Search (MADS) to tune oil well parameters. Although this approach can generate good results, it creates a dependency on the simulator and results in an increased computational time.…”

Section: Introductionmentioning

confidence: 99%

Electric Field Evaluation Using the Finite Element Method and Proxy Models for the Design of Stator Slots in a Permanent Magnet Synchronous Motor

et al. 2020

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The efficiency of electric motors is being improved every day and projects with design variations can improve their performance. Among electric motors, the Permanent Magnet Synchronous Machine (PMSM) is being increasingly used, because of its growing use in electric vehicles. Simulating design variations using the Finite Element Method (FEM) can improve PMSM design, and by optimizing the parameters based on the FEM, even better results can be achieved. The design of the PMSM stator slots must be evaluated, as conductors are accommodated and an electrical potential is applied at this location. The FEM parameters are varied, and the results can be used to build an approximate model, known as a proxy model. The proxy model can then be used in a mathematical programming problem to optimize the design of stators that have less electric field in certain regions, thus reducing the chance of developing a failure. The results of the proposed methodology show that its application is promising for machine design and can also be used for the design of other systems.

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Derivative-free parameter tuning for a well multiphase flow simulator

Cited by 18 publications

References 25 publications

Derivative-Free Optimization With Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network

Derivative-Free Optimization With Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network

The Digital Twin Realization of an Ejector for Multiphase Flows

Electric Field Evaluation Using the Finite Element Method and Proxy Models for the Design of Stator Slots in a Permanent Magnet Synchronous Motor

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