Derivative-free methods applied to daily production optimization of gas-lifted oil fields

Giuliani, Caio Merlini; Camponogara, Eduardo

doi:10.1016/j.compchemeng.2015.01.014

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Oil‐field Operation1

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2016

2024

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Cited by 25 publications

(1 citation statement)

References 9 publications

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“…Their strategy offers the significant advantage of shortening and parallelizing simulations. In another work, Giuliani and Camponogara used PIPESIM (https://www.software.slb.com/products/pipesim) to model surface networks and used augmented Lagrangian and derivative‐free trust‐region algorithms to handle hard constraints in a Sim‐Opt approach.…”

Section: Oil‐field Operationmentioning

confidence: 99%

Process systems engineering perspective on the planning and development of oil fields

Tavallali

Karimi

Baxendale³

2016

AIChE Journal

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Section: Oil‐field Operationmentioning

confidence: 99%

Process systems engineering perspective on the planning and development of oil fields

Tavallali

Karimi

Baxendale³

2016

AIChE Journal

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Model-Based Methods in Derivative-Free Nonsmooth Optimization

Audet

Hare

2020

Numerical Nonsmooth Optimization

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A modified derivative-free SQP-filter trust-region method for uncertainty handling: application in gas-lift optimization

Hannanu,

Camponogara,

Silva

et al. 2024

Optim Eng

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We propose an effective algorithm for black-box optimization problems without derivatives in the presence of output constraints. The proposed algorithm is illustrated using a realistic short-term oil production case with complex functions describing system dynamics and output constraints. The results show that our algorithm provides feasible and locally near-optimal solutions for a complex decision-making problem under uncertainty. The proposed algorithm relies on building approximation models using a reduced number of function evaluations, resulting from (i) an efficient model improvement algorithm, (ii) a decomposition of the network of wells, and (iii) using a spectral method for handling uncertainty. We show, in our case study, that the use of the approximation models introduced in this paper can reduce the required number of simulation runs by a factor of 40 and the computation time by a factor of 2600 compared to the Monte Carlo simulation with similarly satisfactory results.

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Derivative-free methods applied to daily production optimization of gas-lifted oil fields

Cited by 25 publications

References 9 publications

Process systems engineering perspective on the planning and development of oil fields

Process systems engineering perspective on the planning and development of oil fields

Model-Based Methods in Derivative-Free Nonsmooth Optimization

A modified derivative-free SQP-filter trust-region method for uncertainty handling: application in gas-lift optimization

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