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Open AccessExtensions to generalized disjunctive programming: hierarchical structures and first-order logic
Optimization problems with discrete–continuous decisions are traditionally modeled in algebraic form via (non)linear mixed-integer programming. A more systematic approach to modeling such systems is to use gen...
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Open AccessIterative MILP algorithm to find alternate solutions in linear programming models
We address in this paper linear programming (LP) models in which it is desired to find a finite set of alternate optima. An LP may have multiple alternate solutions with the same objective value or with increa...
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Surface facility optimization for combined shale oil and gas development strategies
In the context of a global energy transition, oil and gas will remain an important part of the energy mix, especially in develo** countries. The challenge of energy companies is to adapt to a changing policy...
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Pipeline network design for gathering unconventional oil and gas production using mathematical optimization
The optimal design of gathering networks for the unconventional oil and gas production is a relevant problem, particularly with the shale boom. In this work, we address a network design problem in which the ma...
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Pyomo.GDP: an ecosystem for logic based modeling and optimization development
We present three core principles for engineering-oriented integrated modeling and optimization tool sets—intuitive modeling contexts, systematic computer-aided reformulations, and flexible solution strategies—...
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A biographical review of the research and impacts of Marco Duran
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State of the art methods for combined water and energy systems optimisation in Kraft pulp mills
This paper presents a state-of-the-art overview of water and energy optimisation methods with applications to Kraft pulp mills. The main conclusions are highlighted, and several research gaps are identified an...
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Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation
We propose a sample average approximation-based outer-approximation algorithm (SAAOA) that can address nonconvex two-stage stochastic programs (SP) with any continuous or discrete probability distributions. Pr...
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Electric power infrastructure planning under uncertainty: stochastic dual dynamic integer programming (SDDiP) and parallelization scheme
We address the long-term planning of electric power infrastructure under uncertainty. We propose a Multistage Stochastic Mixed-integer Programming formulation that optimizes the generation expansion to meet th...
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Open AccessCorrection to: Implementation of RTO in a large hydrogen network considering uncertainty
Correction to: Optimization and Engineering https://doi.org/10.1007/s11081-019-09444-3
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A preface to the special issue on enterprise-wide optimization
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Open AccessImplementation of RTO in a large hydrogen network considering uncertainty
This paper describes the problems associated with the implementation of a real-time optimization (RTO) decision support tool, for the operation of a large scale hydrogen network of an oil refinery. In addition...
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Multiperiod optimization model for oilfield production planning: bicriterion optimization and two-stage stochastic programming model
In this work, we present different tools of mathematical modeling that can be used in oil and gas industry to help improve the decision-making for field development, production optimization and planning. First...
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Open AccessA review and comparison of solvers for convex MINLP
In this paper, we present a review of deterministic software for solving convex MINLP problems as well as a comprehensive comparison of a large selection of commonly available solvers. As a test set, we have u...
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Petroleum supply planning: reformulations and a novel decomposition algorithm
The petroleum supply planning activity is an important link for the integration of the petroleum supply chain at PETROBRAS as it is responsible for refining the strategic supply planning information to be used...
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Offshore oilfield development planning under uncertainty and fiscal considerations
The development planning of an offshore oil and gas field infrastructure involves critical investment and operating decisions at an early stage of the project that impact the overall project profitability. The...
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Data-driven construction of Convex Region Surrogate models
With the increasing trend of solving more complex and integrated optimization problems, there is a need for develo** process models that are sufficiently accurate as well as computationally efficient. In thi...
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Chapter
Challenges in Enterprise Wide Optimization for the Process Industries
Enterprisewide optimization (EWO) is a new emerging area that lies at the interface of chemical engineering and operations research, and has become a major goal in the process industries due to the increasing ...
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Prologue
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Prologue