Knowledge-assisted dual-stage evolutionary optimization of large-scale crude oil scheduling
With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil
scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear …
scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear …
A continuous-time formulation for scheduling crude oil operations in a terminal with a refinery pipeline
B Zimberg, E Ferreira, E Camponogara - Computers & Chemical …, 2023 - Elsevier
The reception, mixture, delivery, and processing of crude oil at a refinery are modeled and
validated. We employ a continuous-time model based on priority-slots and a multi-operation …
validated. We employ a continuous-time model based on priority-slots and a multi-operation …
Sustainable crude oil transportation: design optimization for pipelines considering thermal and hydraulic energy consumption
The oil and gas industry has paid increasing attention to energy consumption and is taking
steps to reduce emissions owing to growing environmental concerns. In this study, a method …
steps to reduce emissions owing to growing environmental concerns. In this study, a method …
[HTML][HTML] Optimization of crude oil operations scheduling by applying a two-stage stochastic programming approach with risk management
TG Garcia-Verdier, G Gutierrez, CA Méndez… - Journal of Process …, 2024 - Elsevier
This paper focuses on the problem of crude oil operations scheduling carried out in a system
composed of a refinery and a marine terminal, considering uncertainty in the arrival date of …
composed of a refinery and a marine terminal, considering uncertainty in the arrival date of …
A MILP-based clustering strategy for integrating the operational management of crude oil supply
In this paper, we present a MILP clustering formulation for tackling the operational
management of crude oil supply (OMCOS) proposed by de Assis et al.(2019). The OMCOS …
management of crude oil supply (OMCOS) proposed by de Assis et al.(2019). The OMCOS …
The multi-visit-multi-voyage scheduling of the heterogeneous shuttle tanker fleet via inventory-oriented joint planning
The deep-sea oil exploitation leads to the growing utilization of the Floating Production
Storage and Offloading (FPSO), where the crude oil is processed and stored until it can be …
Storage and Offloading (FPSO), where the crude oil is processed and stored until it can be …
Derivative-free optimization with proxy models for oil production platforms sharing a subsea gas network
C Luguesi, E Camponogara, LO Seman… - IEEE …, 2023 - ieeexplore.ieee.org
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 …
presents unique challenges, particularly when multiple platforms are connected by a subsea …
Simultaneous production and maintenance scheduling for refinery front-end process with considerations of risk management and resource availability
Effective unit maintenance is critically important for the front-end crude transfer process
(FCTP) to ensure production reliability and safe operations in refineries. It should be …
(FCTP) to ensure production reliability and safe operations in refineries. It should be …
Integrated optimization of crude oil procurement planning and blending scheduling for property stabilization
W Zheng, X Gao, F Huang, X Zuo, X Chen - Computers & Chemical …, 2024 - Elsevier
Crude oil procurement and blending are key processes in refinery production. When solving
the integrated optimization problem of simple oil procurement and blending, the following …
the integrated optimization problem of simple oil procurement and blending, the following …
Knowledge-assisted hybrid optimization strategy of large-scale crude oil scheduling integrated production planning
R He, Y Xie, S Zhang, F Xu, J Long - Computers & Chemical Engineering, 2025 - Elsevier
As modern refinery crude oil scheduling scales up, traditional manual operations and
independent optimization methods struggle with complexity and dynamics. This study …
independent optimization methods struggle with complexity and dynamics. This study …