Complex lithology prediction using probabilistic neural network improved by continuous restricted Boltzmann machine and particle swarm optimization

Y Gu, Z Bao, X Song, S Patil, K Ling - Journal of Petroleum Science and …, 2019 - Elsevier
Lithology prediction, especially for reservoirs consisting of complex lithologies, is universally
considered as a critical underlying task for petroleum exploration, because lithological data …

Modeling techniques and control strategies for jack-up rig: a state of the art and challenges

XK Dang, TD Tran - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, for many offshore projects, including offshore oil and gas exploration and
offshore wind farm construction, it is necessary to control the position of elevating of Jack-up …

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 …

Derivative-free parameter tuning for a well multiphase flow simulator

LO Seman, LK Miyatake, E Camponogara… - Journal of Petroleum …, 2020 - Elsevier
The analysis of multiphase flow from wells is periodically performed in test separators,
producing data on fluid and reservoir properties such as the gas–oil ratio, water cut …

Self-organized cascade collaborative optimization method for associated unit processes

X Zhang, Y Li, W Chen, B Sun, C Yang - Journal of Manufacturing …, 2023 - Elsevier
The process manufacturing industry includes multiple continuous unit processes, which
cooperate with each other to complete a specific production task. Owing to the coupling …

Multistage optimization of a petroleum production system with material balance model

C Vessaire, JP Chancelier, M De Lara… - Computers & Chemical …, 2022 - Elsevier
In this paper, we propose a mathematical formulation for the optimal management over time
of an oil production network as a multistage optimization problem. The proposed model …

A computational performance comparison of MILP vs. MINLP formulations for oil production optimisation

EI Epelle, DI Gerogiorgis - Computers & Chemical Engineering, 2020 - Elsevier
Abstract Model-based oil production systems optimisation under pressure and facility routing
constraints is a testing challenge, especially in the presence of complex downhole wellbore …

Sequential short-term optimization of gas lift using linear programming: a case study of a mature oil field in Russia

D Jeong, K Yoshioka, H Jeong, B Min - Journal of Petroleum Science and …, 2021 - Elsevier
The present study examines the sequential optimization of total lifting-gas allocation into
multiple producing wells via linear programming for the maximization of oil production in a …

SimProxy decision support system: a neural network proxy applied to reservoir and surface integrated optimization

M Kohler, M Vellasco, E Silva… - IEEE Systems …, 2020 - ieeexplore.ieee.org
The development of an oil reservoir consists in drilling wells that maximize revenue. The
quest for this configuration is often based on optimization processes that use the net present …

Introducing approximate well dynamics into production optimization for operations scheduling

EO Hülse, TL Silva, E Camponogara, VR Rosa… - Computers & Chemical …, 2020 - Elsevier
Most of the literature on short-term production optimization concerns the computation of
optimal system settings for steady-state operations. Such methodologies are applicable …