Complex lithology prediction using probabilistic neural network improved by continuous restricted Boltzmann machine and particle swarm optimization
Lithology prediction, especially for reservoirs consisting of complex lithologies, is universally
considered as a critical underlying task for petroleum exploration, because lithological data …
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
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 …
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
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 …
Derivative-free parameter tuning for a well multiphase flow simulator
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 …
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
The process manufacturing industry includes multiple continuous unit processes, which
cooperate with each other to complete a specific production task. Owing to the coupling …
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 …
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
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 …
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
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 …
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 …
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
Most of the literature on short-term production optimization concerns the computation of
optimal system settings for steady-state operations. Such methodologies are applicable …
optimal system settings for steady-state operations. Such methodologies are applicable …