The effective time-averaged volume reflects the thermal recovery rate and fracture effective utilization time, aiding in the optimization of operating parameters. This index also evaluates system economy and reservoir effectiveness, guiding engineering production decisions. ... When the production time is 45 years and K P equals 30 D, …

The optimization of production is a part of continuous research given the importance of following the need of the market that is managed by the demand of customers, X Li (2021) [] explain that the manufacturing industry model has changed because of customer habits which varies over time without forgetting the influence of …

Due to the advances in the digitalization process of the manufacturing industry and the resulting available data, there is tremendous progress and large interest in integrating machine learning and optimization methods on the shop floor in order to improve production processes. Additionally, a shortage of resources leads to increasing …

Cost variations in production, encompassing fixed and variable costs as well as economies of scale and time-dependent expenses, present a challenging but crucial aspect of production optimization.

This paper presents a computational tool for the real-time evaluation and optimization of production in a hydro plant. It is shown that a detailed modeling of the hydropower production function using the Hill chart method gives errors of the same order of magnitude as those obtained with ultrasonic flow meters, whose costs are on the order …

Hydrogen (H2 ), the most abundant element in the universe, has the potential to address the challenges of energy security and climate change. However, due to the lack of a safe and efficient method for storing and delivering hydrogen, its practical application is still in its infancy stages. To overcome this challenge, a promising solution …

REAL-TIME PRODUCTION OPTIMIZATION RTPO research at the IO center mainly adresses modeling, control and optimization challenges. The well production and routing problem has been adressed in a series of papers. In [Foss et al., 2009] a method based on Lagrangian Decomposition (LD) for realtime well production and optimization …

The field production profile over the yearly horizon is planned for a balance between economy, security, and sustainability of energy. An optimal drilling schedule is required to achieve the planned production profile with minimized drilling frequency and summation. In this study, we treat each possible production process of each well as a dependent time …

Request PDF | Optimization of Well Placement in Real-Time Production Optimization of Intelligent Fields with Use of Local and Global Methods | With recent advances in technology and because of its ...

Download Citation | Fast Real-Time Production Optimization for Integrated Asset Modelling Using Mixed-Integer Non-Linear Programming in Julia Language | This study proposes a method for integrated ...

Any action that reduces waste throughout the production cycle – such as reducing Takt time or optimizing first pass yield, can contribute to production optimization. Production optimization is rarely a one-off effort towards a short-term objective but rather an ongoing set of actions aimed at delivering business goals.

Abstract. This work proposes a method to use time-lapse seismic for production optimization. The field in the study is mature with 15 years of production history. Two legacy repeated seismic ...

Similarly, the use of optimization models for planning production over time has its origins in the work of Modigliani and Hohn ( 1955 ), although the roots of this work reach back to the activity-based economic models developed by economists such as Leontief and Koopmans (e.g., Koopmans et al. 1951 ). The area of sequencing and …

Manufacturing Optimization is a holistic discipline that enables manufacturers to get from proto to mass production and beyond as quickly as possible, with as little waste as possible. It's a data-driven embrace of a better way – one that leverages emerging technology built on the powerful shoulders of math. It's also not new.

The COVID-19 pandemic wreaks havoc in supply chains by reducing the production capacity of some essential suppliers, closure of production facilities or the absence of infected workers. In this paper, we present three decision support models for a plant manager to help in deciding on (a) the level of protection of the workforce against …

Optimization of bioethanol production using the OD-MS algorithm is a new technique in predicting the results. It can be implemented on a lab scale and in industry. The novelty of this work is to predict the glucose and ethanol yield from the developed OD-MS algorithm using the given biomass characteristics and process conditions as input.

In the previous articles, we were working in two dimensions, and our variable was the time spent working on each assembly line each day. This time we add one dimension, the order concerned by this variable. We have one main optimization variable x_qty and one slave variable x_time defined using the cycle_times dictionary. A tuple in …

The COVID-19 pandemic wreaks havoc in supply chains by reducing the production capacity of some essential suppliers, closure of production facilities or the absence of infected workers. ... Production optimization in the time of pandemic: an SIS-based optimal control model with protection effort and cost minimization Ann Oper Res. 2023 …

To increase its production, three strategies were employed, including codon optimization, disulfide formation, and fusion with a Cherry tag, with Cherry-tag fusion being most effective. The culture medium of P. pastoris that expressed Cherry-tagged bG42-106 contained 24.4 U/mL of β -galactosidase activity, which is 14-fold greater than that ...

of production and time-lapse seismic data of the Norne field. Time-lapse seismic and production data of the Norne field is jointly inverted by varying the sensitive parameters identified in previous chapters and using different particle swarm optimizers. At first the time-lapse seismic surveys of the Norne field acquired in 2001

Focus on traceability. Make sure you have the right data ahead of time, it will save you time later. Ramp and production optimization.

Manufacturing process optimization is the practice of reducing downtime and increasing output within manufacturing by streamlining operations and worksite flow. Additional …

DOI: 10.1016/j.petsci.2022.08.016 Corpus ID: 251788923; Evolutionary-assisted reinforcement learning for reservoir real-time production optimization under uncertainty @article{Wang2022EvolutionaryassistedRL, title={Evolutionary-assisted reinforcement learning for reservoir real-time production optimization under uncertainty}, …

Process mapping. One key aspect of process optimization is identifying and eliminating bottlenecks, which are any points in the manufacturing process that limit the overall …

Request PDF | Production optimization in the time of pandemic: an SIS-based optimal control model with protection effort and cost minimization | The COVID-19 pandemic wreaks havoc in supply chains ...

Real-time optimization will be demonstrated on a maturing North Sea off-shore gas production asset consisting of eight wells and two separator and compression trains.

Overview. Production optimization ultimately translates to maximizing your asset value by improving operating efficiency and lowering costs. Baker Hughes offers cost-effective chemical treatments that enhance well productivity by mitigating a myriad of operating hindrances. Whether you aim for consistent flow or optimal recovery, our carefully ...

The information flow used for optimization of an offshore oil production plant is described. The elements in this description include data acquisition, data storage, processing facility model updating, well model updating, reservoir model updating, production planning, reservoir planning, and strategic planning. Methods for well allocation, gas lift and …

to train the optimal policy for the given real-time production optimization problem. 12. Soft actor critic (SAC) (Haarnoja et al. 2018) is a state-of-the-art DRL algorithm, which has been . 13.

Ensemble-based optimization has recently received great attention as a potentially powerful technique for life-cycle production optimization, which is a crucial element of reservoir management.