Real-Time Production Optimization - Applying a Digital Twin Model to Optimize the Entire Upstream Value Chain

2019 ◽  
Author(s):  
Bob Okhuijsen ◽  
Kevin Wade
Keyword(s):  
Real Time ◽  
Value Chain ◽  
Production Optimization ◽  
Time Production ◽  
Digital Twin ◽  
Twin Model

Engineering Workflows Provide Integrated Operations and Streamline Real-Time Production Optimization

2011 ◽  
Author(s):  
Sebastiano Barbarino ◽  
Salvador Sarmiento Mendoza ◽  
Romel Cuadras ◽  
Jose Gerardo Suarez ◽  
Mailing Hung ◽  
...  
Keyword(s):  
Real Time ◽  
Production Optimization ◽  
Time Production ◽  
Integrated Operations

Samotlor: Implementation of Real Time Production Optimization Process for the Largest Russian Oil Field

2011 ◽  
Author(s):  
Sergey Shevchenko ◽  
Dmitry Mironov ◽  
V.A. Navozov ◽  
Eduard Muslimov ◽  
Roman Leonidovich Pchelnikov ◽  
...  
Keyword(s):  
Real Time ◽  
Production Optimization ◽  
Oil Field ◽  
Optimization Process ◽  
Time Production

scholarly journals Construction of Intelligent Integrated Model Framework for the Workshop Manufacturing System Via Digital Twin

2021 ◽  
Author(s):  
Zhongyu Zhang ◽  
Zhenjie Zhu ◽  
Jinsheng Zhang ◽  
Jingkun Wang
Keyword(s):  
Real Time ◽  
Production System ◽  
Manufacturing System ◽  
System Optimization ◽  
Production Cycle ◽  
Model Framework ◽  
The Real ◽  
Digital Twin ◽  
Twin Model ◽  
Information Layer

Abstract With the drastic development of the globally advanced manufacturing industry, transition of the original production pattern from traditional industries to advanced intelligence is completed with the least delay possible, which are still facing new challenges. Because the timeliness, stability and reliability of them is significantly restricted due to lack of the real-time communication. Therefore, an intelligent workshop manufacturing system model framework based on digital twin is proposed in this paper, driving the deep inform integration among the physical entity, data collection, and information decision-making. The conceptual and obscure of the traditional digital twin is refined, optimized, and upgraded on the basis of the four-dimension collaborative model thinking. A refined nine-layer intelligent digital twin model framework is established. Firstly, the physical evaluation is refined into entity layer, auxiliary layer and interface layer, scientifically managing the physical resources as well as the operation and maintenance of the instrument, and coordinating the overall system. Secondly, dividing the data evaluation into the data layer and the processing layer can greatly improve the flexible response-ability and ensure the synchronization of the real-time data. Finally, the system evaluation is subdivided into information layer, algorithm layer, scheduling layer, and functional layer, developing flexible manufacturing plan more reasonably, shortening production cycle, and reducing logistics cost. Simultaneously, combining SLP and artificial bee colony are applied to investigate the production system optimization of the textile workshop. The results indicate that the production efficiency of the optimized production system is increased by 34.46%.

Optimization of Well Placement in Real-Time Production Optimization of Intelligent Fields with Use of Local and Global Methods

2014 ◽  
Author(s):  
Cenk Temizel ◽  
Suryansh Purwar ◽  
Karelis Urrutia ◽  
Azer Abdullayev ◽  
Farashiki Md Adnan ◽  
...  
Keyword(s):  
Real Time ◽  
Production Optimization ◽  
Well Placement ◽  
Time Production

Real Time Prediction of Li-Ion Battery Pack Temperatures in EV Vehicles

2020 ◽  
Author(s):  
Azita Soleymani ◽  
William Maltz
Keyword(s):  
Real Time ◽  
Heat Generation ◽  
Equivalent Circuit Model ◽  
Battery Pack ◽  
Generation Rate ◽  
Li Ion Battery ◽  
Heat Generation Rate ◽  
Digital Twin ◽  
Twin Model ◽  
Li Ion

Abstract A semi-analytical digital twin model of a 90 kW.h li-ion battery pack was developed to capture thermal behavior of the pack in a real-time environment. The solution uses reduced-order models that minimize compute cost/time yet are accurate in predicting real-world operation. The real-time heat generation rate in the battery pack is calculated using 2RC equivalent circuit model. A series of HPPC tests were conducted to calibrate the equivalent circuit model in order to accurately calculate heat generation rate as a function of SOC, temperature, current, charge/discharge mode and pulse duration. In the paper, live-sensor data was integrated into the digital twin system level model of the battery pack to create a real-time environment. The generated tool was utilized to monitor the real-time temperature of the battery pack remotely and have a predictive maintenance solution. The model results for heat generation rate, terminal voltage, and temperature were found to be consistent with the test data across a wide range of conditions. The generated model was used to accelerate battery pack design and development by enabling the evaluation of design feasibility and to conduct in-depth root causes analyses for various inputs and operating conditions, including initial SOC, temperature, coolant flow rate, different charge and discharge profiles. The resulting digital twin model provides additional data that cannot be measured offering the EV industry an opportunity to improve its safety record.

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