Education
The Petroleum Refining Library team conducts a training sessions aimed at an in-depth study by Oil & Gas company
specialists of the basic fundamentals and advanced capabilities needed to build and use digital twin models in the field of Oil &
Gas refining. Below is an example of a program for 2024 The program structure can be changed to meet custome requirements as.
specialists of the basic fundamentals and advanced capabilities needed to build and use digital twin models in the field of Oil &
Gas refining. Below is an example of a program for 2024 The program structure can be changed to meet custome requirements as.
Program Petroleum Refining Library for Anylogic (5 days)
Day 1 Introduction to Java and Anylogic
The possibilities of AnyLogic, which are necessary for building digital counterparts in the field of oil and gas, are discussed. A detailed analysis of the practice of using the Agent, Presentation, Fluid Library, and several other libraries is carried out. The possibilities and limitations of each of the library agents are considered. Practical examples of their use are provided. The Java basics necessary for building digital twin models in the field of oil and gas refining are discussed. Variables and arrays, methods and classes, collections, streams, and many other Java elements essential for creating effective models in AnyLogic are examined.
Day 2 The main refining processes in oil and gas, along with the mathematical modeling of these processes
A detailed analysis of the existing Oil & Gas refining processes is provided. Typical technological schemes of processing plants in
the Oil & Gas industry are presented. The material balance is discussed. Fracking processes and their application in oil and gas
refining are examined. The concept of installation is introduced. The main parameters of plants used in Oil & Gas processing are
outlined. Other processing methods are also covered. The fundamentals of mathematical modeling of processing processes are explored. The concept of an optimal solution is defined. Typical optimization tasks in Oil & Gas refining are identified. Combined simulation and optimization models in the oil and gas sector are discussed.
Day 3 Petroleum Refining Library in Anylogic (part 1)
Analysis of the possibilities of the Petroleum Refining Library in modeling Oil & Gas refining processes. This includes a description of the agents: Source, Separator, Separator Light, Mixer Light, Mixer, and Optimizer. Additionally, it discusses the practice of using these agents to solve various problems in the oil and gas industry.
Day 4 Petroleum Refining Library in Anylogic (part 2)
Analysis of the advanced capabilities of the Petroleum Refining Library in modeling Oil & Gas refining processes. Description of the Plant, Reservoir Park, RpAccumulative, and RpFlowing agents. The practice of using these agents in solving various problems of oil and gas.
Day 5 Practice using and cases
Analysis of the main tasks of Oil & Gas refining that can be solved using PRL. The use of PRL in assessing the impact on the production balance of Oil & Gas processing plants due to the construction of new installations. The use of PRL in evaluating the impact on the production balance of Oil & Gas processing plants. The use of PRL in evaluating optimal options for pumping, compounding, and certification of products in several parallel tank farms.
If you are interested in training services, please contact us.
The possibilities of AnyLogic, which are necessary for building digital counterparts in the field of oil and gas, are discussed. A detailed analysis of the practice of using the Agent, Presentation, Fluid Library, and several other libraries is carried out. The possibilities and limitations of each of the library agents are considered. Practical examples of their use are provided. The Java basics necessary for building digital twin models in the field of oil and gas refining are discussed. Variables and arrays, methods and classes, collections, streams, and many other Java elements essential for creating effective models in AnyLogic are examined.
Day 2 The main refining processes in oil and gas, along with the mathematical modeling of these processes
A detailed analysis of the existing Oil & Gas refining processes is provided. Typical technological schemes of processing plants in
the Oil & Gas industry are presented. The material balance is discussed. Fracking processes and their application in oil and gas
refining are examined. The concept of installation is introduced. The main parameters of plants used in Oil & Gas processing are
outlined. Other processing methods are also covered. The fundamentals of mathematical modeling of processing processes are explored. The concept of an optimal solution is defined. Typical optimization tasks in Oil & Gas refining are identified. Combined simulation and optimization models in the oil and gas sector are discussed.
Day 3 Petroleum Refining Library in Anylogic (part 1)
Analysis of the possibilities of the Petroleum Refining Library in modeling Oil & Gas refining processes. This includes a description of the agents: Source, Separator, Separator Light, Mixer Light, Mixer, and Optimizer. Additionally, it discusses the practice of using these agents to solve various problems in the oil and gas industry.
Day 4 Petroleum Refining Library in Anylogic (part 2)
Analysis of the advanced capabilities of the Petroleum Refining Library in modeling Oil & Gas refining processes. Description of the Plant, Reservoir Park, RpAccumulative, and RpFlowing agents. The practice of using these agents in solving various problems of oil and gas.
Day 5 Practice using and cases
Analysis of the main tasks of Oil & Gas refining that can be solved using PRL. The use of PRL in assessing the impact on the production balance of Oil & Gas processing plants due to the construction of new installations. The use of PRL in evaluating the impact on the production balance of Oil & Gas processing plants. The use of PRL in evaluating optimal options for pumping, compounding, and certification of products in several parallel tank farms.
If you are interested in training services, please contact us.
