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Oil & Gas well emulation using Logix AI

Leverage Logix AI to integrate synthetic Oil & Gas well data to develop representative models that can be deployed in Studio 5000 and Logix Echo for virtual commissioning and performance representation of the well. - [Implementation time: 60 minutes]
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Artificial Intelligence has become a key enabler in today’s Oil & Gas industry, particularly under market conditions characterized by volatile oil prices and increasing pressure to reduce operating costs and energy consumption. AI-based solutions support both onshore and offshore operations by optimizing energy efficiency, improving throughput in surface processing equipment and wells, and enhancing production quality through better control of parameters such as Basic Sediment and Water (BSW).


In this context, the development of predictive models for inferential sensors is a strategic approach to improve real-time monitoring and decision-making. These models enable the estimation of critical production and reservoir variables—including oil volume, total liquid rate, gas volume, water cut, dynamic fluid level, and reservoir pressure—without relying exclusively on physical sensors, thereby reducing CAPEX, OPEX, and operational risk while maintaining production reliability.

 

What is this for?

The emulation of the Oil Volumen, in a Oil & Gas well is very important because it will be used to virtual commissioning and performance representation of the well, and scenarios like a sand box for operator training. The implementation use the model of a Logix AI for the oil volume representation, FT Studio 5000 for the emulation and FT Logix Echo to represent the controller.

 
 
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Downloads

Please note: You will need to agree to the Terms & Conditions for each download.

Downloadable file ›
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Need Help?

If you need help with an application or have feedback from the Innovation Center, please contact us.

 

General Characteristics

An emulation of an Oil & Gas well, with a focus on Oil Volume, offers the following characteristics:

  • The identification of VOI is the Oil Volume in [m3/day]
  • The selection of Input 1 is Volume of liquid [m3/day]
  • The selection of Input 2 is Gas Volume [m3/day]
  • The selection of Input 3 is Gas volume Water volume [m3/day]

Advantages

  • Shows the use of Logix AI
  • Speeds up the virtual commissioning and performance of the Oil Volumen in oil and gas wells.
  • Exhibits scalability and repeatability to adapt to various industrial environments.
  • Allow agile and precise modifications according to changing needs.
  • Optimize performance in terms of efficiency and productivity.
 

Is this useful for me?

The Oil Volume prediction using Logix AI is util, because will be use with to emulate a virtual commissioning and Oil Volume performance.

How can I make it work?

Requirements: products, tools, prior knowledge.

Hardware

  • 1756-L85EP 
 

Software

  • GasStudio5000 (V37)
  • FactoryTalk Logix Echo Version 3.00.00
  • FT Logix AI FactoryTalk® Analytics LogixAI ® 
 

Previous Knowledge:

  • Products: Logix AI , Studio 5000 and LogixEcho
  • Tools: Studio 5000, FT LogixEcho and FT Logix AI
 

Links of Interest (internal or external)

 
 
 
 
 
 
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Implementation Guide

 
Open All Close All
Step 1
 

Review the historical synthetic data a .xlm file

 
oil-gas-well-emulation-using-logix-ai_1_Historical_Synthetic_Data_Oil_and_Gas_Well.png

oil-gas-well-emulation-using-logix-ai_1_Historical_Synthetic_Data_Oil_and_Gas_Well.png

Step 2
 

Open the Logix AI portal.

oil-gas-well-emulation-using-logix-ai_2_Open_Logix_AI.png

oil-gas-well-emulation-using-logix-ai_2_Open_Logix_AI.png

Step 3
 

Select “Conduct Experimental”, highlighted in blue

oil-gas-well-emulation-using-logix-ai_3_Create_an_Experimental_Model_ highlighted in blue.png

oil-gas-well-emulation-using-logix-ai_3_Create_an_Experimental_Model_ highlighted in blue.png

Step 4
 
 

Select “template”, highlighted in blue.

oil-gas-well-emulation-using-logix-ai_4_template_highlighted_in_blue.png

oil-gas-well-emulation-using-logix-ai_4_template_highlighted_in_blue.png

Step 5
 

Review the file “template.csv”.

oil-gas-well-emulation-using-logix-ai_5_template_csv_file.png

oil-gas-well-emulation-using-logix-ai_5_template_csv_file.png

Step 6
 

Take the data from de Historical_Sintetic_Data_Oil_&_Gas_Well and replace in template file the changes done, will be like this:

oil-gas-well-emulation-using-logix-ai_6_6_ data_from_de_Historical_Sintetic_Data_Oil_and_Gas_Well.png

oil-gas-well-emulation-using-logix-ai_6_6_ data_from_de_Historical_Sintetic_Data_Oil_and_Gas_Well.png

Step 7
 

Save the File, like “Oil_Gas_Well_Logix_AI”.

oil-gas-well-emulation-using-logix-ai_7_ Oil_Gas_Well_Logix_AI.png

oil-gas-well-emulation-using-logix-ai_6_6_ data_from_de_Historical_Sintetic_Data_Oil_and_Gas_Well.png

Step 8
 

Select the file CHOOSE, the Logix AI platform will be look like, this:

oil-gas-well-emulation-using-logix-ai_8_ Select the file CHOOSE, the Logix AI platform will be look like this.png

oil-gas-well-emulation-using-logix-ai_8_ Select the file CHOOSE, the Logix AI platform will be look like this.png

Step 9
 

Name the file “Oil_Gas_Well_Logix_AI” and select “Begin Experiment” highlighted in blue.

oil-gas-well-emulation-using-logix-ai_9 Begin Experiment.png

oil-gas-well-emulation-using-logix-ai_9 Begin Experiment.png

Step 10
 

The Logix AI Experiment| Oil_Gas_Well_Logix_AI, will be look like this:

oil-gas-well-emulation-using-logix-ai_10_The Logix AI Experiment.png

oil-gas-well-emulation-using-logix-ai_10_The Logix AI Experiment.png

Step 11
 

Information

oil-gas-well-emulation-using-logix-ai_11_Information_Contributing.png

oil-gas-well-emulation-using-logix-ai_11_Information_Contributing.png

Step 12
 

Information

oil-gas-well-emulation-using-logix-ai_12_Information_Not_Contributing.png

oil-gas-well-emulation-using-logix-ai_12_Information_Not_Contributing.png

Step 13
 

Calculation view

oil-gas-well-emulation-using-logix-ai_13_Calculation_View.png

oil-gas-well-emulation-using-logix-ai_13_Calculation_View.png

 
 
 
 
 
oil-gas-well-emulation-using-logix-ai_1_Historical_Synthetic_Data_Oil_and_Gas_Well.png

oil-gas-well-emulation-using-logix-ai_1_Historical_Synthetic_Data_Oil_and_Gas_Well.png
oil-gas-well-emulation-using-logix-ai_2_Open_Logix_AI.png

oil-gas-well-emulation-using-logix-ai_2_Open_Logix_AI.png
oil-gas-well-emulation-using-logix-ai_3_Create_an_Experimental_Model_ highlighted in blue.png

oil-gas-well-emulation-using-logix-ai_3_Create_an_Experimental_Model_ highlighted in blue.png
oil-gas-well-emulation-using-logix-ai_4_template_highlighted_in_blue.png

oil-gas-well-emulation-using-logix-ai_4_template_highlighted_in_blue.png
oil-gas-well-emulation-using-logix-ai_5_template_csv_file.png

oil-gas-well-emulation-using-logix-ai_5_template_csv_file.png
oil-gas-well-emulation-using-logix-ai_6_6_ data_from_de_Historical_Sintetic_Data_Oil_and_Gas_Well.png

oil-gas-well-emulation-using-logix-ai_6_6_ data_from_de_Historical_Sintetic_Data_Oil_and_Gas_Well.png
oil-gas-well-emulation-using-logix-ai_7_ Oil_Gas_Well_Logix_AI.png

oil-gas-well-emulation-using-logix-ai_7_ Oil_Gas_Well_Logix_AI.png
oil-gas-well-emulation-using-logix-ai_8_ Select the file CHOOSE, the Logix AI platform will be look like this.png

oil-gas-well-emulation-using-logix-ai_8_ Select the file CHOOSE, the Logix AI platform will be look like this.png
oil-gas-well-emulation-using-logix-ai_9 Begin Experiment.png

oil-gas-well-emulation-using-logix-ai_9 Begin Experiment.png
oil-gas-well-emulation-using-logix-ai_10_The Logix AI Experiment.png

oil-gas-well-emulation-using-logix-ai_10_The Logix AI Experiment.png
oil-gas-well-emulation-using-logix-ai_11_Information_Contributing.png

oil-gas-well-emulation-using-logix-ai_11_Information_Contributing.png
oil-gas-well-emulation-using-logix-ai_12_Information_Not_Contributing.png

oil-gas-well-emulation-using-logix-ai_12_Information_Not_Contributing.png
oil-gas-well-emulation-using-logix-ai_13_Calculation_View.png

oil-gas-well-emulation-using-logix-ai_13_Calculation_View.png
 
 

Oil Gas Well Emulation Using Logix AI

Version 1.0 - May 2026

 
 
 
 
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