17938072. SYSTEM FOR PROVIDING REAL-TIME PREDICTIVE CARBON DIOXIDE CORROSION RATE MODELLING simplified abstract (Saudi Arabian Oil Company)

SYSTEM FOR PROVIDING REAL-TIME PREDICTIVE CARBON DIOXIDE CORROSION RATE MODELLING

Organization Name

Saudi Arabian Oil Company

Inventor(s)

Mohammad Ghufaili of Dammam (SA)

Mohamud M. Farah of Ras Tanura (SA)

SYSTEM FOR PROVIDING REAL-TIME PREDICTIVE CARBON DIOXIDE CORROSION RATE MODELLING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17938072 titled 'SYSTEM FOR PROVIDING REAL-TIME PREDICTIVE CARBON DIOXIDE CORROSION RATE MODELLING

Simplified Explanation

The patent application describes a system and method for real-time predictive carbon dioxide (CO2) corrosion rate modeling for an oil and gas operation facility. The system includes a modeling system that receives dynamic process input data and implements a semi-empirical real-time corrosion rate model to control the injection rate of CO2 inhibitor into the facility based on the model.

• The system provides real-time predictive modeling of CO2 corrosion rates in an oil and gas operation facility.
• The system utilizes dynamic process input data, including CO2 inhibitor residuals, to control the injection rate of CO2 inhibitor.
• The modeling system implements a semi-empirical real-time corrosion rate model to optimize corrosion control measures in the facility.

Potential Applications

The technology can be applied in various industries beyond oil and gas, such as chemical processing plants, power generation facilities, and water treatment plants.

Problems Solved

1. Predictive modeling helps prevent unexpected corrosion-related failures in equipment and infrastructure. 2. Real-time monitoring and control of corrosion rates improve the efficiency and safety of operations in the facility.

Benefits

1. Increased equipment lifespan and reduced maintenance costs. 2. Enhanced safety for personnel working in the facility. 3. Improved operational efficiency and reduced downtime due to corrosion-related issues.

Potential Commercial Applications

Optimizing corrosion control measures in oil and gas operations, chemical processing plants, power generation facilities, and water treatment plants can lead to cost savings and improved operational performance.

Possible Prior Art

One possible prior art could be traditional corrosion monitoring techniques that rely on periodic inspections and manual intervention rather than real-time predictive modeling and control systems.

How does the system handle variations in CO2 inhibitor residuals over time?

The system may need to adapt its injection control strategy based on changing inhibitor levels to maintain optimal corrosion control.

What is the impact of environmental factors on the accuracy of the corrosion rate modeling?

Factors such as temperature, pressure, and fluid composition may influence corrosion rates and need to be considered in the modeling system for accurate predictions.

Original Abstract Submitted

A system and method for providing real-time predictive carbon dioxide (CO) corrosion rate modelling for an oil and gas operation facility includes a modeling system configured to receive dynamic process input data of the oil and gas operation facility, including data relating to COinhibitor residuals of the oil and gas operation facility. The modeling system implements a semi-empirical real-time corrosion rate model and an injection control module operable to control an injection rate of COinhibitor into a component of the oil and gas operation facility based on the semi-empirical real-time corrosion rate model.