MICROORGANISM INFLUENCED CORROSION PREDICTION

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MICROORGANISM INFLUENCED CORROSION PREDICTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18153076 titled 'MICROORGANISM INFLUENCED CORROSION PREDICTION

The abstract describes a method that involves inputting operating conditions for a physical asset into a microbiologically influenced corrosion (MIC) prediction model, along with a plurality of biomarkers identifying different species of microorganisms. The model is used to determine the likelihood of growth of specific microorganisms based on the operating conditions and biomarkers, and to devise a mitigation strategy to prevent their growth within the asset.

Input operating conditions and biomarkers into MIC prediction model
Determine likelihood of microorganism growth based on inputs
Devise mitigation strategy to prevent growth within physical asset

Potential Applications: - Oil and gas industry for predicting and preventing MIC in pipelines - Water treatment facilities to control microbial corrosion in infrastructure

Problems Solved: - Predicting and preventing microbiologically influenced corrosion in physical assets - Identifying specific microorganisms that may cause corrosion

Benefits: - Extending the lifespan of physical assets - Reducing maintenance costs associated with corrosion

Commercial Applications: Title: "Microbiologically Influenced Corrosion Prediction and Prevention Technology" This technology can be utilized in various industries such as oil and gas, water treatment, and infrastructure management to predict and prevent microbiologically influenced corrosion, leading to cost savings and improved asset longevity.

Questions about Microbiologically Influenced Corrosion Prediction and Prevention Technology: 1. How does this technology differ from traditional methods of corrosion prevention? - This technology incorporates biomarkers and operating conditions to predict and prevent microbiologically influenced corrosion, offering a more targeted approach compared to general corrosion prevention methods.

2. What are the key challenges in implementing this technology in different industries? - One of the challenges is the need for industry-specific calibration of the MIC prediction model to accurately assess the risk of microbial corrosion in different types of physical assets.

Original Abstract Submitted

A method can be performed by a computer system, the method can include inputting into a microbiologically influenced corrosion (MIC) prediction model one or more operating conditions for a physical asset in a production field; inputting into the MIC prediction model a plurality of biomarkers, each of the plurality of biomarkers uniquely identifying one species of microorganism from a plurality of species of microorganisms; determining, from the MIC prediction model, a likelihood of growth of one or more species of microorganisms from the plurality of species of microorganisms based on the one or more operating conditions for the physical asset and the plurality of biomarkers; and determining, from the likelihood of the growth of one or more species of microorganisms, a mitigation strategy for preventing growth of each of the one or more species of microorganisms within the physical asset.