Application of artificial intelligence and reliability engineering in productivity improvement in oil, gas and mining operations.
We are focussed on designing and implementing PRACTICAL digital applications for the industry, supported on Artificial Intelligence, Engineering Practices and Visualization, to improve operating costs and enrich decision making.
We have three areas of work that can be implemented in a standalone manner, or integrated, depending upon the needs of the client.
This is an architecture that incorporates 12 proved successful subprocesses, assembled in an interdependent arrangement, and each subprocess is configured to support sound process safety, humans safety and productivity, all oriented to provide necessary data, to support using Artificial Intelligence (AI) tools, as part of Integrated Digital Platforms.
This is an integrated software application that comprises algorithms to support Big Data processing, Analytics and Visualization, oriented towards root cause failure analysis, predictions of failure and process deviations and data segmentation for visual analysis.
I-Optia's Digital Twins offer enhanced real time information regarding predictions and prescriptions of process deviations, equipment degradation, or failures, in addition to engineering or other process related information.This functionality presents a powerful too to support critical functions on process safety, optimized operations, and decision making. Key information isreadily available to ope-rators, reliability engineers, equipment engineers, managers, and others.
It is an integrated software application designed to create value out of 9 interdependent subprocesses configured to improve the reliability of SCM, as well as, providing data to support using Artificial Intelligence (AI) tools, as part of Integrated Digital Platforms.
While technology has powerful capabilities to enable visible increases in revenue by improving Operational Costs, via business data analysis with AI technology, the actual state of physical assets in terms of sensors, data available and operational performance, are in many cases behind the requirements to realize such a full potential.
The fundamental objectives of an Asset Management System (AMS), Reliability and Integrity of Safety Critical Elements (SCE) and Productivity Critical Elements (PCE), are improved significantly when applying Artificial Intelligence (AI) tools to performance data, from the Process Control Network (PCN), integrated with data resulting from Computerized Maintenance Management Systems (CMMS), which needs to be configured with robust Inspection, Testing and Maintenance Programs (ITPM).
Plant data processing with AI technologies enables a holistic approach to investigations of process deviations or equipment failures. These comprehensive analyses quickly reveal Systemic Root Causes (SRC), as well as, typical (in some cases evident) Discreet Root Causes (DRC).
A holistic approach, that covers all process functional blocks, is fundamental for effective risk management, as well as, energy and reliability optimization. IOPTIA products facilitate this approach.
Asset Integrity is a critical foundation for Process Safety, Humans Safety, Environment Protection and Productivity. Understanding asset degradation mechanisms is of paramount importance to address Systemic Root Causes (SRC´s) that affect multiple functional blocks and end up causing high impact events.
Ai-RElia-BDt allows real time monitoring and visualizing of parameters associated to SRC´s, which have strong correlations with the predicted problem. This is key to identify prescriptive actions to avoid or mitigate occurrence of asset degradation events.
Ai-RElia-BDt allows real time monitoring and visualizing of parameters which have strong correlations with engine degradation. This is key to identify prescriptive actions to mitigate engine degradation. This lead to less fuel consumption, less emissions and better availability over the entire fleet.
Early projects focussed, on immediate high impact operational challenges, permit achieving visible savings to demonstrate tangible benefits of using the technology. This is key for gaining management and workforce commitment.
Integrated AI+Reliability are a powerful resource to reduce operating costs, improve availability and productivity of industrial plants.Contact Us
i-Optia solutions are based on the combination of Big Data Systems, Advanced Analytics and Visualization technologies, with expertise on Process, Reliability, Facilities, Operations and Maintenance Engineering, to capture early wins, as well as, developing a route map for Digital Transformation focussed primarily on Value Creation. .
CEO & General Manager
Sales & Marketing Manager
AI & Robotics Manager
Data Science Manager
IT & Developer Manager
See how early applications of Ai-RELia-BDt have helped to achieve quick wins and better understanding the route map for digital transformation.
A large hydrometallurgy cooper production plant in South America wanted to improve SAG mills energy efficiency, which was among the top five operating costs. The client decided to conduct a pilot project to deal with this problem and test the capabilities of Ai-Relia-BDt. Process data of ten months of operation, stored in the DCS, were provided for the analyses.
A large offshore platform in the Scottish North Sea had suffered chronic non-planned shutdowns, caused by frequent failures in the cooling system, induced by severe vibrations.
The reliability team decided to use Ai-Relia-BDt to explore possible contributing factors to the problem.
The problem had affected the installation since start up, and over nearly five years. Previous analyses focussed mostly on the machines, with limited success to correct the failures.
The company reliability team decided to try Artificial Intelligence technology to shed more light over the issues.
The trucks had typical Machine Health Monitoring Systems (MHMS), which collected robust data on engine and electrical system parameters, however this data had not helped to mitigate the problem. Even more, operating practices were closely monitored, and no real value opportunity had been identified in this aspect.
We thrive when coming up with innovative ideas but also understand that a smart concept should be supported with measurable results.
Office Address 1:
Calle 187 Bis # 20-45 Of I2-301
Phone Number (+57) 301 542 0537
Office Address 2:
1855 Rue Therrien 107aBrossard, QC, Canada.
Phone Number (+1) 514 553 9751
9:00AM To 6:00PM