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IAC's Technologies Reduce Data Overload

IAC leverages U.S. Department of Defense (DOD) technologies, such as machine learning and associate systems, which have been proven to work in demanding situations like Unmanned Combat Air Vehicles and in the National Security Agency.

Data overload is an increasingly common problem in the oil industry.  Through R&D funded by several major operators and service companies, IAC has developed pattern recognition technologies for detecting abnormal conditions in the continuous data streams generated by today’s intelligent completion wells. 

IAC's agents integrate data, models, and knowledge to make sense of the data produced by today's sensors. Because intelligent agents can operate continuously and tirelessly, operators do less menial work and can focus on tasks that require "thinking."

Monitor – Assess – Recommend – Explain

Intelligent agent systems perform four key functions, continuously and tirelessly. They...

• Monitor the situation by collecting data
• Assess the meaning of these data
• Recommend actions for correcting problems and responding to threats
• Explain their assessment results and recommendations.

Agents Provide Capabilities Far Beyond Conventional Approaches

An intelligent agent provides capabilities far beyond conventional information technology.  First developed for demanding military applications, agents overcome the shortcomings of not-quite-good-enough technologies like neural nets, which may stop working for reasons that are not understood because they are “a black box.”

Even in the best of circumstances some of the data for a well may be out of date, incorrect, or missing altogether.  IAC's agents accommodate these data shortfalls using check-and-balance algorithms that are invoked when data are gathered and integrated.  IAC’s agents work even when the data are not perfect. 

Agents Integrate in All Data Environments

Operating companies use a variety of databases, models, communication protocols, and applications from many vendors.  IAC’s products can be integrated with your databases and models in a vendor-neutral way. Because IAC's agents use machine-learning algorithms, they can be adapted to accommodate an organization's unique data environments without extensive rewriting of code and rules.