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6 APPLICATIONS OF MACHINE LEARNING IN OIL AND GAS

March 4, 2020 | 165 views

The issue of environmental sustainability is a major concern for governments and players from the oil and gas industry worldwide. The negative impacts as a result of activities carried out by oil and gas companies have been a major tool not only for the livelihood and health of people but more so to the environment, such as pollution. The risk of environmental pollution, hazards and severity can be and will be reduced with the use of machine learning and deep learning in the years to come. There has been an amazing application in chemical engineering, process safety, process control tuning, advanced dynamic and process optimization. We can see that the Oil and Gas industry when we talk about software especially machine learning solutions didn’t have any innovation in the last 15 years.

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Applied Analytics

Applied Analytics™ [AAI] is a global manufacturer of industrial process analysis instruments. aOur systems are used primarily to measure real-time chemical concentrations in liquid or gas process streams, as well as physical parameters like color, calorific value, and purity. All systems adhere to solid state design and use absorbance spectroscopy. Additionally, AAI builds custom sample conditioning per the needs of each application.

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