Profit Optimization VIA Process Enhancement through A.I. Controllers

In today's market businesses are always trying to find ways to keep up with the escalating economic model of supply and demand. To do this, they either need to improve on their product to make sales higher or find ways to cut down on the money and material used to make that product. This could be accomplished by savings millions, if not billions, using total quality management and artificially intelligent controllers. Even with the ever-growing popularity of total quality management, and the introduction of it in to some of the bigger corporations, not all businesses have adopted its methods. In 2005 it was said that only around 5% - 25% of all petroleum companies worldwide implemented some form of quality management. However, today it is recorded that around 40% of all oil and gas companies do implement some sort of quality management. For years companies have been investing money into the research and development of Artificial Intelligence (A.I.) and attempting to implement this technology into their processes and distribution methods. A few companies who have been successful with this undertaking are companies like Spotify, Facebook and Netflix. These companies use a series of complex algorithms and artificial intelligence to learn your preferences, so whatever your preferences are, those can be the first things seen on your newsfeed when you log in. Hypothetically, it is possible that the petroleum companies could also use this sort of technology to regulate and maintain their processes during the refinement stages, making the overall efficiency of the process/production increase. If an A.I. could manage production processors that could automatically time and adjust parameters for flow, pressure, liquid levels, temperature, and chemical compositions; then, time, man-power, and materials used could be cut down, and production increased.