Production plans at oil refineries do not always survive contact with the plant floor. Changes in feedstock quality, operating rates or equipment conditions can cause units to perform differently from planning models, affecting yields, product quality and energy consumption and forcing engineers to make manual adjustments during operations.
Industrial artificial intelligence models aim to narrow that gap by combining engineering knowledge with actual operating data, according to Hussein Zein, Emerson's vice president for Saudi Arabia and Bahrain.