Artificial intelligence (AI) has caused a significant buzz not only within the hydrocarbon processing industry but also in everyday activities.
Last month, Hydrocarbon Processing presented its mid-year market update to a global audience.
Conventionally, carbon steel material has been widely used around the globe for the fabrication of static equipment—such as tall towers, vessels, heat exchangers, etc.—for less-corrosive service.
U.S. Gulf Coast margins increased, supported by unplanned refinery outages that limited a stronger recovery in run rates and kept product outputs relatively supressed.
In process plants, many instances of level control are required to keep the material balance of the plant from integrating to undesired operating conditions.
Due to growing global environmental awareness in recent decades, the petrochemical industries have been seeking more cost-effective construction solutions.
Gulf Energy Information’s Global Energy Infrastructure database is tracking nearly 1,100 projects around the world.
Production requirements for more valuable refined products and/or increased refining flexibility are increasing due to new regulations.
Linear programming (LP) for blending. LP is an optimization model that can be used to good advantage despite the highly nonlinear characteristics of the fluid flow-cash flow model.
It has been a long time since I graduated with my engineering degrees, but I feel qualified to discuss them after many years in industry.