Abstract A set of indicators that incorporate environmental, societal, and economic sustainability were developed and used to investigate the sustainability of different waste water treatment technologies, for plant capacities of <5 million gallons per day (MGD) or 18.9×103 (m3/day). The technologies evaluated were mechanical (i.e., activiated sludge with secondary treatment), lagoon (facultative, anaerobic, and aerobic), and land treatment systems (e.g., [...]

Introduction Engineering teams face a number of challenges while recovering fields and increasing capacity. Promoting integration and communication between disciplines is very useful to properly assess the performance of process facilities under normal and abnormal operation and, most importantly, to avoid the risk of unnecessary costs. The traditional approach is basically to assess and model […]

Objective In this article Optimize Global Solutions presents a thorough review of how to quantitatively model key refinery processes for the crude distillation unit with an objective to balance the business needs and technology tools via the use of data science, machine learning, deep learning methods to provide an insight into operational agility to ensure […]

Machine learning and deep learning (ML) is an umbrella term that covers many things. In strict sense, it is using computer programs to do what intelligent humans could do, and often doing it even better. Artificial intelligence is also called cognitive science, which is the most popular computer science course now in USA and Europe […]