Hydrocarbon Processing, the downstream processing sector’s leading technical publication for nearly 100 yr, has announced the finalists for its fifth annual HP Awards, which celebrate innovative technologies and people that have been instrumental in improving facility operations over the past year.
We live in a world increasingly driven by data scenarios for advanced analytics, predictive modeling and machine learning (ML), but how reliable is this for large oil and gas assets where safety and reliability are of paramount importance?
In downstream processing facilities, such as refineries and chemical plants, downtime is a significant source of lost revenue.
In pneumatic valve automation systems, it is common to hear the following terms for valve positions: “fail open (FO),” “fail close (FC)” and “fail last (FL)”.
Many heavy industrial plants, such as refineries and petrochemical facilities, require steam for numerous processes, including powering turbines, providing energy for a variety of unit operations and even heating buildings in some locations.
As a veteran of many capital projects once observed, “All projects execute materials management—those that do so without a plan and the appropriate resources just do it very poorly.”
Process monitoring is an indispensable practice to keep track of key performance indicators (KPIs) of the hydrogen (H2) plant.
On October 28, Hydrocarbon Processing will announce the winners of the 2021 HP Awards during a virtual streaming event.
Many refineries are experiencing new problems related to the formation of stable emulsions and poor separation due to the increased use of lower-cost opportunity crude oils that have a high total acid number (TAN), higher gravities and more sulfur content.