Refining
2022 HP Awards Finalists
<em>Hydrocarbon Processing</em>, the downstream processing sector’s leading technical publication for 100 yr, has announced the finalists for its sixth annual <em>HP</em> Awards, which celebrate innovative technologies and people that have been instrumental in improving facility operations over the past year.
A successful case of resid-to-propylene maximization using premium catalyst technology
The world has experienced profound changes throughout the global disruption created by the COVID-19 pandemic.
ASTM D5453 vs. D7039 and the importance of oxygen correction for B100 samples
The use of biodiesel is rapidly becoming more popular due to growing trends both inside and outside the petroleum industry.
Petrobras to release new strategic plan in November
Part of the future investment will also be focused in areas such as decarbonization and renewable energies.
U.S. imposes new sanctions on Iran oil exports, targets Chinese firms
The United States imposed sanctions on companies it accused of involvement in Iran's petrochemical and petroleum trade, including five based in China, pressuring Tehran as it seeks to revive the 2015 Iran nuclear deal.
What is the Top Refining project of 2022?
It's that time of year again! We are asking our global reach of refining and petrochemical professionals to vote on the top projects of the year.
AFPM, API joint statement on White House, DOE meeting with U.S. refiners
The American Fuel & Petrochemical Manufacturers (AFPM) and American Petroleum Institute released the following statement after a meeting with leaders of the top U.S. refining companies.
Technip Energies announces award for contract FEED for INEOS’ project
Technip Energies has been awarded a large contract for the proprietary equipment supply for INEOS Olefins Belgium NV’s 1,450,000 tpy ethane cracker in Antwerp, Belgium.
Business Trends: Innovative approaches to manufacture base oils gain customers’ attention
For years, lubricating greases and motor oils have been manufactured from base oils.
Data, algorithms and collaboration combine for machine-learning success
Process manufacturers are investing significant resources in machine-learning (ML) to increase reliability, profitability and sustainability in their operations—saving millions of dollars in short periods of time through increased efficiency.
- Digital Exclusive: Root cause analysis on hydrochloric acid corrosion in a diesel hydrotreater unit 12/16
- Digital Feature: Enabling growth through strategic cost optimization for petrochemical and refining companies 12/16
- Rohm awards NextChem feasibility study for PMMA-polymer chemical recycling plant project 12/16
- Westlake to rationalize certain North American chlorovinyl and styrene assets 12/16
- CMB.TECH invests in Chinese ammonia supply 12/16
- Petrovietnam, BASF cooperate in developing green methanol, pioneering the energy transition 12/16
