Environment & Safety Gas Processing/LNG Maintenance & Reliability Petrochemicals Process Control Process Optimization Project Management Refining

Analyzers

Better control-loop management lowers energy costs

LyondellBasell: Lang, L.  |  Montes, G.
Equistar: Mahlstadt, J. R.

This petrochemical producer found improved output and became more energy efficient through new software

HP Innovations: HPInnovations

Product line extended on process gas compressors API 618Burckhardt Compression introduced its extended range of process gas compressors, enabling the company to offer a cost-effective compressor solut..

Minimize carbon footprint from Claus tail-gas units

Linde AG: Heisel, M.
WorleyParsons: Rameshni, M.

Reevaluate emissions efficiencies on sulfur-removal operations

Avoid these risks concerning combustion control in fired heaters

Servomex: Jenkins, R.

Tuneable diode laser analyzers offer diagnostic benefits

Use online analyzers for successful monitoring

Michell Instruments Ltd.: Benton, A.
PDVSA: Valiz, C.

Improved analytics measure moisture and dew points for natural gas components

When is CO2 more hazardous than H2S

Trimeric Corp.: Beitler, C. M.  |  Fisher, K.  |  McIntush, K.  |  Lundeen, J.
Pastor, Behling & Wheeler LLC: Tyndall, K.

Data shows potential harmful effects to workers due to acid gas exposure

Consider different alternatives for enriching lean acid gases

Ministry of Science, Research and Technology, Semnan University: ZareNezhad, B.

New developments improve operation of Claus sulfur recovery units

What are the strategies for sustainable chemical production?

Special Secretary to Government of Kerala, and Chairman, Chemical Engineering Division Board of the Institution of Engineers: Nair, M. P. Sukumaran

New environmental challenges require a new way of thinking by the hydrocarbon processing industry

Considerations for blast-resistant electrical equipment centers

Lectrus Corp.: Cole, D.  |  Austin, D.

Guidelines explore protecting critical systems from disaster

Development of support vector regression-based soft sensor

National Institute of Technology: Khalfe, N.  |  Lahiri, S. K.

Application was used in a commercial ethylene glycol plant