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

Information Systems

Agile supply chain planning

M3 Technology: Acuff, C.  |  Jasper, D.
Chevron Corp.: Thomas, C.  |  Tong, D.

Providing a common workspace improves data integration

Service-oriented architecture simplifies data source integration

Infosys Consulting: Samdani, K.

Here's how the approach helps refinery scheduling and also contributes to business-wide SOA adoption

Predicting octane numbers for gasoline blends using artificial neural networks

Iran University of Science and Technology: Pranghooshi, E.  |  Sadeghi, M. T.
Sahand Univerity of Technology: Shafiei, S.

The ANN models were more accurate than regression models

Implementing and maintaining advanced process control on continuous catalytic reforming

Kuwait National Petroleum Corporation (KNPC): Al-Majed, A.  |  Kaushal, S.
Aspen Tech Middle East (ATME): Banerjee, P.

The primary benefit was an increase in reformate octane barrel yield from operating the plant at its economic constraints

Computational fluid dynamics simulation of solid–liquid slurry flow

National Institute of Technology: Ghanta, K. C.  |  Lahiri, S. K.

The resulting model's predictions showed reasonably good agreement with the experimental data

Genetic algorithm tuning improves artificial neural network models

National Institute of Technology: Ghanta, K. C.  |  Lahiri, S. K.

The technique is illustrated by predicting hold-up of slurry flow in pipelines

Align HPI operations to economics

Clifftent Inc.: Latour, P. R.

Clifftent optimizes risky tradeoffs at limits

Predicting important parameters using artificial neural networks

Gujarat Refinery, Indian Oil Corporation Limited: Ramakumar, K. R.

Consider them for complex nonlinear processes

Redesign of a compressor antisurge control loop using dynamic simulation

Bechtel India Pvt Ltd.: Chittibabu, H.  |  Kostjuhin, I.  |  Valli, A.

The new design solved the two-phase flow problem

Process modeling and optimization strategies integrating neural networks and differential evolution

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

The technology was applied to an ethylene oxide reactor