Neural networks help optimize solvent extraction

Hydrocarbon Processing

Volumn 77, Issue 11, 1998, Pages 45-49

  Riddle, A L ^a   Bhat, N V ^b   Hopper, J R ^c  

^a EXXONMOBIL UPSTREAM RESEARCH COMPANY   (United States)

^b Pavilion Technologies Inc   (United States)

^c LAMAR UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION CONTROL; COMPUTER SIMULATION; COMPUTER SOFTWARE; ENERGY EFFICIENCY; ENERGY UTILIZATION; PETROLEUM REFINING; QUALITY CONTROL; REFRACTIVE INDEX; SENSITIVITY ANALYSIS; SEPARATION; SOLVENT EXTRACTION; SOLVENTS;

FURFURAL SOLVENT EXTRACTION; LIGHT NEUTRAL RAFFINATE; MEDIUM NATURAL RAFFINATE; NEUTRAL STOCK;

NEURAL NETWORKS;

EID: 0032208558     PISSN: 00188190     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article

References (3)

1. Riddle, A. L., "Improved Processing and Pollution Reduction in a Solvent Extraction Process Using Neural Networks," Doctor of Engineering, Field Study, Lamar University, December 1996.
2. Pavilion Technologies, Inc., "Analyze," Process Insights Training Class Notes, Version 3.0, 1996, pp. 15-17.
3. U.S. EPA Office of Air Quality Planning and Standards, Compilation of Air Pollutant Emission Factors (AP-42), Volume 1, Tables 1.4-1, 1.4-2 and 1.4-3, 1993.