COURSE OBJECTIVES FUNDAMENTALS OF OIL REFINERY ECONOMICS OVERVIEW OF DECISION SUPPORT SYSTEMS AND INFORMATION SOURCES

LEVEL 1 REAL TIME APPLICATIONS

• Real time data base
• Real time process data validation Condition monitoring
• Operating windows
• Field robotics and sequential automation

LIMS, IN-LINE LABORATORY PRODUCTS CERTIFICATION, CRUDE ASSAY MANAGEMENT

LOGISTICS MANAGEMENT

Tank farm, blending and shipments

ENERGY MANAGEMENT

LEVEL 2 APPLICATIONS AND PROJECTS IMPLEMENTATION

OIL ACCOUNTING AND LOSSES MANAGEMENT

• Scope, Incentives
• The hunt for losses
• Pre-requisites and implementation issues

SCHEDULING

• Scope from crude receipts to products liftings, Incentives
• Pre-requisites and implementation issues
• State of the art optimal scheduling and MINLP techniques

PERFORMANCE MONITORING

• Incentives for Key Performance Indicators (KPIs)
• Review of typical oil refineries KPIs for Operations
• Implementation pre-requisites and typical issues

ADVANCED TECHNOLOGY PROJECTS IMPLEMENTATION

• Execution schedule and pre-requisites
• Budget items and contingencies
• Hard and soft benefits evaluation
• Change management
• Key success factors

CONCLUSION

• Enabling technologies for field and control room operators
• Use of dual technologies
• Key success factors

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