Article ID: | iaor20084581 |
Country: | Netherlands |
Volume: | 176 |
Issue: | 1 |
Start Page Number: | 550 |
End Page Number: | 564 |
Publication Date: | Jan 2007 |
Journal: | European Journal of Operational Research |
Authors: | Nygreen Bjrn, Ulstein Nina Linn, Sagli Jan Richard |
Keywords: | production, artificial intelligence: decision support, programming: integer |
This paper describes a model for tactical planning of Norwegian petroleum production. The problem involves regulation of production levels from wells, splitting of production flows into oil and gas products, further processing of gas and transportation in a pipeline network. Blending and processing of gas is necessary to satisfy quality requirements in the markets. The problem is formulated with multi-component flows, regulation alternatives in production, non-linear splitting for chemical processing and linear quality constraints on composite products. Production and splitting are modelled with integer requirements. The model is implemented in XpressMP with a Visual Basic supported user interface in Excel. It is constructed in cooperation with the major Norwegian oil company, Statoil and can identify optimal production patterns and assist in planning of possible shut-downs, demonstrate system robustness to customers and aid in contract negotiations.