A Scalable Approach to Modeling and Integrating a SupergiantMulti-Field Surface Facility Network to Meet Production OptimizationGoals-Challenges Lessons Learned

摘要

This paper describes the construction,calibration,and analysis of a multi-field integrated asset operationsmodel (IAOM).The strategy is based on a hierarchical approach that introduces process concepts to assuresimplicity,flexibility,and scalability as well as integration with external platforms without compromisingon accuracy.As a part of ADNOC Onshore's implementation of the IAOM,well and network models were constructedand calibrated for modelling field scenarios,identifying bottlenecks,and replicating business requirements.The new approach is rooted in concepts to assure maintainability of the network model.A hierarchicalapproach implemented during construction and calibration was defined in levels from wells to processingfacilities,and was later standardized for ease of replication of structures.Without compromising on accuracy,the new approach delivered ease of construction,calibration,andanalysis that was not possible in an earlier field model.The flexibility in the hierarchical constructionapproach facilitated faster analyses of scenarios such as commingled flow-line effects and the impact ofgas lift conversion.Additionally,model convergence time was reduced by half.The embedded scalabilityfeatures increased efficiency in the modelling process such that the addition of a newly commissioned fieldto the network model became a simplified task,ensuring the model will be kept up to date.Hierarchy featuresfacilitated ease of scenario definitions at different levels in the network and supported specific analyses.A nomenclature structure provided flexibility in classifying grouped or related objects for changes instatus in defining scenarios.Additional benefits were gained through the ability to easily integrate withother analytical tools such as forecasting software and other intelligent monitoring platforms owing tostandardizations built into the network model.This new approach allows engineers to understand the nuances of modeling and execute associated tasksin a structured and simplified manner,which can be replicated across other assets for increased efficiencyand model performance.