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Business Context & Goals

  • It is very difficult to calculate in transit hydrocarbon loss, when wells are physically located at multiple channels. Due to multiple transportation method such as Trucks, pipeline, barge etc. predicting and calculation of in transit loss at gathering station or at terminal is very difficult. Because of this reason responsibilities of loss can not be assigned to any person or gathering station. This makes very important to devise system whereby losses are accurately calculated and responsibility of losses are assigned correctly.

Business Challenges

  • Data is being collected on many channels at the site of the logistics operations and historic data is also available Today the process is not analytical with prediction based on the field accountant experience and skill. Decisions based on data: Measurements of water content, volume measurement, density measurement etc. are important parameters which needs to be recorded by field accountants. Derivation of Loss figures and than allocating to responsible gathering station or wells remains accounting nightmare.

Process-Innovations

  • Respond rapidly to changing Hydrocarbon accounting: Implementation of an analytical control system that measures received and dispatched hydrocarbon products. Enable truly real time Calculation of in transit loss This will Improve automation/execution speed & efficiency of logistics operations and reduce transit loss Avoid lost revenue due to in transit loss.  

Contribution of HANA/BW

  • SAP HANA will enable customers to detect and predict upcoming events and potential failure in real-time and at unprecedented speed to enable corrective action.  Data from multiple sources including Measurements of water content, volume measurement, density measurement etc.. are aggregated into HANA and Predictive analytic models, pattern recognition, simulation and event processing can be defined flexibly that works on real-time and historic well data.

Value Drivers/KPIs

  • In transit hydrocarbon Loss Reduction.