How to use /PRA/FF_CTR_VOL_UPLD - ONRR Field Fuel: Vol. Upload


SAP Transaction Code - Details

  • Transaction Code: /PRA/FF_CTR_VOL_UPLD

    Description: ONRR Field Fuel: Vol. Upload

    Release: S/4HANA only

  • Show technical details Hide technical details
    • Program: /PRA/R_FF_CTR_VOL_UPLOAD

      Screen: 1000

      Authorization Object: S_TCODE

    • Development Package: /PRA/ONRR_FF

      Package Description: ONRR - Field Fuels

      Parent Package: /PRA/ONRR_2014

    • Module/Component: IS-OIL-PRA

      Description: Production and Revenue Accounting


Smart SAP Assistant

  • SAP Tcode: /PRA/FF_CTR_VOL_UPLD - ONRR Field Fuel: Vol. Upload
    
    Overview:
    The SAP transaction code /PRA/FF_CTR_VOL_UPLD - ONRR Field Fuel Vol. Upload is used to upload volume data from the field to the SAP system. This transaction code is used by the Oil and Natural Resources Revenue (ONRR) department to manage fuel volumes in the field. 
    
    Functionality: 
    This transaction code allows users to upload fuel volume data from the field into the SAP system. The data is then used to calculate the amount of fuel that has been produced and consumed in the field. This data is also used to generate reports and analyze trends in fuel production and consumption. 
    
    Step-by-step How to Use: 
    1. Log into the SAP system using your user ID and password. 
    2. Enter the transaction code /PRA/FF_CTR_VOL_UPLD - ONRR Field Fuel Vol. Upload in the command field. 
    3. Enter the required information such as fuel type, volume, date, etc. 
    4. Click “Upload” to upload the data into the SAP system. 
    5. The data will be stored in the system and can be accessed for reporting and analysis purposes. 
    
    Other Recommendations: 
    It is recommended that users regularly check for updates to ensure that they are using the most up-to-date version of this transaction code. Additionally, users should ensure that they have all of the necessary information before attempting to upload data into the system, as incomplete or incorrect data may lead to inaccurate results or reports.
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