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194                                       Intelligent Digital Oil and Gas Fields


          7. Supervisors and managers review the ticket status KPIs on their
             dashboard.
          Ticketing and flow process:
          1. The monitoring team ranks the number of issues, alarms, and alerts and
             decides to generate tickets with comments and follow-up actions.
          2. The engineering team receives an email or alert on their mobile app with
             actions to diagnose and evaluate the current performance of the well.
             Provide recommendations and assign tasks to the operation team. The
             monitoring team receives the ticket back and sends it to the
             operation team.
          3. The operation team completes the activity by performing a well opera-
             tion, such as changing the ESP frequency, choke size, valve for GL injec-
             tion, and separation system line or RP condition. The monitoring team
             receives an automated notification that the changes have been executed
             and the operations team verifies.
          4. The monitoring team:
               Verifies the changes of the physical settings and storage of the events
                in data system.
               Verifies that changes in surface pressure, rates, and temperature have
                been observed (in case of any unresponsive action).
               Confirms with the operation team that action has been executed.
          5. The monitoring team closes the tickets.



          REFERENCES
          Al-Abbasi, A., Al-Jasmi, A., Goel, H.K., Nasr, H., Cullick, A., Rodriguez, J.A.,
             Carvajal, G.A., et al., 2013. New Generation of Petroleum Workflow Automation: Phi-
             losophy and Practice. SPE-163812-MS. https://doi.org/10.2118/163812-MS.
          Al-Jasmi, A., Goel, H.K., Rodriguez, J.A., Carvajal, G.A., Velasquez, G., Scott, M., et al.,
             2013d. Maximizing the Value of Real-Time Operations for Diagnostic and Optimiza-
             tion at the Right Time. SPE-163696-MS. https://doi.org/10.2118/163696-MS.
          Al-Jasmi, A., Al-Zaabi, H., Goel, H.K., Lopez, C., Carvajal, G., Vanish, D., Querales, M.,
             Villamizar, M., Yong, Y., Rodriguez, J., Mahajan, A., 2013a. A Real-time Automated
             “Smart Flow” to Prioritize, Validate and Model Production Well Testing. SPE-163813-
             MS. https://doi.org/10.2118/163813-MS.
          Al-Jasmi, A., Goel, H.K., Nasr, H., Carvajal, G.A., Johnson, W., Cullick, A.S.,
             Rodriguez, J.A., Moricca, G., Velasquez, G., et al., 2013b. A Surveillance “Smart Flow”
             for Intelligent Digital Production Operations. SPE-163697-MS. https://doi.org/
             10.2118/163697-MS.
          Al-Jasmi, A., Nasr, H., Goel, H.K., Moricca, G., Carvajal, G., Dhar, J., Querales, M.,
             Villamizar, M., Yong, Y., Rodriguez, J.A., Bermudez, F., Kain, J., 2013e. ESP
             “Smart Flow” Integrates Quality and Control Data for Diagnostic and Optimization
             in Real Time. SPE-163809-MS. https://doi.org/10.2118/163809-MS.
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