Page 31 - Intelligent Digital Oil And Gas Fields
P. 31

12                                        Intelligent Digital Oil and Gas Fields


          higher) may be fully automated with many sensors. Below is a description of
          the four levels in Fig. 1.5.
             Manual process level: This is the initial reference point, which assumes a
          fully manual process. The data are not being acquired in real time. Basic sur-
          face sensors [pressure (P), temperature (T), and volume (V)] are used, and
          readings are recorded and annotated by people when they visit the operation
          site. Production well tests are conducted periodically, on demand. The data
          are exchanged between different disciplines by email or in a repository of
          shared folders. The engineering workflows are performed manually by each
          discipline (in silos, no integration). Monitoring is performed monthly and
          diagnostic and optimization is performed randomly (2–3 times a year).
          Communication is by phone, email, and meetings. Asset team collaboration
          is low.
             Automation level: The real-time data is gathered only from basic surface
          sensors (P, T), and the information is gathered using wireless technology.
          Production well tests are taken monthly or on demand. Data are centralized
          in a SCADA/historian storage center using industry-standard protocols.
          Some engineering workflows are automated. Monitoring is performed
          daily, while diagnostic and optimization processes can be performed
          monthly. Team discussions of production issues are conducted in meetings
          and situation rooms. Collaboration starts to improve.
             RTOC level: Most surface locations in a field have real-time sensors,
          including flow meters. For wells without flow meters, virtual metering is
          used for the entire field that can provide production data for individual
          wells. Data are sent using wireless or WiMAX technologies (to support
          high-volume data traffic). The data are centralized in the SCADA/historian
          storage center using the industry standard protocols. Most engineering
          workflows are automated, with advanced algorithms to provide alarms
          and alerts. Monitoring is performed in real time, while diagnostic and opti-
          mization can be performed weekly or monthly. The operation includes a
          dedicated real-time operations center, with dedicated staff. Collaboration
          is significant but not optimal. Communication with field operations staff
          is via cell phone and by texting.
             DOF level: The operations is exactly the same as an RTOC; however,
          most engineering workflows are intelligent and with predictive capability
          to generate advice and guidance. Monitoring is performed in real time with
          exception-based surveillance, while diagnostic and optimization could be
          performed daily with an advisory system to prevent production downtime.
          There is a dedicated collaboration working environment (CWE) with
   26   27   28   29   30   31   32   33   34   35   36