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Introduction to Digital Oil and Gas Field Systems             15









                  Computer             Camera
                              PAC


                 Router       Ethernet
                                                     Pressure  Temperature
                                                     Sensor  Sensor
                                      Level Sensor
                                             Leak Detector
                                    Flow Meter
                        switch

              Fig. 1.8 A common configuration for production operations telemetry equipment at a
              wellsite. (Image courtesy of Moxa.)




              1.5.2 Data Management and Data Transmission
              Located in the SCADA terminal, real-time signals from the field are
              gathered by cellular modems and sent to a family of servers. The servers
              use multiplex software to organize and store the data in different struc-
              tured layers under a series of information technology (IT) industry pro-
              tocols. The software that does this data collection and aggregation is
              referred to as a historian, which accumulates time data, Boolean events,
              and alarms in a database, which can be used for many visualization solu-
              tions. The data are previously QA/QCed, cleaned, and conditioned using
              a series of algorithms (data reduction, wavelet filtration, and missing data
              interpolation) that filters the data from signal abnormalities such as noise,
              spikes, outliers, and frozen data. The historian commonly feeds a repos-
              itory or master database, such as the Structured Query Language (SQL) or
              Oracle. Other types of data—such as mechanical equipment, interven-
              tions, tubing scans, gyro scans—are unstructured and stored in well files
              are well databases.
                 Chapter 3 discusses these and other processes and key concepts for DOF
              data management, including
              •  data architecture, data storage, and cloud servers;
              •  data QA/QC, conditioning, and cleansing; and
              •  alert and alarm management.
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