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Transitioning to Effective DOF Enabled by Collaboration and Management of Change  301


              “smart” analytic workflows. The asset team interacted to understand pump
              performance, fluid characteristics, pressures, and PVT conditions to quickly
              make the best decision on a well to increase production within safe operating
              boundaries. A production engineer recommended changing electric sub-
              mersible pump (ESP) frequency and tubing head pressure (THP) using
              real-time data and an analytic model to obtain a substantial increase in the
              production from a well. A reservoir engineer was able to validate the rec-
              ommendation with respect to reservoir support pressure from nearby water
              injection and a facility engineer checked the flow assurance. Al-Jasmi et al.
              (2013) documented how smart workflows saved significant engineering
              time for effective decisions.
                 Collaborative working has evolved beyond production and surveillance
              processes, and now includes new mobility and visualization technologies
              and supports the drive to reduce costs as described in the next section.

              8.2.3 Mobility
              Operations are being automated as much as possible to make changes in the
              field remotely, for example, choke settings, power settings, variable speed
              drives, etc. However, human intervention is required when mechanical
              or electrical systems fail. Mobile devices, smart phones and tablets, enable
              collaboration to go beyond the office and to accompany field personnel
              wherever they may be. Operations can gain significant value by increasing
              well uptime by using real-time data to direct field personnel to where they
              are needed most on facilities and wells, to address downtime events (man-
              agement by exception)l, and, more so in the future, to act proactively on
              systems to prevent predicted events. Van den Berg et al. (2015a,b) compared
              explicitly a “before” and “after” implementation of mobile devices for field
              personnel. In their study, 10 tasks typically done by a field operator, which
              included multiple manual actions on information, were reduced to just two
              operations using mobile communications.
                 Figs. 8.5 and 8.6 illustrate (before and after) a similar process that was
              implemented in an unconventional field by several operators in 2015 and
              2016. Before management by exception and mobile devices were fully inte-
              grated, a field operator (pumper, electrician, chemical specialist, workover
              supervisor, etc.) had to check into a field office each morning to review a list
              of wells for particular intervention that day, for example, rod pulls, ESP
              restart, plunger reset. The policy was to visit all wells on a route in a day to
              check on any other condition or situation (Fig. 8.5). During the day, the
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