Page 21 - Intelligent Digital Oil And Gas Fields
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4                                         Intelligent Digital Oil and Gas Fields


          making that supports a company’s objectives in terms of maximizing hydro-
          carbon recovery and improving operational efficiency. Several common
          definitions from the literature include the ones listed below:
          •  “Digital oil field is an umbrella term for technology-centric solutions
             that allow companies to leverage limited resources. For instance, such
             technology can help employees to more quickly and accurately analyze
             the growing volumes of data generated by increasingly sophisticated
             engineering technologies (Steinhubl et al., 2008).”
          •  Saputelli et al. (2013) have defined DOF as “the orchestration of disci-
             plines, data, engineering applications, and workflow integration tools
             supported by digital automation, which may involve field instrumenta-
             tion, telemetry, automation, data management, integrated production
             models, workflow automation, visualization, collaboration environ-
             ments, and predictive analytics.”
          •  “A digital oil field is defined by how a petroleum business deploys its
             technology, people, and processes to support optimizing hydrocarbon
             production, improving operational safety, protecting the environment,
             maximizing, and discovering reserves in addition to maintaining a
             competitive edge.” (istore https://www.istore.com/).



             We define a digital oil field implementation as a technology system that integrates
             high-volume data acquisition and transmission in real time for using data in oper-
             ations centers, distributed computer systems, and mobile technologies. From these
             destinations, data are reproduced in virtual models and visualized in a cross-
             discipline collaborative environment by automated workflows, machine-to-machine
             communication, intelligent agents, and predictive analytic systems. An integrated
             DOF approach enables a company to maintain its oil and gas operations at optimal
             and safe operating conditions and ultimately maximize financial potential with min-
             imum human intervention.

          Fig. 1.3 depicts the most important elements of a DOF system.


               1.2 DOF KEY TECHNOLOGIES

               Many in the industry would argue that DOF began in the early 1980s
          with the introduction of SCADA (supervisory control and data acquisition)
          systems in oil and gas production. Those first programs were analog systems
          with charts that were manually read and interpreted by people. The term
          DOF is more appropriately associated with introduction of digital sensors,
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