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Integrated Asset Management and Optimization Workflows       231


              •  Facilitates development of “institutionalized” and “standardized” auto-
                 mated workflows.
              •  Serves as the integration platform where models can be executed and
                 saved to a database for later retrieval, comparison, analysis, and
                 decision-making.


              6.4.1 Applications of IAM and Associated Work Processes

              This section outlines a few examples of applications of IAMod workflows
              and practices and their transformation to management and optimization
              of large-scale assets. The primary objective of an IAM process is to formulate
              an optimized, cost-effective development plan. This objective is primarily
              achieved through the integration of realistic and variable production profiles
              and taking into account the impact of system backpressure and real-time
              changes in the operating conditions. Moreover, the IAM practice acts to
              quantify and reduce uncertainty in the design data in terms of planned pro-
              duction for facility maintenance and future upgrading and replacements.
              Last but not the least, the IAM framework provides a platform for an effi-
              cient and timely production optimization under different development
              schemes. When an IAMod workflow is deployed within a broader frame-
              work that involves monitoring, analysis, and decision-making to optimize
              business-performance results and key indicators, the IAMod transforms
              the operation to integrated asset management (IAM).
                 In Al Marzouqi et al. (2016), the IAM framework is defined as a
              “collection of building blocks, processes, and workflows from surveillance
              strategy to opportunity generation and execution monitoring.” The IAM is
              not only the simulation technologies discussed so far in this section, but also
              the multidiscipline interactions and processes that use the technology effec-
              tively for decision-making. Thus, based on the experience and lessons
              learned in implementing IAM practices across an operator’s assets in a
              2-year period, Al Marzouqi et al. (2016) present a complex framework of
              6 blocks, 18 processes, and 29 workflows. The operational benefits are seen
              through shortening the learning curves of new employees, increased pro-
              ductivity, more efficient key performance indicator (KPI) validation, and
              improved consistency of deliverables, where process standardization plays
              a major role. In this analogy, for example, the implementation of detailed
              responsible-accountable-consulted-informed (RACI) charts/matrices is
              warranted to properly manage human potential and understand complex
              relationships and governance across the organization and disciplines.
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