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Quality Risk Management



            in Oil & Gas Industry




            Projects today are getting larger and more complex and several factors combined increase
            the level of project-related risk within the sector. The challenge therefore is to manage the
            political and other risks that are unavoidable in the industry. How well these risks are
            analyzed and managed will often be key to a project’s success. The main techniques
            proposed by Xylem are: condition-based monitoring, predictive maintenance, critically-
            based maintenance, performance center or center of excellence.


            Massimo Rebecchi, Xylem Srl President and Ceo



                           y multinational Client asked Xylem  Decision Making Process, Value

                           to explore the Operational Risks   of Information and Flexibility
                           faced by Construction companies
                           in today’s business and regulatory   Many complex decision problems in petroleum
                           environment, and how the right   exploration and production involve multiple conflicting
            Minformation technology can help         objectives. Under these circumstances, managers have
            mitigate those risks. Operational risk is experienced at   a growing need to employ improved and systematic
            the corporate level, but these considerations mainly   decision  processes that explicitly  embody  the firm’s
            focuses on  what  impacts can  have  every day  on   objectives, desired goals, and resource constraints.
            construction plants activities.          Over the last two decades, the advances in computer-aided
            The purpose of this reflection is to encourage and   decision making processes have provided a mechanism to
            facilitate the development of a more systematic,   improve the quality of decision making in modern petroleum   Fig. 1 - Quality Risk
            prioritized, risk-based approach to quality management   industry. Walls (1996) developed a decision support model   Management Process
            to support the principles of “Good
            Construction Practice” and to
            complement existing quality practices,
            requirements and standards.
            Quality in this context is commonly
            defined as fitness for purpose.
            Construction activities are about
            generating information to support
            decision making while protecting the
            safety and rights of participating
            subjects. The quality of information
            generated should therefore be
            sufficient to support good decision
            making.
            Each step of the business process is
            setting the stage for decision making
            by one or more of the parties involved.
            Quite a number of these decisions are
            formalized by legislation and by
            design applicable standards.
            The challenge for oil & gas industry is
            to manage the political and other risks
            that are unavoidable in the industry
            with effective returns.


                                                                                    IndustrIal Plants - May 2018
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