MULTI-OBJECTIVE OPTIMIZATION ON MODELING AND OPTIMIZING SCALING AND CORROSION IN A WELLBORE

    公开(公告)号:US20220112799A1

    公开(公告)日:2022-04-14

    申请号:US17279969

    申请日:2020-04-13

    Abstract: System for optimizing operation of an oil and gas well employs multi-objective Bayesian optimization of wellbore parameters to minimize scaling and corrosion. The system may contain instrumentation for measuring temperature, pressure, at least one production parameter and at least one ion concentration of the fluid in the wellbore. The system may also have a processor for performing a calculation procedure to determine an anticipated corrosion rate (“Vbase”) and a scaling index (“Is”) reflecting a tendency of scale to form in the wellbore based on the measurements provided by the instrumentation, where Vbase and Is are calculated along the length of the wellbore. Based on a selected set of optimization points taken from the calculations of Vbase and Is, the system may control the alkalinity and flow rate of the fluid based on the multi-objective optimization to simultaneously optimize scaling and corrosion.

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