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New methods have been advanced to process, manipulate and use real-time data from permanent downhole monitoring (PDM) systems such as fiber optic pressure, temperature and flow sensors. These interpretative methods are centered on detailed Computational Fluid Dynamics (CFD) simulations of the wellbore and surrounding near-wellbore region. In addition to facilitating the solution of geometrically complex flow dependencies, the CFD approach accounts for the highly coupled chemical physics inherent in multi-phase systems. By running the model for different anticipated production scenarios, a series of production "type curve" analogs are generated that can be used to “predict” the time-dependent flow, pressure and thermal profiles recorded by a PDM, thereby assisting interpretation of the data.
Continuing improvements in quality and reliability have led to increased applications of fiber optic technology for downhole sensing applications in harsh pressure and temperature environments.
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