Page 149 - Handbook Of Multiphase Flow Assurance
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Asphaltenes                              145

                                          6500 ft




                                          7000 ft




                                          7500 ft




                                          8000 ft




                                          8500 ft




                                          9000 ft
            FIG. 5.28  Variation of asphaltene deposit location and thickness in a well tubing of 4.5 in. nominal size with depth
            and time (redrawn, from Haskett and Tartera, 1965): Red outline 29 Jan, Orange outline 18 Feb, Yellow outline 9 Mar,
            Green outline 12 Apr, Blue outline 8 May.

            Monitoring and remote sensing of asphaltenes

            •  Currently used techniques
              Asphaltene detection in production systems is mainly limited to observation of solids accu-
            mulated in separator inlet strainer or in scraper receiver. Loss of operability of control equip-
            ment such as SCSSV which have to be periodically tested per regulatory requirements may
            also indicate asphaltene deposition, but it could also be caused by scale deposition. Hydrate
            is unlikely because SCSSVs are set in a well at a depth warmer than the hydrate stability tem-
            perature for the water hydrostatic pressure.
            •  Emerging techniques
              Additional early warning of asphaltene deposition may be if a sensor transmitter such as
            pressure or a temperature gauge reading appears to drift to a lower value. Asphaltene may
            be depositing over the probe and altering its actual condition; the gauge reading is true of the
            changed conditions, but biased by the deposited layer of solids.
            •  Integrated systems
              Integrated production monitoring systems rely on correlating readings from all available
            pressure, temperature gauges and flow meters to show the most likely flow rate in the pro-
            duction system. Integrated systems may have additional monitoring software modules to de-
            tect and interpret deviations from steady values as a flow restriction. Systems may be trained
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