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Direct Downhole Enthalpy Measurement

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Bulk Impedance Sensors (BIS) Void fraction from bulk impedance across flow path ... BIS Results Void Fraction. Void fraction determined from. a = 1-Zw/Zmix ... – PowerPoint PPT presentation

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Title: Direct Downhole Enthalpy Measurement


1
Direct DownholeEnthalpy Measurement
2
Overview
  • Objective and purpose
  • Approach
  • Experimental results
  • Future work

3
Objective and Purpose
  • Find a way to measure enthalpy downhole
  • Construct a device specifically to measure
    enthalpy
  • Expand the use of existing measurement
    technologies
  • Downhole enthalpy measurements useful for
  • Reservoir modeling
  • Fracture characterization
  • Earlier estimates of power produced by a well
  • Validating results from wellbore simulators

4
Approach
  • Flowing Enthalpy
  • Single Phase pressure and temperature
  • Two Phase temperature/pressure and flow rate of
    each phase
  • Alternatively, void fraction and phase velocities
    or slip factor could be measured
  • Know how to measure temperature and pressure
  • Need reliable flow rate measurements
  • Keep sensors simple

5
Approach
  • Phase Discrimination Sensors (PDS)
  • Void fraction from average vapor liquid profile
    B(r)
  • Velocity of dispersed phase from cross
    correlations
  • Velocity of continuous phase from empirical
    formulations or other measurement (e.g.
    anemometry)

6
Approach
  • Bulk Impedance Sensors (BIS)
  • Void fraction from bulk impedance across flow
    path
  • Disperse phase velocity from cross-correlation
    concept
  • Alternatively use EIT theory or train an
    artificial neural network to determine the
    enthalpy directly

7
Experiments
  • Phase Discrimination Sensors
  • Optical window used as reference
  • Resistivity probe
  • Temperature probe
  • Bulk Impedance Sensor
  • Outward looking dual electrode probe

8
Optical Measurements
  • Segmented air-water flow, 1/8 tube
  • Light source on one side and phototransistor on
    the other side
  • Clear signal detected when a bubble passes the
    light source

9
Optical Measurements
  • Bubble flow in 1 plexiglas tube
  • Same phototransistors as before but laser used as
    the light source
  • Clear signal detected when a bubble passes the
    laser beam

10
Resistivity Measurements
  • Segmented air-water flow, 1/8 tube
  • Small electrode couple placed in the flow path
  • Signal detected, but cross-talk is problematic

cross-talk
cross-talk
cross-talk
11
Temperature Measurements
  • Segmented air-water flow, 1/8 tube
  • Fast response thermocouple (20 ms) placed in
    segmented air/water flow
  • No response detected as bubble passed the
    thermocouple

12
PDS Results - Phase Velocity
  • Bubble velocities determined using the cross
    correlation function


13
PDS Results Void Fraction
  • Void fraction determined from time average of air
    vs. water presencea ta/(tatw)
  • More stable signals needed to determine threshold
    value
  • And/or reliable reference measurements for
    calibration

14
Impedance Measurements
  • Bubble flow in 6 plexiglas tube
  • Electrodes placed on the outside of a submersible
    probe (1.5). Probe placed inside a larger
    plexiglas tube (6)
  • Reference void fraction measured by
    gradiomanometer
  • Water flow rates from 10 150 lb/min and air
    flow rates from 0 5 SCFM

Cathode
Anode
15
BIS Results Void Fraction
  • Void fraction determined from a 1-Zw/Zmix
  • Close to linear relationship between void
    fraction and bulk impedance for 0-25 void
    fraction
  • Better fit at higher void fractions

16
Future Work
  • General
  • Develop or gain access to a steam-water test flow
    loop
  • Obtain reliable reference measurements for
    temperature, pressure, void fraction, flow rate,
    etc.
  • Phase Discrimination Probes
  • Investigate high temperature options for optical
    fiber
  • Experiment with optical fiber sensors in
    steam-water flow loops
  • Experiments with multiple probes to obtain radial
    profile for flow parameters

17
Future Work
  • Bulk Impedance Sensors
  • Place multiple electrodes in two planes and solve
    for void fraction using EIT theory
  • Infer bubble velocity from modified version of
    the cross correlation function
  • Train an Artificial Neural Network to determine
    the enthalpy
  • Attempt to solve the EIT problem using an
    outward-looking electrode setup

18
Acknowledgments
  • This research was conducted with financial
    support to the Stanford Geothermal Program from
    the US Department of Energy under grant
    DE-FG07-02ID14418, the contribution of which is
    gratefully acknowledged
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