SPE Production & Operations
Volume 24,
Number 4,
November 2009,
510-521
Summary
The increasing deployment of distributed temperature- and pressure-measuring
devices in intelligent-well completions is providing the means to monitor the
inflow profiles of wells without any well intervention. If the profiles of
pressure and/or temperature are affected by the inflow profiles of the various
phases being produced, it is possible to estimate these flow profiles by
inverting the measured temperature and pressure profiles. This inversion
process is particularly challenging for horizontal wells because the pressure
drop along the well is usually small, and temperature changes, caused primarily
by Joule-Thomson effects, are also small.
This paper presents an inversion method that interprets distributed
temperature and pressure data to obtain flow-rate profiles along horizontal
wells. The inversion method, which is based on the Levenberg-Marquardt
algorithm (Marquardt 1963), is applied to minimize the differences between the
measured profiles and the profiles calculated from a forward model of the well
and reservoir-flow system.
We present synthetic and field examples in this paper to illustrate how to
use the inversion model to interpret the flow profile of a horizontal well. The
synthetic examples show that even with single-phase oil production, the inflow
profile can be estimated in many cases with the inversion method developed. The
method is even more robust when water or gas is produced along discrete
intervals in an oil production well because of the unique temperature signature
of water or gas production. We applied the inversion method to temperature and
pressure profiles measured with production logs in a North Sea horizontal
oil-producing well. The method successfully inverted pressure and temperature
profiles, and the profiles of oil- and water-flow rates determined compared
well with the flowmeter-derived profiles.
© 2009. Society of Petroleum Engineers
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History
- Original manuscript received:
2 August 2007
- Meeting paper published:
11 November 2007
- Revised manuscript received:
20 February 2009
- Manuscript approved:
8 April 2009
- Published online:
8 October 2009
- Version of record:
25 November 2009