SPE Reservoir Evaluation & Engineering
Volume 14,
Number 2,
April 2011,
pp. 193-203
Summary
Injectivity decline of oilfield injection wells is a widespread phenomenon
during seawater/produced-water injection. The decline may result in significant
cost increase of the waterflooding project. Reliable modeling-based prediction
of injectivity-index decrease is important for waterflood design as well as for
the planning of preventive injected-water treatment. One of the reasons for
well injectivity decline is permeability decrease caused by rock plugging by
solid/liquid particles suspended in the injected water.
The mathematical model for deep-bed filtration contains two empirical
functions: the filtration coefficient and the formation-damage coefficient.
These empirical coefficients must be determined from laboratory coreflood tests
by forcing water with particles to flow through the core samples. A routine
laboratory method determines the filtration coefficient from expensive and
difficult particle-concentration measurements at the core effluent; then, the
formation-damage coefficient is determined from inexpensive and simple
pressure-drop measurements. An alternative three-point-pressure method uses
pressure data at an intermediate point of the core, supplementing pressure
measurements at the core inlet and outlet. The method provides unique and
stable values for constant-filtration and formation-damage coefficients.
In the current work, we consider a more complex case in which both
coefficients are linear functions of retained-particle concentration. In this
case, the model is fully determined by four constants. The three-point-pressure
method furnishes unique values for the four model parameters. A new
semianalytical model for axisymmetric suspension filtration was developed to
predict well-injectivity decline from the linear coreflood data with pressure
measurements in three core points.
© 2011. Society of Petroleum Engineers
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History
- Original manuscript received:
15 November 2007
- Meeting paper published:
14 February 2008
- Revised manuscript received:
19 May 2010
- Manuscript approved:
13 October 2010
- Published online:
24 March 2011
- Version of record:
6 April 2011