SPE Production & Operations
Volume 26,
Number 2,
May 2011,
pp. 195-202
Summary
Because of irregular fracture surfaces caused by heterogeneities such as
variations in local mineralogy and variations in leakoff behavior, we use a
correlation to calculate fracture conductivity in acid fracturing. An
acid-fracture-conductivity correlation consists of two parts: conductivity at
zero closure stress and the rate of conductivity change with closure stress.
Existing correlations do not consider the effect of variations in formation
properties and were developed on the basis of laboratory experiments that use
core samples with dimensions of only a few inches. On the other hand,
acid-fracture simulators have grid sizes of several feet to tens of feet.
Therefore, correlations should be scaled up properly when used in a fracture
simulator. This paper presents new correlations to obtain the conductivity at
zero closure stress. This conductivity can then be incorporated in
acid-fracture-conductivity models that consider the effect of closure
stress.
In this study, an extensive numerical study was performed using an
intermediate-scale acid-fracture model with total dimensions comparable to a
gridblock size in an acid-fracturing simulator and grid sizes comparable to
core-sample sizes used in laboratory acid-fracture-conductivity tests. In this
model, the distributions of permeability and mineralogy along the fracture
faces are geostatistically generated. The model generates
fracture-surface-etching profiles as a function of acid contact time, from
which we can obtain fracture-width distributions when the fracture surfaces
have come in contact at low closure stress. We then calculate the fracture
conductivity by solving for the flow rate through this irregular domain for a
fixed dp across the domain. By analyzing the relationship between the fracture
conductivity created and statistical properties of the permeability and
mineralogy distributions, we developed new acid-fracture-conductivity
correlations for low closure stress. These correlations can be used directly to
better predict the primary coefficient in the widely used Nierode-Kruk (Nierode
and Kruk 1973) correlation of acid-fracture conductivity. This work allows the
Nierode-Kruk (N-K) correlation to be scaled up to the dimensions appropriate
for use in an acid-fracturing simulator.
© 2011. Society of Petroleum Engineers
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History
- Original manuscript received:
2 March 2010
- Meeting paper published:
9 June 2010
- Revised manuscript received:
6 July 2010
- Manuscript approved:
11 November 2010
- Published online:
7 April 2011
- Version of record:
16 May 2011