Summary
Saturation/height functions on the basis of unique flow units have been
developed as part of an integrated petrophysical analysis of a gas field.
Furthermore, coupling the saturation/height functions with appropriate relative
permeability models has effectively quantified hydrocarbon saturation,
classified producibility of intervals, and defined critical water saturation.
The results show that linking depositional and diagenetic rock fabric with flow
units and then linking the flow units with zones that have similar core
capillary pressure and relative permeability relationships have enhanced the
utility of the saturation models. The saturation/height functions provided
more-accurate water saturation in the study field, and potentially they can
overcome uncertainties associated with log interpretation by use of Archie or
shaly-sand models.
The saturation/height models were developed from core capillary pressure
(Pc ) data to calculate water saturation vs. depth, which is
independent of logs. The relative permeability models were obtained from
special-core analysis (SCA). Consequently, the core-based saturation/height
functions can be useful in the calibration of log-based petrophysical models
and with relative permeability can also be used to estimate water/gas ratios
and critical water saturation.
Capillary pressure and relative permeability curves from SCA studies were
distributed into corresponding flow units, on the basis of the calculated
flow-zone indicators. Saturation/height functions were then developed for each
unit and were used to calculate water saturation in the study field. The most
accurate flow-unit-based saturation model that evolved is a function only of
porosity and of height above the free-water level; it does not require
permeability in its application; and it performed better than the Leverett
J-function in this field.
Coupled with hydraulic unit (HU)-based relative permeability curves, the
saturation models may provide more comprehensive petrophysical interpretation
in gas-bearing formations and may highlight potential differences in reservoir
producibility.
Introduction
Models used to calculate water saturation from logs in this gasfield case
study include the deterministic Archie equation (Archie 1942), Waxman and Smits
(1968), and an optimizing dual-water (DW) model presented by Eyvazzadeh et al.
(2003).
Extensive laboratory measurements conducted by Amabeoku et al. (2005a) and
Efnik et al. (2006) show variability of the saturation (n) and
cementation exponents (m) vertically within the well and from well to
well. This makes the use of single-valued (average) parameters untenable.
The presence of illite, even though in small quantities, has necessitated
the use of the DW model routinely to calculate porosity and water saturation in
this field. Illite is filament-like, nonswelling clay that coats grain
surfaces. It is thought that the DW model, which was optimized for this
formation, provides more-accurate water saturation. The model uses as input all
available logs, mineral analyses, and electrical parameters, and it solves for
clay-bound water and free fluids in the flushed and unflushed zones of the
wellbore.
The relationship between capillary pressure (Pc ) and
water saturation offers a means to estimate water saturation vs. depth, which
is independent of wireline logs and provides the ability to calibrate
log-derived saturations. Saturation/height models, if implemented successfully,
would also minimize, or eliminate, the uncertainties associated with
electrical-parameter measurements. Some uncertainties that can impact the
accuracy of electrical parameters include electrode configuration, saturation
and resistivity equilibration, and incomplete core cleaning. The experimental
protocols should also be designed to determine intrinsic saturation and
cementation exponents (n* and m*, respectively) and not apparent
properties in shaly formations such as those discussed in this paper.
© 2008. Society of Petroleum Engineers
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History
- Original manuscript received:
25 June 2006
- Meeting paper published:
24 September 2006
- Revised manuscript received:
16 May 2008
- Manuscript approved:
1 September 2008
- Version of record:
29 December 2008