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A Petrophysical Method to Evaluate Irregularly Gas Saturated Tight Sands Which Have Variable Matrix Properties and Uncertain
Water
Salinities*
Michael Holmes1, Dominic Holmes1, and Antony Holmes1
Search and Discovery Article #40673 (2011)
Posted January 11, 2011
*Adapted from oral presentation at AAPG International Conference and Exhibition, Calgary, Alberta, Canada, September 12-15, 2010
1Digital
Formation
, Denver, Colorado ([email protected])
A problem in many Rocky Mountain tight gas sandstones is a sequence that is only partially gas saturated, with changing matrix properties combined with variable (and often unpredictable)
water
salinities. Often it is difficult to distinguish between high resistivity fresh
water
wet sands, and high resistivity, gas-bearing sands. A standard approach is to make a qualitative judgment based on
density
/neutron response – the gas “cross-over” effect. However, if matrix properties are variable, this approach can be misleading, and is at best a qualitative judgment.
The methodology presented here is a quantitative assessment of gas saturation by comparing matrix specific
density
and neutron responses with porosity, calculated such that gas effects are minimized. Cross plot porosity from
density
/neutron combination is only minimally affected by gas and by changing matrix properties.
Three sets of calculations are made assuming sandstone (bulk
density
2.65 gm/cc), calcareous sandstone (bulk
density
2.68 gm/cc) and heavily cemented calcareous sandstone, or limestone (bulk
density
2.71 gm/cc). Quantified estimates of gas saturation, as “seen” by each log, are available for each assumed rock type. Pressure effects on porosity log responses are included in the calculations.
Four sets of saturation profiles are now available, one from standard resistivity log analysis and three from porosity log analysis assuming different matrix properties. Comparisons among the 4 sets of saturation profiles can be combined with other data, such as mud log shows and (if available) core measured matrix densities. Using such comparisons, it is often relatively simple to distinguish between wet intervals and gas-bearing intervals. With increasing assumed grain
density
, gas saturations calculated from the porosity logs increase. If gas saturations so defined are unrealistically high, it is an indication that actual grain
density
is less than assumed grain
density
.
Additionally, if matrix properties are well-defined, it is possible to verify Rw input for resistivity log interpretation, and adjust as necessary. It is important to recognize that the porosity logs, and particularly the
density
log, investigate close to the wellbore, and may well be influenced entirely by the flushed zone. Examples are presented from Rocky Mountain reservoirs, in sequences where the problem of irregular gas saturation in systems with variable Rw is particularly severe.
Copyright � AAPG. Serial rights given by author. For all other rights contact author directly.
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Shaley
The interpretation is a standard shaley
The second set of analysis involves the calculation of effective porosity and
Gas Saturation from Porosity Logs
Comparison of
Standard resistivity interpretation from a Piceance Basin well, NW Colorado, is shown in Figure 2. Interpretation of the porosity resistivity cross plot (Figure 3) shows input used for saturation determination:
a = 1.0 Cementation constant m = 2.0 Cementation exponent n = 1.7 Saturation exponent
A summary of the interpretation is as follows:
Figure 4 shows the same interval as Figure 2, with the addition of interpretations of gas saturation from porosity logs. Examination of the porosity log Sg data shows the following:
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