The influence of sample size and permeability distribution on heterogeneity measures

Journal Article · Sun May 01 04:00:00 EDT 1988 · SPE (Society of Petroleum Engineers) Reserv. Eng.; (United States)

DOI:https://doi.org/10.2118/15434-PA· OSTI ID:6921631

Jensen, J L; Lake, L W

This study evaluates the influence of sample size on the Dykstra-Parsons and Lorenz measures of heterogeneity. Because either coefficient is determined for a reservoir from a finite number of data, only an estimate is made of the true coefficient. The authors show that, on average, the estimate is less than the true value. They give the relationship between estimate error and number of samples and show how significant errors may arise when too few data are used. The influence of the permeability distribution on heterogeneity measures is also studied. The authors show that a variety of distributions exhibiting different reservoir performance can have the same Dykstra-Parsons coefficient. They propose a heterogeneity measure that includes an indication of the permeability distribution. The new measure requires fewer data than the Dykstra-Parsons estimator. The relationships between the new measure and the Dykstra-Parsons and Lorenz coefficients are given.

• Research Organization: Heriot Watt Univ. (US)
• OSTI ID: 6921631
• Journal Information: SPE (Society of Petroleum Engineers) Reserv. Eng.; (United States), Journal Name: SPE (Society of Petroleum Engineers) Reserv. Eng.; (United States) Vol. 3:2; ISSN SREEE
• Country of Publication: United States
• Language: English

Related Subjects

02 PETROLEUM
020200* -- Petroleum-- Reserves
Geology
& Exploration
03 NATURAL GAS
030200 -- Natural Gas-- Reserves
Geology
& Exploration
ACCURACY
GEOLOGIC DEPOSITS
GEOPHYSICS
HETEROGENEOUS EFFECTS
MEASURING METHODS
MINERAL RESOURCES
NATURAL GAS DEPOSITS
PERMEABILITY
PETROLEUM DEPOSITS
RESERVOIR ROCK
RESOURCES
SAMPLING