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The AAPG/Datapages Combined Publications Database
GCAGS Transactions
Abstract
EXTENDED ABSTRACT: A Method for
Analyzing Textural Changes Within Clastic Environments Utilizing 
Electrical
Borehole Images
Electrical
Borehole Images
Newberry, Bill M.,1 Hansen,
Steven M.,1 and Perrett, Tom T.2
ABSTRACT
Electrical borehole images have been utilized to evaluate
clastic environments for more than 24 years. During this period textural
changes have been classified by an interpreter only as visual features. Now
verbal descriptions of clastic textures, as seen on images, can be supplanted
by a semi-automatic product that captures high-resolution textural information
from electrical
borehole images. These attributes may then be produced in
a clear, usable format. The method employed and illustrated here is known
as sandstone textural analysis (STA) evaluation. This method analyzes the
total image resistivity spectrum in a 1-inch interval around the well bore.
An image-sorting index is calculated from the percentile resistivity distribution
of the image spectrum. This resistivity spectrum can be divided into a "well
sorted" portion and the fractions that are either more resistive or conductive.
The resistivities of these three fractions can then all be calculated. These
outputs, sorting-index, fractional resistivities, variability, along with
layering measurements and associated open-hole log data can be combined to
compute a facies description that captures the textural content of these
clastic environments.Pay-Per-View Purchase Options
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