--> Abstract: A Method for Analyzing Textural Changes Within Clastic Environments Utilizing Electrical Borehole Images, by Bill M. Newberry, Steven M. Hansen, and Tom Perrett; #90032 (2004)

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A Method for Analyzing Textural Changes Within Clastic Environments Utilizing Electrical Borehole Images

Bill M. Newberry1, Steven M. Hansen1, and Tom Perrett2
1 Schlumberger Oilfield Services, Houston, TX 
2 BHP Billiton Petroleum (Americas) Inc., Houston, TX

Electrical borehole images have been utilized to evaluate clastic environments for over 15 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 form. This method analyzes the total image 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.

AAPG Search and Discovery Article #90032©2004 GCAGS 54th Annual Convention, San Antonio, Texas, October 10-12, 2004