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The AAPG/Datapages Combined Publications Database

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Abstract

Hansen, B., and J. Buczak, 2010, Making interpretable images from image logs, in M. Poppelreiter, C. Garcia-Carballido, and M. Kraaijveld, eds., Dipmeter and borehole image log technology: AAPG Memoir 92, p. 5166.

DOI:10.1306/13181277M923405

Copyright copy2010 by The American Association of Petroleum Geologists.

Making Interpretable Images from Image Logs

Birger Hansen,1 Janusz Buczak2

1Eriksfiord AS, Jumet, Belgium
2Petris Technology, Mountcliff House, Hendon, London, United Kingdom

ACKNOWLEDGMENTS

This manuscript was improved through constructive criticism from Jean-Bernard Joubert (Total) and Christian Ottesen (Eriksfiord).

ABSTRACT

Generating a borehole image from the original measurements of rock properties involves a series of steps. The purpose of this chapter is to explain these steps systematically. For wireline (WL)-based imaging instruments, the measurements may come from sensors placed at different depths and orientations at the borehole imaging tool. When composing the image, the position of each measurement ideally has to be calculated at the size of a pixel, a procedure involving the use of downhole accelerometers and magnetometers, which are also part of the borehole imaging tool. For logging while drilling, the imaging is based on a rotating sensor that is part of the drilling assembly: the measurements are assigned to sectors oriented in relative bearing, and image generation is far simpler. Once the measurements have been oriented in space and placed on a rectangular grid, they have to be mapped to a color scale so features of geological interest become visible. A variety of filters may be applied to remove information of a nongeological nature, and pattern recognition or thresholding methods may be used to quantify imaged rock properties. Guidelines to correct faulty input data and detect defective processing are given. Within the context of a typical image processing and interpretation workflow, data Previous HitverificationTop and image generation and processing are discussed. Aspects of image interpretation, particularly the mechanics of dip picking, are also briefly considered.

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