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Book Chapter

Pattern Recognition Approach to Exploration

By
R. J. P. deFigueiredo
R. J. P. deFigueiredo
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Published:
January 01, 1982

Abstract

The past three decades have seen the development of an approach, known as the “pattern recognition approach,” to problems of retrieval of information from data. This approach has been successfully used in a number of applications (ICPR-V, 1980), such as in the classification of agricultural crops from remotely sensed satellite data; in the machine recognition of speech and handwritten text; in the computer-vision-based inspection of industrial objects; in radar, sonar, and other defense-oriented applications; in the classification of electrocardiograms and electroencephalograms; and in medical diagnosis. The purpose of this chapter is to introduce the main concepts underlying pattern recognition theory to those explorationists not familiar with the subject. For a survey of the basic techniques and their actual and potential applications to oil and gas exploration problems the reader is referred to de Figueiredo (1982). [A selected bibliography follows this chapter.]

By a “partern” we mean some form or structure present in a data set. In oil and gas exploration, examples of patterns of interest are the waveshape of a seismic trace in the neighborhood of a lithological interface; the pattern exhibited by an entire set of traces, in a variable area display of a common-depth stack, in the region of a fault; the configuration of equipotential contours on a map pertaining to an aeromagnetic survey of a basin; and the shapes of signatures of one or more well logs as a function of depth. These are only a few of the many types of patterns which occur

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Contents

Concepts and Techniques in Oil and Gas Exploration

Kamal C. Jain
Kamal C. Jain
Venex Corporation Houston, TX
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Rui J. P. deFigueiredo
Rui J. P. deFigueiredo
Rice University Houston, TX
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Society of Exploration Geophysicists
ISBN electronic:
9781560802778
Publication date:
January 01, 1982

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