Reliability measures for statistical prediction of geophysical and geological parameters in geophysical prospecting
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United States of America Patent
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Aug 27, 2002
Grant Date -
Nov 22, 2001
app pub date -
Dec 4, 2000
filing date -
Dec 6, 1999
priority date (Note) -
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Abstract
A method for assessing reliability of a prediction model constructed from N training data attribute vectors and N associated observed values of a specified parameter. Each training data attribute vector includes seismic attributes obtained from seismic data traces located at or near a well and each associated observed value is obtained from well log or core data from the well. A predicted value of the specified parameter is determined for each of the N training data attribute vectors, from the training data attribute vectors and the prediction model. A residual is determined for each of the N training data attribute vectors, as the difference between the associated observed value and the predicted value of the specified parameter for the training data attribute vector. An attribute vector for the designated location is determined.
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