The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 12, 2013

Filed:

Mar. 21, 2003
Applicants:

Dingding Chen, Plano, TX (US);

John A. Quirein, Georgetown, TX (US);

Jacky M. Wiener, Aurora, CA (US);

Jeffery L. Grable, Houston, TX (US);

Syed Hamid, Dallas, TX (US);

Harry D. Smith, Jr., Houston, TX (US);

Inventors:

Dingding Chen, Plano, TX (US);

John A. Quirein, Georgetown, TX (US);

Jacky M. Wiener, Aurora, CA (US);

Jeffery L. Grable, Houston, TX (US);

Syed Hamid, Dallas, TX (US);

Harry D. Smith, Jr., Houston, TX (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06G 7/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A system and method for selecting a training data set from a set of multidimensional geophysical input data samples for training a model to predict target data. The input data may be data sets produced by a pulsed neutron logging tool at multiple depth points in a cases well. Target data may be responses of an open hole logging tool. The input data is divided into clusters. Actual target data from the training well is linked to the clusters. The linked clusters are analyzed for variance, etc. and fuzzy inference is used to select a portion of each cluster to include in a training set. The reduced set is used to train a model, such as an artificial neural network. The trained model may then be used to produce synthetic open hole logs in response to inputs of cased hole log data.


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