Title:
METHOD AND APPARATUS FOR NEUTRON POROSITY MEASUREMENT USING A NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2011/115747
Kind Code:
A3
Abstract:
A method of estimating formation porosity using a neural network for neutron porosity tools. In the training stage, the near-to-far ratio, environmental variables, such as mineralogy, borehole size, standoff etc., are fed to the inputs and the neural network is trained for obtaining the related true porosity (the output). The trained neural network is implanted into tool's firmware for the real time porosity measurement, accounting for the environmental effects considered during training.
Inventors:
ZHANG QIANMEI (US)
CHALITSIOS CONSTANTYN (US)
CHALITSIOS CONSTANTYN (US)
Application Number:
PCT/US2011/026783
Publication Date:
December 22, 2011
Filing Date:
March 02, 2011
Export Citation:
Assignee:
BAKER HUGHES INC (US)
ZHANG QIANMEI (US)
CHALITSIOS CONSTANTYN (US)
ZHANG QIANMEI (US)
CHALITSIOS CONSTANTYN (US)
International Classes:
G01V5/10; G06N3/02
Domestic Patent References:
| WO2010024802A1 | 2010-03-04 |
Foreign References:
| US5536938A | 1996-07-16 | |||
| US5862513A | 1999-01-19 | |||
| US6150655A | 2000-11-21 |
Attorney, Agent or Firm:
BYNUM, Todd, A. (P.O. Box 4740Houston, TX, US)
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