Method and apparatus for neutron porosity measurement using a neural network
US8849573B2 · kind B2 · utility
10Cited by
7References
15Claims
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Key dates
| Filing date | Mar 1, 2011 |
| Grant date | Sep 30, 2014 |
| Priority date | — |
| Expiry date | Apr 12, 2032 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/929
- WIPO fieldMeasurement
- WIPO sectorInstruments
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.
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