Neural network based well log synthesis with reduced usage of radioisotopic sources
US7587373B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 9, 2005 |
| Grant date | Sep 8, 2009 |
| Priority date | — |
| Expiry date | Jun 1, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Logging systems and methods are disclosed to reduce usage of radioisotopic sources. Some embodiments comprise collecting at least one output log of a training well bore from measurements with a radioisotopic source; collecting at least one input log of the training well bore from measurements by a non-radioisotopic logging tool; training a neural network to predict the output log from the at least one input log; collecting at least one input log of a development well bore from measurements by the non-radioisotopic logging tool; and processing the at least one input log of the development well bore to synthesize at least one output log of the development well bore. The output logs may include formation density and neutron porosity logs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.