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US Patent 7280214 Method and apparatus for a high resolution downhole spectrometer

Patent 7280214 was granted and assigned to Baker Hughes on October, 2007 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Baker Hughes
Baker Hughes
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
72802140
Patent Inventor Names
Rocco DiFoggio0
Paul Bergren0
Arnold Walkow0
Date of Patent
October 9, 2007
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Patent Application Number
108279480
Date Filed
April 20, 2004
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Patent Citations Received
‌
US Patent 11881093 Systems and methods for identifying smoking in vehicles
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‌
US Patent 11760169 Particulate control systems and methods for olfaction sensors
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US Patent 11760170 Olfaction sensor preservation systems and methods
Patent Primary Examiner
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F. L. Evans
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Patent abstract

The present invention provides a simple, robust, and versatile high-resolution spectrometer that is suitable for downhole use. The present invention provides a method and apparatus incorporating a spinning, oscillating or stepping optical interference filter to change the angle at which light passes through the filters after passing through a sample under analysis downhole. As each filter is tilted, the color or wavelength of light passed by the filter changes. Black plates are placed between the filters to isolate each filter's photodiode. The spectrometer of the present invention is suitable for use with a wire line formation tester, such as the Baker Atlas Reservation Characterization Instrument to provide supplemental analysis and monitoring of sample clean up. The present invention is also suitable for deployment in a monitoring while drilling environment. The present invention provides a high resolution spectometer which enables quantification of a crude oil's percentage of aromatics, olefins, and saturates to estimate a sample's gas oil ratio (GOR). Gases such as CO2 are also detectable. The percentage of oil-based mud filtrate contamination in a crude oil sample can be estimated with the present invention by using a suitable training set and chemometrics, a neural network, or other type of correlation method.

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