Predicting formation fluid property through downhole fluid...

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C166S264000

Reexamination Certificate

active

07966273

ABSTRACT:
Apparatus and methods to perform downhole fluid analysis using an artificial neural network are disclosed. A disclosed example method involves obtaining a first formation fluid property value of a formation fluid sample from a downhole fluid analysis process. The first formation fluid property value is provided to an artificial neural network, and a second formation fluid property value of the formation fluid sample is generated by means of the artificial neural network.

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C. Dong, SPE, and M. O'Keefe, SPE, Schlumberger; H. Elshahawi, SPE, and M. Hashem, SPE, Shell; S. Williams, SPE, Hydro; Stensland, Eni Norge; P. Hegeman, SPE, R. Vasques, T. Terabayashi, O. Mullins, SPE, and E. Donzier, Schlumberger, “New Downhole Fluid Analyzer Tool for Improved Reservoir Characterization” Source Offshore Europe, Sep. 4-7, 2007.

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