Laser-enhanced oil correlation system
First Claim
1. A method for determining the quality of one or more selected oils, comprising:
- collecting 3-D fluorescence spectra for a plurality of reference oils having known maturities;
processing the 3-D fluorescence spectra and the contour plot of each oil to produce a scores plot and compiling a reference library of scores plot data;
dividing the scores plots for the plurality of oils into plural subgroups by classifying in accordance with predetermined similarity criteria;
producing a sample scores plot for the 3-D. fluorescence spectra of a selected sample oil; and
defining the sub-group within which the sample scores plot falls and, on the basis of the scores plots for the sub-group, forming a prediction model to predict the maturity of the sample oil.
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Abstract
Method and apparatus for precise oil correlation using oil-filled fluid inclusions to form signature plots of fluorescence excitation versus emission versus intensity data. The apparatus uses a tunable light source energized periodically through a given series of wavelengths as directed through a microscope to a fluid inclusion to excite fluorescence. Subsequent fluorescence emission is detected by a monochromator/photomultiplier combination for input to a data acquisition system that processes the data and provides requisite fluorescence output plots indicating more particularly the nature of the fluid inclusion matter, i.e., 3-D fluorescence spectra indicative of the oil. The quality of the oil in terms of API° gravity can also be determined by time-resolution fluorescence spectroscopy to determine fluorescence lifetimes. Finally, program-controlled processing functions to identify and classify selected oil material responses relative to data compiled for a preestablished library of different responses.
108 Citations
14 Claims
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1. A method for determining the quality of one or more selected oils, comprising:
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collecting 3-D fluorescence spectra for a plurality of reference oils having known maturities; processing the 3-D fluorescence spectra and the contour plot of each oil to produce a scores plot and compiling a reference library of scores plot data; dividing the scores plots for the plurality of oils into plural subgroups by classifying in accordance with predetermined similarity criteria; producing a sample scores plot for the 3-D. fluorescence spectra of a selected sample oil; and defining the sub-group within which the sample scores plot falls and, on the basis of the scores plots for the sub-group, forming a prediction model to predict the maturity of the sample oil. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14)
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11. A method as set forth in 1 wherein said step of collecting 3-D fluorescence spectra is further characterized in that:
the API°
gravity is known for each of the reference oils.
Specification