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PREDICTING SOLIDS CONTENT, BOILING POINT INFORMATION, AND MICRO CARBON RESIDUE CONTENT OF EXTRA HEAVY OIL SAMPLES USING LOW-FIELD TIME-DOMAIN NMR
PREDICTING SOLIDS CONTENT, BOILING POINT INFORMATION, AND MICRO CARBON RESIDUE CONTENT OF EXTRA HEAVY OIL SAMPLES USING LOW-FIELD TIME-DOMAIN NMR
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机译:使用低场时域NMR预测超重油样品的固体含量,沸点信息和微量碳残留量
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摘要
A method for predicting a solids content, boiling point information, and micro carbon residue content of an extra heavy oil test sample involves subjecting extra heavy oil calibration samples to T1-weighted T2 low-field NMR pulse sequences, and recording T1 and T2 relaxation information to generate a NMR calibration data set. A chemometric partial least squares calibration model is determined to relate the NMR calibration data set to reference values of properties of the calibration samples. Similarly, the extra heavy oil test sample is subjected to the NMR T1-weighted T2 low-field NMR pulse sequences, the resulting relaxation information is recorded to generate NMR test data. The properties of the test sample are predicted based on the PLS calibration model and the NMR test data. The test sample may be derived from a process stream for upgrading bitumen, and may contain significant amounts of solids and high boiling point hydrocarbons (e.g., 524°C).
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