首页> 外国专利> 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

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

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.).
机译:一种预测超重油测试样品的固含量,沸点信息和微量碳残留量的方法,包括对超重油校准样品进行T 1 加权T 2 低场NMR脉冲序列,并记录T 1 和T 2 松弛信息以生成NMR校准数据集。确定化学计量偏最小二乘校准模型,以将NMR校准数据集与校准样品的特性参考值相关联。同样,对超重油测试样品进行NMR T 1 加权的T 2 低场NMR脉冲序列,记录所得弛豫信息以生成NMR测试数据。根据PLS校准模型和NMR测试数据预测测试样品的特性。所述测试样品可以来自用于提质沥青的工艺流,并且可以包含大量的固体和高沸点烃(例如,> 524℃)。

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