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Viscosity Predictions for Crude Oils and Crude Oil Emulsions Using Low Field NMR

机译:使用低场NMR预测原油和原油乳液的粘度

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摘要

Knowledge of oil viscosity is vital to the petroleum industry,rnand is especially important when considering production ofrnheavy oil and bitumen. As viscosity increases, conventionalrnmeasurements become progressively less accurate and morerndifficult to obtain. Oil viscosities measured in the lab mayrnalso be not indicative of true in-situ viscosities. An alternaternmethod is required for predicting oil viscosity, especially ifrnthis method can be applied in-situ. Stable crude oil emulsionsrnare prevalent in many stages of the production and transport ofrnheavy oil and bitumen. Knowledge of emulsion viscosity isrnnecessary for determining energy requirements for transportrnand upgrading of the produced crude.rnLow field nuclear magnetic resonance is examined in thisrnwork for its potential to predict viscosity of crude oil andrncrude oil emulsions. NMR is an attractive alternative tornconventional viscosity measurements, because it can providernfast, unbiased and non-destructive data. A correlation isrnpresented that predicts fluid viscosities from under 1 cP tornover 3 000 000 cP over 25 – 80°C, making it valid over arnwider range of viscosities and temperatures than any otherrnpublished NMR viscosity correlation. With tuning, this modelrncan predict very accurate changes in viscosity withrntemperature for a single oil. An NMR emulsion viscosityrnmodel is also presented that uses the oil viscosity and waterrnfraction, both determined from NMR, to predict emulsionrnviscosity. This correlation is able to provide order ofrnmagnitude emulsion viscosity predictions for a wide range ofrnemulsion water cuts and viscosities. Work has also been donernto extend the viscosity predictions to in-situ viscosityrnmeasurements, which can then be extracted from logs.rnPreliminary findings on in-situ oil viscosity are encouraging,rnand indicate that NMR has great potential as a tool for in-siturnviscosity determination.
机译:对油的粘度的了解对石油工业至关重要,并且在考虑生产重油和沥青时尤为重要。随着粘度的增加,常规测量变得越来越不准确,并且越来越难以获得。在实验室中测得的油粘度也不能表示真实的原位粘度。需要一种替代方法来预测油的粘度,特别是如果可以现场应用此方法。在重油和沥青的生产和运输的许多阶段,稳定的原油乳液普遍存在。乳液粘度的知识对于确定运输所需的原油和提质原油的能量需求是必要的。在此,对低场核磁共振技术预测原油和原油乳液的粘度进行了研究。 NMR是常规粘度测量的一种有吸引力的替代方法,因为它可以提供快速,无偏和无损的数据。提出了一种相关性,可以预测流体粘度在25 – 80°C下从1 cP以下撕裂到3 000 000 cP,比任何其他已发表的NMR粘度相关性都更适用于更大的粘度和温度范围。通过调整,该模型可以预测单个油的粘度随温度的非常精确的变化。还提出了NMR乳液粘度模型,该模型使用均由NMR确定的油粘度和水馏分来预测乳液粘度。这种相关性能够为各种乳液含水率和粘度提供数量级的乳液粘度预测。还进行了将粘度预测扩展到原位粘度测量的工作,然后可以从测井中提取粘度预测值。原位油粘度的初步发现令人鼓舞,并且表明NMR作为确定原位粘度的工具具有巨大潜力。

著录项

  • 来源
  • 会议地点 San Antonio TX(US);San Antonio TX(US)
  • 作者单位

    Department of Chemical and Petroleum Engineering, University of Calgary rnTomographic Imaging and Porous Media Laboratory;

    rnDepartment of Chemical and Petroleum Engineering, University of Calgary rnTomographic Imaging and Porous Media Laboratory;

    rnDepartment of Chemical and Petroleum Engineering, University of Calgary;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 石油、天然气加工工业;
  • 关键词

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