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Determining the content of bitumen, water and solids in oil sands 'ore' using low-field nuclear magnetic resonance.

机译:使用低场核磁共振法测定油砂“矿石”中沥青,水和固体的含量。

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摘要

Low-field nuclear magnetic resonance (NMR) logging has been used to characterize the formation fluids for reservoir evaluation and assess the formation producibility since the 1990s. Alberta's oil sands, the largest source of bitumen in the world, are making a greater contribution to the world oil supply. In order to evaluate the oil sands potential resource, optimize the processibility of the oil sands and generate the maximum economic returns, it is necessary to determine the amount of bitumen, water and solids properly. Low-field NMR technology has been proven to be a fast and non-destructive method to predict the content of bitumen and water. However, it has been found in previous studies that in most case, the signals from clay bound water and bitumen overlap, thus the estimation of fluid content needs correction.; In this work, to replace the time-consuming and expensive Dean-Stark extraction method, a fast, simple, non-invasive and cost-efficient method was proposed. A densitometry technique, with simultaneous pore volume measurement, is developed to provide the volume of the ore sample and complement the NMR and weight measurements. A density algorithm is introduced to determine fluid and solid content. Results from pore volume measurement are comparable with those from Dean-Stark extraction and conventional low-field NMR. Particle size distribution provides additional verification for the results from the NMR measurement. A combined NMR-pore volume technique has been applied to the samples from two different geological depositional environments and four wells, and the results have been encouraging.
机译:自1990年代以来,低场核磁共振(NMR)测井已被用于表征地层流体以进行储层评估并评估地层的可生产性。艾伯塔省的油砂是世界上最大的沥青来源,正在为世界石油供应做出更大的贡献。为了评估油砂的潜在资源,优化油砂的可加工性并产生最大的经济回报,有必要适当确定沥青,水和固体的含量。低场核磁共振技术已被证明是预测沥青和水含量的一种快速且无损的方法。然而,在先前的研究中发现,在大多数情况下,黏土结合水和沥青的信号重叠,因此流体含量的估计需要校正。在这项工作中,为了取代费时且昂贵的Dean-Stark提取方法,提出了一种快速,简单,无创且具有成本效益的方法。开发了一种同时进行孔体积测量的光密度测定技术,以提供矿石样品的体积并补充NMR和重量测量。引入密度算法来确定流体和固体含量。孔体积测量的结果与Dean-Stark萃取和常规低场NMR的结果相当。粒度分布为NMR测量结果提供了额外的验证。组合的NMR孔体积技术已应用于来自两个不同地质沉积环境和四个井的样品,结果令人鼓舞。

著录项

  • 作者

    Niu, Yanping.;

  • 作者单位

    University of Calgary (Canada).;

  • 授予单位 University of Calgary (Canada).;
  • 学科 Geology.
  • 学位 M.Sc.
  • 年度 2007
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地质学;
  • 关键词

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