首页> 外文学位 >Data analysis and summary for surfactant-polymer flooding based on oil field projects and laboratory data.
【24h】

Data analysis and summary for surfactant-polymer flooding based on oil field projects and laboratory data.

机译:基于油田项目和实验室数据的表面活性剂-聚合物驱数据分析和摘要。

获取原文
获取原文并翻译 | 示例

摘要

Enhanced oil recovery screening is considered as an important first step towards evaluating a potential EOR technique for a candidate reservoir. A vast amount of research is continuously been conducted in EOR. Therefore, it is imperative to update the screening criteria regularly.;This study involves updating the screening criteria for surfactant polymer flooding for field projects dataset and laboratory dataset. Many of the screening criteria for surfactant-polymer flooding in the literature were achieved on the basis of data collected from the EOR surveys published biennially in Oil & Gas Journals. However, these datasets contain problems like missing data and inconsistent data. Data quality has not been addressed in the previous works in the literature on screening criteria. The objective of this study was to update achieve a range for 42 surfactant-polymer projects after the data. Another comprehensive work of this study was to establish a range for laboratory dataset consisting of 200 experiments.;Box-plots and Cross-plots were used to study the dataset for special cases or inconsistent data. Histograms and box-plots were used to exhibit the distribution of each parameter and present the range of the dataset.;Eventually, the ranges for field projects were compared with the screening criteria previously published in the literature. Also, the developed screening criteria for laboratory work were compared with the developed screening criteria for oilfield projects.
机译:增强油采收率筛选被认为是评估候选储层潜在EOR技术的重要第一步。在提高采收率方面一直在进行大量研究。因此,必须定期更新筛选标准。本研究涉及为现场项目数据集和实验室数据集更新表面活性剂聚合物驱的筛选标准。文献中许多表面活性剂-聚合物驱的筛选标准是根据两年两次在《石油和天然气》杂志上发表的EOR调查收集的数据实现的。但是,这些数据集包含诸如数据丢失和数据不一致之类的问题。以前关于筛选标准的文献中尚未解决数据质量问题。这项研究的目的是在数据之后更新实现42个表面活性剂-聚合物项目的范围。这项研究的另一项综合工作是建立一个包含200个实验的实验室数据集范围。使用箱形图和交叉图研究特殊情况或数据不一致的数据集。直方图和箱形图用于显示每个参数的分布并显示数据集的范围。最终,将田间项目的范围与文献中先前公布的筛选标准进行比较。此外,将针对实验室工作制定的筛选标准与针对油田项目制定的筛选标准进行了比较。

著录项

  • 作者

    Chauhan, Pratap D.;

  • 作者单位

    Missouri University of Science and Technology.;

  • 授予单位 Missouri University of Science and Technology.;
  • 学科 Petroleum engineering.
  • 学位 M.E.
  • 年度 2014
  • 页码 102 p.
  • 总页数 102
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:35

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号