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Data Analysis and Novel Screening Criteria for Polymer Flooding Based on a Comprehensive Database

机译:基于全面数据库的聚合物洪水数据分析和新颖筛选标准

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Screening is considered the first step in evaluating potential enhanced oil recovery (EOR) techniques for candidate reservoirs; therefore, it is important to update the screening criteria as new technologies are developed. However, most recently published screening criteria regarding polymer flooding were based on data collected from the bi-annual EOR surveys published by the Oil & Gas Journal. These data recorded valuable information for finished and ongoing polymer flooding worldwide, but they are constrained in two ways. Firstly, they do not include some important information, such as the formation water salinity, divalent concentration, and polymer type and concentration. Secondly, the field data do not reflect recent polymer technology developments that are still in the laboratory evaluation and pilot testing stages. To overcome these limitations, a comprehensive dataset that provides the overall picture of polymer flooding research and application is presented in this paper. A total of 865 polymer flooding projects were considered to construct the dataset, including 481 field projects from the Oil & Gas Journal (1974-2012), 329 laboratory experiments (1964-2013), and 55 pilot test projects (1966-2011) recorded in the literature. After enhancing the data quality, graphical and statistical methods were used to analyze and describe the dataset. The distribution of major parameters important to polymer flooding design is presented using histograms, and the range of all parameters and their statistical values are presented using box plots. New screening criteria are presented based on these statistics of the defined parameters. Compared to published screening analyses, the new dataset and criteria provide more information critical to the design of a successful polymer flooding project, such as data pertaining to the formation water salinity, polymer molecular weight and concentration, polymer viscosity, and slug size.
机译:筛选被认为在评估候选储层潜在强化油采收(EOR)方法的第一步;因此,随着新技术的开发,以更新的筛选标准是很重要的。然而,关于聚合物驱最新发布的筛选标准是基于由石油与天然气杂志公布了两年一度的EOR调查收集的数据。这些数据记录完成和正在进行的聚合物驱全世界有价值的信息,但他们在两个方面的限制。首先,它们不包括一些重要的信息,如地层水盐度,二价浓度,聚合物的类型和浓度。其次,本场数据没有反映最近的聚合物技术的发展仍处于实验室评估和试验测试阶段。为了克服这些限制,全面的数据集提供了聚合物驱油研究和应用的整体画面呈现在本文中。共有865个聚合物驱项目被认为是构建的数据集,包括来自石油与天然气杂志记录481个字段项目(1974年至2012年),329个实验室实验(1964年至2013年),和55个的导频测试项目(2066至11年)在文献中。提高数据质量之后,使用图形和统计方法分析和描述数据集。用柱状图呈现的主要参数,以聚合物驱设计重要的分布,并采用箱线图呈现所有参数和他们的统计值的范围。新的筛选标准是基于定义的参数的这些统计数据呈现。相比出版筛选分析中,新的数据集和标准提供诸如关于地层水盐度,聚合物分子量和浓度,聚合物的粘度,和段塞大小的数据到一个成功的聚合物驱项目的设计关键的更多信息,。

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