| 注册
首页|期刊导航|石油实验地质|分层抽样方法在岩心柱取样中的应用

分层抽样方法在岩心柱取样中的应用

吕洲 王玉普 李莉 吉伟平 侯秀林 刘达望 葛政廷 李扬

石油实验地质2018,Vol.40Issue(2):274-279,6.
石油实验地质2018,Vol.40Issue(2):274-279,6.DOI:10.11781/sysydz201802274

分层抽样方法在岩心柱取样中的应用

Application of stratified sampling method in core plug sampling

吕洲 1王玉普 2李莉 3吉伟平 1侯秀林 4刘达望 1葛政廷 1李扬4

作者信息

  • 1. 中国石油勘探开发研究院,北京 100083
  • 2. 中国工程院,北京 100088
  • 3. 中国石油化工集团公司,北京 100728
  • 4. 中国石油 长庆油田公司,西安 710018
  • 折叠

摘要

Abstract

The data obtained from reservoir core experiments are the basis of geological research,logging interpre-tation and oil and gas reservoir engineering calculations. The selection of a sample plug is the first step in a reser-voir core experiment,and its sampling accuracy has an important effect on experiment results. When the sample number is limited,the conventional random sampling cannot meet the requirements of measurement accuracy. In view of the limitations of the traditional sampling methods, this paper described the principle of a stratified sampling method, and discussed its selection criteria. Based on measured data, the Monte Carlo algorithm was implemented using Visual Basic programming, and the measurement accuracy of random sampling and stratified sampling was compared. The results showed that, the data accuracy of stratified sampling was better than that of simple random sampling under the same sampling quantity. Therefore, according to the requirements of different experiments,a selection method of core plug samples based on stratified sampling was proposed. The method can estimate sampling accuracy and design a reasonable number of samples accordingly. When the number of experi-ment samples is limited,the sampling accuracy can be improved effectively.

关键词

分层抽样/岩心取样/储层实验

Key words

stratified sampling/core sampling/reservoir experiment

分类

能源科技

引用本文复制引用

吕洲,王玉普,李莉,吉伟平,侯秀林,刘达望,葛政廷,李扬..分层抽样方法在岩心柱取样中的应用[J].石油实验地质,2018,40(2):274-279,6.

基金项目

国家科技重大专项(2017ZX05013-006)和中国石油天然气股份有限公司科学研究与技术开发项目(2016B-1306)联合资助. (2017ZX05013-006)

石油实验地质

OA北大核心CSCDCSTPCD

1001-6112

访问量6
|
下载量0
段落导航相关论文