一项基于石化物理和集群分析方法的比较研究,用于识别异质砂岩水库中的岩石类型
Muhammad Nofal Munir1,2, Mohammad Zafar1, Abid Ali3
1Department of Earth and Environmental Sciences, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad 44000, Pakistan.
ACS omega
|August 12, 2024
概括
这项研究使用K-means集群分析来识别Pab形成中井日志中的水库岩类. 这种具有成本效益的方法准确地分类了岩石类型,改善了在异质水库中的勘探.
科学领域:
- 地质科学是地球科学.
- 石油工程是石油工程中的一个.
- 数据分析 数据分析
背景情况:
- 有效的水库表征对于碳化合物勘探和生产至关重要.
- 像Pab形成这样的异质水库对传统的勘探方法构成挑战,原因是炼的成本和时间限制.
- 在没有核心数据的情况下,井日志分析和电面对于理解水库属性至关重要.
研究的目的:
- 应用集群分析来识别Pab形成中的水库岩石类型.
- 开发一种具有成本效益和效率的方法,用于划定异质水库中感兴趣的区域.
- 建立一个连续的岩石类型识别技术,以改善水库建模.
主要方法:
- 利用K-means集群分析来定义基于井日志响应的电面.
- 将电流分为四种不同的岩石类型,从容器质量差到优良.
- 进行了井对井的相关性,以绘制整个研究区域的电面和岩石类型分布图.
主要成果:
- 在Pab形成的四个井中成功地分类了水库岩类.
- 在Zamzama-02和Zamzama-05井的下方部分确定了优良的水库质量 (岩石类型4).
- 在Zamzama-03井中确定了良好到中等的水库质量 (岩石类型3和2),表明了空间异质性.
结论:
- 集群分析提供了一种准确,成本高效和时间高效的方法,用于在异质的砂岩水库中的岩石类型.
- 开发的方法允许连续识别岩石类型,增强水库建模和开发策略.
- 这种技术适用于Pab形成和其他全球类似的异质砂岩水库.
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