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通过主要组件分析快速识别有效的石气库

Yuxia Wang¹, Jingzhe Guo², Zhanrong Ma³

¹Department of Geology, Northwest University, Xi'an, 710069, China.

Scientific reports

|October 8, 2024

概括

这项研究引入了一种新的方法,用于识别使用传统日志记录数据和主要组件分析 (PCA) 的石气库. 这种方法可以快速准确地识别水库,而不需要额外的测试.

科学领域:

地质地质地质地质地质地
石油工程是石油工程中的一个.
地质化学地质化学

背景情况:

来自奥尔多斯盆地的石储库的工业气体流需要高效的勘探方法.
准确识别含有的岩石储库对于优化天然气开采至关重要.

研究的目的:

开发一种快速而准确的方法,使用传统的日志记录数据来识别石气库.
建立基于采伐曲线的Al2O3含量和石质学的预测模型.

主要方法:

主要元素测试和岩石薄片的识别.
主要组件分析 (PCA) 用于减少采伐曲线的维度.
开发石质识别图和采伐识别模型.

主要成果:

主要元素的垂直分层和三种不同的石质学被确定在Al载岩系列中.
溶解孔在富含Al的层中更发达,与Al2O3含量相关.
PCA有效地避免了记录数据中的多对线性导致的模型扭曲.

结论:

通过使用常规采伐和PCA,建立了一种用于快速和准确识别石矿库的新方法.
开发的模型准确地预测了Al2O3含量,并确定了有效的储量库.
这种技术消除了对补充测试数据的需求,简化了勘探和开发.

关键词:

含的岩石是一种含的岩石.石是一种石.有效储水池的实际储水量线性维度缩小线性维度缩小记录记录的识别方式主要组件分析的主要组件分析.

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