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通过激光诱导分解光谱学对含有卜的钻孔芯样本的模态矿物学量化

Jonnathan Álvarez¹, Germán Velásquez¹, Iván Arévalo¹

¹Instituto de Geología Económica Aplicada (GEA), Universidad de Concepción, Concepción, Chile.

|January 15, 2025

概括

这项研究引入了一种使用激光诱导分解光谱 (LIBS) 和人工神经网络 (ANN) 的新方法,用于快速,自动地在钻井芯中量化矿物质. 这种技术尽量减少样品的准备和专家的判断,以便进行高效的地质分析.

科学领域:

地质科学地质科学是指地球科学.
分析化学分析化学
矿物学是什么?矿物学是什么?

背景情况:

模态矿物学量化对于地质学理解和采矿中的金属转移至关重要.
传统方法涉及钻井核心登录,岩石学和基于SEM的自动化矿物学,这些都是耗时的,需要样本选择/准备.

研究的目的:

开发和验证一种使用激光诱导分解光谱 (LIBS) 在钻芯样本中直接模态矿物学量化的新方法.
通过光谱信号组合和化学测量来识别"矿物学模式"来自动化矿物质分类.

主要方法:

使用激光诱导分解光谱 (LIBS) 来直接从钻芯样本中获取元素光谱数据.
通过将特定矿物中相互关联的元素的光谱信号结合起来,开发出"矿物学模式".
应用监督化学测量,特别是人工神经网络 (ANN),用于自动化矿物质分类和量化.

主要成果:

直接在钻井核心样本上实现了自动化矿物质量定量,与传统的岩石和QEMSCAN分析相比.
在含有的样本中成功量化了关键矿物质,包括卜丁,,血/磁,石英和酸.
显著减少了样品准备要求,并消除了定量过程中的专家判断.

结论:

LIBS-ANN技术提供了一种高效和自动化的方法,用于直接在钻孔芯上进行模态矿物学量化.
这种新的方法最大限度地减少了样本准备,减少了分析时间,并提供了与既定技术相比的结果.
与ANN结合的"矿物学模式"方法显示出在采矿操作中快速地质表征的前景.

关键词:

在LIBS中,LIBS是指LIBS.矿物质学成像成像技术模式矿物学模式矿物学卜丁酸盐是一种卜丁酸盐.

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