氧闭合模型在元素录井中的探索应用

doi:10.3969/j.issn.1672-9803.2022.04.003

摘要/Abstract

摘要： X射线荧光元素录井技术为复杂、细小岩屑的岩性识别提供了新方法,同时也极大地推动岩屑录井迈向定量化应用新阶段,并在录井现场得到了普遍应用。由于仪器型号类型多样、设备老化、标定和校准方式单一等诸多因素,元素录井现场数据稳定性和井间对比性均与实验室分析数据存在不同程度的差异,给后续的研究带来一定的难度。为此,通过实验室精度更高的波长色散X射线荧光光谱仪对岩屑进行二次分析,利用灰色关联度分析,建立基于多元线性回归分析的氧化物闭合模型,对现场元素录井数据进行规范化校正处理,大幅提升了现场数据的准确度和井间对比性。基于多元线性回归分析的氧化物闭合模型强调单纯的数学回归统计,不受地质因素影响,对使用人员的地质经验要求不高,现场可操作性强,具有推广应用价值。

关键词: 元素录井, 灰色关联分析, 多元线性回归, 氧化物闭合模型

Abstract: X-ray fluorescence element logging technology provides an innovative method for lithology identification of complex and fine rock chips, and also greatly promotes rock chip logging to a new level of quantitative application, which has been commonly used in logging sites. Due to many factors such as various types of instrumentation, aging equipment, and a single method of calibration and alignment, the stability of data and inter-well comparability of element logging field data differ to varying degrees from laboratory analysis data, making subsequent research difficult. In this article, the secondary analysis of rock chips is performed by a wavelength dispersive X-ray fluorescence spectrometer with higher accuracy in the laboratory, and an Oxide Closure Model based on multiple linear regression analysis is established using gray relation analysis to normalize and correct the field element logging data, which greatly improves the accuracy and inter-well comparability of field data. The oxide closure model based on multiple linear regression analysis emphasizes pure mathematical regression statistics without adding any geological significance, requiring little geological experience of the user, and is highly operable in the field.

Key words: element logging, gray relation analysis, multiple linear regression, Oxide Closure Model

中图分类号:

TE132.1

韩学彪, 袁胜斌, 陈伟, 张文颖. 氧闭合模型在元素录井中的探索应用[J]. 录井工程, 2022, 33(4): 13-18.

HAN Xuebiao, YUAN Shengbin, CHEN Wei, ZHANG Wenying. Exploration and application of Oxide Closure Model in element logging[J]. Mud Logging Engineering, 2022, 33(4): 13-18.

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