气候变化领域集成服务门户(CCPortal): Mineralogical composition and total organic carbon quantification using X-ray fluorescence data from the Upper Cretaceous Eagle Ford Group in southern Texas

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DOI	10.1306/04151918090
	Mineralogical composition and total organic carbon quantification using X-ray fluorescence data from the Upper Cretaceous Eagle Ford Group in southern Texas
	Alnahwi A.; Loucks R.G.
发表日期	2019
ISSN	0149-1423
起始页码	2891
结束页码	2907
卷号	103 期号:12
英文摘要	Six southern Texas Eagle Ford cores were investigated to quantify mineralogical composition and total organic carbon (TOC). Machine learning of the X-ray fluorescence (XRF) data set was conducted using neural network analysis to predict mineralogies for L1, L2, and L3 and TOC for L1, L2, L3, Iona-1, Innes-1, and well "X."Inees-1 and well "X"were used as blind tests to check the quality of the developed models. The online Neural Designer software was used to perform the training process and develop models. Quantitative laboratory-measured X-ray diffraction (XRD) mineralogies and TOC were used to conduct the training and develop high-resolution semiquantitative models, and the derived mineralogic and organic matter models were found to be promising. The modeled mineralogy and TOC represent continuous relative abundances, which are far more significant than scattered individual XRD and TOC point measurements. The significance of this study is that it allows for the use of relatively inexpensive and nondestructive XRF analysis that requires minimal sample preparation to construct high-resolution mineral abundances and TOC content. With modern advances in technology, XRF can now be measured on drill cuttings in real time while drilling is occurring, allowing operators to use the proposed method to construct semiquantitative mineralogical and TOC models for evaluating placement of laterals in prospective intervals and designing completion techniques accordingly. © 2019 The American Association of Petroleum Geologists. All rights reserved.
语种	英语
scopus关键词	Fluorescence; Infill drilling; Minerals; X ray diffraction; Mineralogical compositions; Point measurement; Relative abundance; Sample preparation; Semiquantitative model; Total Organic Carbon; Training process; X ray fluorescence; Organic carbon; artificial neural network; chemical composition; Cretaceous; Internet; machine learning; organic matter; quantitative analysis; total organic carbon; X-ray fluorescence; Texas; United States
来源期刊	AAPG Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/143741
作者单位	Emerging Unconventional Assets Department, Saudi Aramco, Dhahran, Saudi Arabia; Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, University of Texas at Austin, Austin, TX, United States
推荐引用方式 GB/T 7714	Alnahwi A.,Loucks R.G.. Mineralogical composition and total organic carbon quantification using X-ray fluorescence data from the Upper Cretaceous Eagle Ford Group in southern Texas[J],2019,103(12).
APA	Alnahwi A.,&Loucks R.G..(2019).Mineralogical composition and total organic carbon quantification using X-ray fluorescence data from the Upper Cretaceous Eagle Ford Group in southern Texas.AAPG Bulletin,103(12).
MLA	Alnahwi A.,et al."Mineralogical composition and total organic carbon quantification using X-ray fluorescence data from the Upper Cretaceous Eagle Ford Group in southern Texas".AAPG Bulletin 103.12(2019).