GSTDTAP  > 地球科学
DOI10.1306/10142019105
Application of principal component analysis on chemical data for reservoir correlation: A case study from Cretaceous carbonate sedimentary rocks, Saudi Arabia
Nikolaos A. Michael; Neil W. Craigie
2021-04-15
发表期刊AAPG Bulletin
出版年2021
英文摘要

A new method is presented to identify chemostratigraphic zones by applying principal component (PC) analysis and to interpret geological boundaries based on PC curves. The PC data were calculated using inductively coupled plasma–optical emission spectrometry and inductively coupled plasma–mass spectrometry, with data acquired for 50 chemical elements in the range Na–U. In the present study, a total of 832 core and cuttings samples were analyzed from four wells penetrating the Cretaceous Wasia Formation, southeastern Saudi Arabia.

The conventional workflow involves plotting profiles for elements and elemental ratios, with 250 to 300 profiles produced for each study section. With so many variables to consider, it is a challenging and time-consuming process to produce chemostratigraphic frameworks, requiring expert knowledge of chemostratigraphy. By using only a few PC curves, as opposed to element or ratio profiles, it is easier for nonexperts to identify correlative boundaries. The PC parameters reflect changes in more than one group of elements and summarize geological changes. For example, in this study, PC2 parameter values relate to changes in depositional redox conditions.

A close association was revealed between boundaries identified using PC and boundaries from an existing conventional chemostratigraphic study on the same wells. For example, PC zone E1-3 relates to the conventional zones C3-1b. The fact that some PC and conventional chemostratigraphic boundaries do not always coincide (e.g., conventional boundaries C2-1:C2-2 and C2-2:C2-3 exist within PC zone E2-1) means that the integrated correlation scheme is of higher resolution if these techniques were employed in isolation.

领域地球科学
URL查看原文
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/322768
专题地球科学
推荐引用方式
GB/T 7714
Nikolaos A. Michael,Neil W. Craigie. Application of principal component analysis on chemical data for reservoir correlation: A case study from Cretaceous carbonate sedimentary rocks, Saudi Arabia[J]. AAPG Bulletin,2021.
APA Nikolaos A. Michael,&Neil W. Craigie.(2021).Application of principal component analysis on chemical data for reservoir correlation: A case study from Cretaceous carbonate sedimentary rocks, Saudi Arabia.AAPG Bulletin.
MLA Nikolaos A. Michael,et al."Application of principal component analysis on chemical data for reservoir correlation: A case study from Cretaceous carbonate sedimentary rocks, Saudi Arabia".AAPG Bulletin (2021).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Nikolaos A. Michael]的文章
[Neil W. Craigie]的文章
百度学术
百度学术中相似的文章
[Nikolaos A. Michael]的文章
[Neil W. Craigie]的文章
必应学术
必应学术中相似的文章
[Nikolaos A. Michael]的文章
[Neil W. Craigie]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。