Classification of deposits of the Dnipro-Donetsk oil and gas region by the content of metals in oils

IF 0.4 Q4 GEOSCIENCES, MULTIDISCIPLINARY Journal of Geology Geography and Geoecology Pub Date : 2022-09-22 DOI:10.15421/112243
V. Ishkov, A. Yerofieiev, O. Hryhoriev, M. Kozar, Stanislav Y. Bartashevsky
{"title":"Classification of deposits of the Dnipro-Donetsk oil and gas region by the content of metals in oils","authors":"V. Ishkov, A. Yerofieiev, O. Hryhoriev, M. Kozar, Stanislav Y. Bartashevsky","doi":"10.15421/112243","DOIUrl":null,"url":null,"abstract":"\n \n \nThe issues considered in the paper bear a direct relation to the disputable geo- chemical problems of the origin of oil – one of the main sources of modern energy gen- eration. Features of metal distribution in oils have not been studied yet, and natural classifications of oil fields of the Dnipro-Donets depression according to their contents have not been developed before. That stipulates the scientific novelty of the obtained results. Topicality and practical implications of the carried out studies are mainly in the fact the determined features of metal contents in oils and the classifications of deposits developed on their basis will favor the elaboration of a set of predictive criteria for industrial accumulations of hydrocarbons and scientific sub- stantiation of geological-economic, technological, and environmental estimation of their use. The objects of long-term studies include 36 oil fields: Bakhmatske; Prylutske; Krasnozaiarske; Kachalivske; Kremenivske; Karaikozovske; Korobochkynske; Kulychykhinske; Lipovodolynnske; Monastyrishchynske; Matlakhivske; Malosorochynske; Novomykolayivske; Perekopivske; Prokopenkivske; Radchenkovske; Raspashnovske; Sofiyivske; Sukhodolivske; Solontsivske; Solokhivske; Talalayivske; Trostianetske; Turutynske;Kharkovtsivske; Shchurynske; Yuryivske; Yaroshivske; Khukhrianske; Sahaidatske No 1; Sahaidatske No 13; Kybytsivske No 5; Ky- bytsivske No 51; Kybytsivske No 52; Kybytsivske No 56; and Kybytsivske No 1. They are located within the large tectonic structure of Eastern-European platform – Dnipro-Donets depression. The fields form the Dnipro-Donets oil and gas area of Ukraine. The paper is based on the results of studies of not less than 30 oil samples from each of the fields aimed at identification of metal content with the help of X-ray fluorescence analysis using energy-dispersion spectrometer «Sprut» SEF 01. Natural classification of oil fields in terms of content of each of the considered element have been developed basing on the results of cluster analyses implemented in terms of professional software platforms of versions STATISTICA 13.3 and IBM SPSS Statistics 22. The main scientific value of the obtained results is represented by the following: the development of natural classifications of oil fields of the Dnipro-Donets depression accord- ing to the results of cluster analysis of the content of metals, sulfur, and V/Ni ratio and substantiation of 5 new geochemical criteria for the division of fields formed by oils generated mostly by abiogenic or biogenic processes. \n \n \n","PeriodicalId":42282,"journal":{"name":"Journal of Geology Geography and Geoecology","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geology Geography and Geoecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15421/112243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 2

Abstract

The issues considered in the paper bear a direct relation to the disputable geo- chemical problems of the origin of oil – one of the main sources of modern energy gen- eration. Features of metal distribution in oils have not been studied yet, and natural classifications of oil fields of the Dnipro-Donets depression according to their contents have not been developed before. That stipulates the scientific novelty of the obtained results. Topicality and practical implications of the carried out studies are mainly in the fact the determined features of metal contents in oils and the classifications of deposits developed on their basis will favor the elaboration of a set of predictive criteria for industrial accumulations of hydrocarbons and scientific sub- stantiation of geological-economic, technological, and environmental estimation of their use. The objects of long-term studies include 36 oil fields: Bakhmatske; Prylutske; Krasnozaiarske; Kachalivske; Kremenivske; Karaikozovske; Korobochkynske; Kulychykhinske; Lipovodolynnske; Monastyrishchynske; Matlakhivske; Malosorochynske; Novomykolayivske; Perekopivske; Prokopenkivske; Radchenkovske; Raspashnovske; Sofiyivske; Sukhodolivske; Solontsivske; Solokhivske; Talalayivske; Trostianetske; Turutynske;Kharkovtsivske; Shchurynske; Yuryivske; Yaroshivske; Khukhrianske; Sahaidatske No 1; Sahaidatske No 13; Kybytsivske No 5; Ky- bytsivske No 51; Kybytsivske No 52; Kybytsivske No 56; and Kybytsivske No 1. They are located within the large tectonic structure of Eastern-European platform – Dnipro-Donets depression. The fields form the Dnipro-Donets oil and gas area of Ukraine. The paper is based on the results of studies of not less than 30 oil samples from each of the fields aimed at identification of metal content with the help of X-ray fluorescence analysis using energy-dispersion spectrometer «Sprut» SEF 01. Natural classification of oil fields in terms of content of each of the considered element have been developed basing on the results of cluster analyses implemented in terms of professional software platforms of versions STATISTICA 13.3 and IBM SPSS Statistics 22. The main scientific value of the obtained results is represented by the following: the development of natural classifications of oil fields of the Dnipro-Donets depression accord- ing to the results of cluster analysis of the content of metals, sulfur, and V/Ni ratio and substantiation of 5 new geochemical criteria for the division of fields formed by oils generated mostly by abiogenic or biogenic processes.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
第聂伯-顿涅茨克石油和天然气地区的矿床按石油中金属的含量分类
本文所讨论的问题与现代能源的主要来源之一——石油的起源这一有争议的地球化学问题直接相关。石油中金属的分布特征尚未研究,根据其含量对第聂伯-顿涅茨坳陷油田进行自然分类也未见进展。这就规定了所得结果的科学新颖性。所进行的研究的时效性和实际意义主要在于,确定了油中金属含量的特征,并在此基础上对矿床进行分类,这将有利于制定一套碳氢化合物工业积累的预测标准,并对其用途进行地质、经济、技术和环境评价的科学依据。长期研究对象包括36个油田:Bakhmatske油田;Prylutske;Krasnozaiarske;Kachalivske;Kremenivske;Karaikozovske;Korobochkynske;Kulychykhinske;Lipovodolynnske;Monastyrishchynske;Matlakhivske;Malosorochynske;Novomykolayivske;Perekopivske;Prokopenkivske;Radchenkovske;Raspashnovske;Sofiyivske;Sukhodolivske;Solontsivske;Solokhivske;Talalayivske;Trostianetske;Turutynske; Kharkovtsivske;Shchurynske;Yuryivske;Yaroshivske;Khukhrianske;Sahaidatske 1号;Sahaidatske 13号;Kybytsivske 5号;Ky- bytsivske 51号;Kybytsivske 52号;Kybytsivske 56号;和kybytsivke 1号。它们位于东欧地台-第聂伯-顿涅茨凹陷的大型构造构造内。这些油田位于乌克兰的第聂伯-顿涅茨石油和天然气区。该论文基于来自每个油田的不少于30个石油样品的研究结果,旨在利用能量色散光谱仪«Sprut»SEF 01进行x射线荧光分析,以确定金属含量。在专业软件平台STATISTICA 13.3和IBM SPSS Statistics 22中,基于聚类分析的结果,根据每个考虑元素的含量对油田进行了自然分类。研究结果的主要科学价值表现在:根据金属含量、硫含量和V/Ni比值的聚类分析结果,建立了第尼伯-顿涅茨凹陷油田的自然分类,并提出了5个新的非生物或生物成因油形成油田的地球化学划分标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Geology Geography and Geoecology
Journal of Geology Geography and Geoecology GEOSCIENCES, MULTIDISCIPLINARY-
自引率
40.00%
发文量
57
期刊最新文献
Application of GIS in Land Policy and Planning Strategies in Rural Revitalization The geography of public diplomacy of President of Ukraine Volodymyr Zelenskyy during the full-scale Russia-Ukraine war The assessment of tourist resources in Ukraine in the conditions of war Hydrogeochemical and water quality index (WQI) evaluated in Beedanahalli watershed T narasipura taluk mysore district, Karnataka, India The resource potential and scenarios for the rural tourism development in Aktobe oblast of the Republic of Kazakhstan
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1