Application of Well Logging Techniques for Identification of Coal Seams: A Case Study of Auranga Coalfield, Latehar District, Jharkhand State, India

J. Srinaiah, D. Raju, G. Udayalaxmi, G. Ramadass
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引用次数: 4

Abstract

Application of well logging techniques comprising density, short normal resistivity, long normal resistivity, resistance, self-potential, natural gamma and calliper logs from five wells in Auranga coal field Jharkhand state India, were (The analysis was) carried out to evaluate the fields coal seams prospect i.e. identify lithology and study physical properties based on log data from the five boreholes. We have been identified from combined signatures of available physical properties logs against coal seams and non-coal litho units. Data was acquired and interpreted by software’s Robertson geologging win logger and Well cad software (Version 6.3) respectively. The coal seams are in between shale or sandstone.
测井技术在煤层识别中的应用——以印度贾坎德邦Latehar地区Auranga煤田为例
通过对印度贾坎德邦Auranga煤田5口井的测井技术(包括密度测井、短正电阻率测井、长正电阻率测井、电阻测井、自电位测井、自然伽马测井和井径测井)进行分析,评价该煤田的煤层前景,即根据5口井的测井数据进行岩性识别和物性研究。我们已经从煤层和非煤岩性单元的可用物性测井资料的综合特征中确定了这一点。数据分别由软件的Robertson地质测井仪和Well cad软件(Version 6.3)获取和解释。煤层位于页岩或砂岩之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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