{"title":"Predicting the strength, density, and porosity of rocks from roll crusher tests","authors":"S. Kahraman, I. Ince, M. Rostami̇, B. Di̇bavar","doi":"10.17159/2411-9717/1528/2024","DOIUrl":null,"url":null,"abstract":"The density, porosity, and strength of rocks are fundamental in the design of geo-engineering projects. Determining these properties requires the preparation of smooth core samples, which is usually impossible for soft rocks. Besides, only fragmented samples may be available in some projects. A method for predicting rock properties from rock particles such as drilling debris would therefore be useful. This study was undertaken to develop prediction equations for compressive strength (UCS), tensile strength (BTS), density, and porosity values from the crushability index (CI) obtained from rock fragments. The results showed that UCS, BTS, density, and porosity were strongly correlated with the CI. The physical characteristics and strength of rocks may be predicted with the help of the derived equations. The CI test is a valuable tool for estimating rock properties in drilling projects and in situations where core specimens are not available.","PeriodicalId":49025,"journal":{"name":"Journal of the Southern African Institute of Mining and Metallurgy","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Southern African Institute of Mining and Metallurgy","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.17159/2411-9717/1528/2024","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METALLURGY & METALLURGICAL ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
The density, porosity, and strength of rocks are fundamental in the design of geo-engineering projects. Determining these properties requires the preparation of smooth core samples, which is usually impossible for soft rocks. Besides, only fragmented samples may be available in some projects. A method for predicting rock properties from rock particles such as drilling debris would therefore be useful. This study was undertaken to develop prediction equations for compressive strength (UCS), tensile strength (BTS), density, and porosity values from the crushability index (CI) obtained from rock fragments. The results showed that UCS, BTS, density, and porosity were strongly correlated with the CI. The physical characteristics and strength of rocks may be predicted with the help of the derived equations. The CI test is a valuable tool for estimating rock properties in drilling projects and in situations where core specimens are not available.
岩石的密度、孔隙度和强度是设计地质工程项目的基础。确定这些属性需要制备光滑的岩芯样本,而这对于软岩来说通常是不可能的。此外,在某些项目中,可能只能获得破碎的样本。因此,从钻屑等岩石颗粒中预测岩石属性的方法非常有用。本研究旨在根据从岩石碎片中获得的可压碎性指数(CI),建立抗压强度(UCS)、抗拉强度(BTS)、密度和孔隙度值的预测方程。结果表明,UCS、BTS、密度和孔隙度与 CI 密切相关。岩石的物理特性和强度可借助推导出的方程式进行预测。CI 试验是在钻探项目中以及在没有岩心标本的情况下估算岩石特性的重要工具。
期刊介绍:
The Journal serves as a medium for the publication of high quality scientific papers. This requires that the papers that are submitted for publication are properly and fairly refereed and edited. This process will maintain the high quality of the presentation of the paper and ensure that the technical content is in line with the accepted norms of scientific integrity.