Prediction of engineering properties of a selected litharenite sandstone from its petrographic characteristics using correlation and multivariate statistical techniques

Ulusay, Reşat; Türeli, K.; Ider, M.H.

doi:10.1016/0013-7952(94)90029-9

Cited by 200 publications

(61 citation statements)

References 15 publications

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“…A number of authors have discussed correlations between the petrographical and mechanical properties of common rocks such as granite, sandstone, limestone, shale, etc. (see, for example , Bell 1978;Sachpazis 1990;Ghafoori et al 1993;Ulusay et al 1994;Shakoor and Brown 1996;Topal and Doyuran 1997;Bell and Lindsay 1999;Tugrul and Zarif 1999). The present study reports data on core samples collected from 19 wells in the Krishna-Godavari (K-G) and Cauvery basins, both onshore and offshore.…”

Section: Introductionmentioning

confidence: 97%

Petrophysical and geomechanical properties of rocks from the oilfields of the Krishna-Godavari and Cauvery Basins, India

Chatterjee

Mukhopadhyay

2002

Bulletin of Engineering Geology and the Environment

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The petrophysical and mechanical properties of reservoir rocks from two major basins on the east coast of India were studied using samples cored from 19 wells in the Krishna-Godavari and Cauvery basins. Several of these drill holes are located in the producing oil®elds in these basins. The purpose of the study was to investigate the relationships between the properties of the rocks including dry density, effective porosity, uniaxial compressive strength, tensile strength and Young's modulus. Their relationships are further elucidated using regression analyses. The results indicated that the petrophysical and geomechanical properties vary widely for the different sedimentary rocks and basement samples related to their depth and geological age. It is emphasized that the work should be further extended to assess its full potential in reservoir studies of the oil®elds in these basins.

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Section: Introductionmentioning

confidence: 97%

Petrophysical and geomechanical properties of rocks from the oilfields of the Krishna-Godavari and Cauvery Basins, India

Chatterjee

Mukhopadhyay

2002

Bulletin of Engineering Geology and the Environment

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“…At the same time, it has been known for some time that data analyses are useful tools in engineering geology [14]. More recent studies have demonstrated the applicability of multivariate data analyses in various elds of engineering geology such as rock engineering [15,16], soil liquefaction [17], landslide susceptibility analyses [18][19][20] and even in investigating the correlation between clay mineralogy and shear strength of soils [21]. The present paper attempts to gain new insights into the problem of engineering geological data analysis by using a data set of mechanical parameters obtained from laboratory tests during the construction of a new metro line in Budapest.…”

Section: Introductionmentioning

confidence: 99%

The application of multivariate data analysis in the interpretation of engineering geological parameters

2016

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Abstract:The paper presents the evaluation of engineering geological laboratory test results of core drillings along the new metro line (line 4) in Budapest by using a multivariate data analysis. A data set of 30 core drillings with a total coring length of over 1500 meters was studied. Of the eleven engineering geological parameters considered in this study, only the ve most reliable (void ratio, dry bulk density, angle of internal friction, cohesion and compressive strength) representing 1260 data points were used for multivariate (cluster and discriminant) analyses. To test the results of the cluster analysis discriminant analysis was used. The results suggest that the use of multivariate analyses allows the identi cation of di erent groups of sediments even when the data sets are overlapping and contain several uncertainties. The tests also prove that the use of these methods for seemingly very scattered parameters is crucial in obtaining reliable engineering geological data for design.

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“…Several petrographic and weathering indices related to chemical, petrological and mechanical properties, have been suggested to identify the impact of alteration on rock properties in different lithologies (Ulusay et al, 1994;Tamrakar et al, 2007;Ceryan et al, 2008;Yildiz et al, 2010;Pola et al, 2012Pola et al, , 2014.…”

Section: Introductionmentioning

confidence: 99%

The development and application of the alteration strength index equation

Wyering

Villeneuve

Wallis

et al. 2015

Engineering Geology

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We have developed an alteration strength index (ASI) equation to address the effect of hydrothermal alteration on mechanical rock properties. This equation can be used to estimate a range of rock strengths, comparable to uniaxial compressive strength (UCS), based on rapid analysis of mineralogy and microstructure. We used rock samples from three geothermal fields in the Taupo Volcanic Zone (TVZ) to represent a range of alteration types. These are sedimentary, intrusive and extrusive rocks, typical of geothermal systems, from shallow and deep boreholes (72 measured Depth (mD) to 3280 mD). The parameters used in ASI were selected based on literature relating these aspects of mineralogy and microstructure to rock strength. The parameters in ASI define the geological characteristics of the rock, such as proportions of primary and secondary mineralogy, individual mineral hardness, porosity and fracture number. We calibrated the ASI against measured UCS for our samples from the TVZ to produce a strong correlation (R 2 of 0.86), and from this correlation we were able to derive an equation to convert ASI to UCS. Because the ASI-UCS relationship is based on an empirical fit, the UCS value that is obtained from conversion of the ASI includes an error of 7 MPa for the 50th percentile and 25 MPa for the 90th percentile with a mean error of 11 MPa. A sensitivity analysis showed that the mineralogy parameter is the dominant characteristic in this equation, and the ASI equation using only mineralogy can be used to provide an estimated UCS range, although the error (or uncertainty) becomes greater. This provides the ability to estimate strength even when either fracture or porosity information are not available, for example in the case of logging drill cuttings. This research has also allowed us to provide ranges of rock strengths based solely on the alteration zones, mineralogy, and depth of lithol-ogies found in a typical geothermal field that can be used to update conceptual models of geothermal fields.

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Prediction of engineering properties of a selected litharenite sandstone from its petrographic characteristics using correlation and multivariate statistical techniques

Cited by 200 publications

References 15 publications

Petrophysical and geomechanical properties of rocks from the oilfields of the Krishna-Godavari and Cauvery Basins, India

Petrophysical and geomechanical properties of rocks from the oilfields of the Krishna-Godavari and Cauvery Basins, India

The application of multivariate data analysis in the interpretation of engineering geological parameters

The development and application of the alteration strength index equation

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