... properties of chips. With this respect, one hundred individual edge chipping tests were carried out on a homogenous tuff sample for the selected testing condition. Accordingly, basic statistical properties (mean, standard deviation, coefficient of variation) of test results have been investigated. Besides...

... conditions, and thus the potential for dynamic loads. Reservoir Characterization Upstream Oil & Gas metals & mining strength standardized regression coefficient coefficient machine learning structural geology correlation pillar factor safety Maleki mechanics Artificial...

... signals. Each signal is associated with an event of destruction (initiation of a new microcrack or growth of an existing one); for this reason, interpretation of such stochastic information uses: metals & mining wave velocity coefficient Nazarova Upstream Oil & Gas inverse problem...

... ultrasonic waves velocity, thermal conductivity and volumetric heat capacity. well logging silesian granite coefficient kožušníková Reservoir Characterization granite sample porosity granite Upstream Oil & Gas ultrasonic wave velocity procedia engineering 191 log analysis physical...

... of LSD remains unproven (Christian, 2004). At present EC7 does not present any factors for rock mechanics parameters (Bedi & Orr 2014, Harrison 2014). Engineering ferrero flexible barrier segalini resistance coefficient Upstream Oil & Gas Thickness flow thickness debris flow...

... Brazilian disc test strain value in the diametrical line of the specimen has been found higher than nominal strain value according to FEM, tensile strength value which should be re-calculated by using proposed the coefficient. 1 INTRODUCTION Characterizing the tensile strength of rocks thus is of great...

... & Dewitt 1990, Hasan 1999, Canakci et al. 2007). unfilled travertine sample specimen travertine sample Upstream Oil & Gas thermal parameter change coefficient specific heat capacity travertine Reservoir Characterization ts cycle thermal property investigation thermal conductivity...

... the coefficients of these empirical relationships. The methodology was applied to case studies (France). The application of these relationships can help to explain the collapse of Clamart mine (Paris). Generally, and in the absence of data, it will certainly be more prudent to use the relationships available...

... Wellbore Design Rock mechanics metals & mining Upstream Oil & Gas strength international journal correlation Significance reservoir geomechanics Engineering Mining Science rock property IBR Bilgin coefficient hammer tunnel underground space technology hardness correlation...

.... The geomechanical properties of the rock materials are determined from laboratory tests. A LIDAR measurements as well as aerial photos are used to prepare slope profiles. According to previous rockfall evidences, back analyses are performed to identify the slope surface characteristics like restitution coefficients...

... of water for carbon capture and storage (CCS) study. The effective pressure law for permeability is associated with curved iso-permeability lines. We can express the effective pressure as P eff = P c — χ(P c ,P p )P p , where the coefficient χ corresponds to the slope of iso-permeability line according...

... uniaxial compressive strength vesicular basalt Turkey rock material vesicle uniaxial compression strength test void ratio porosity coefficient core sample Rock Mechanics and Rock Engineering: From the Past to the Future Ulusay et al. (Eds) © 2016 Taylor & Francis Group, London, ISBN 978-1-138...

... jack coefficients manufactured by INTERFELS Corporation. In typical practice the large flat jack (LFJ) coefficients proposed by LNEC is used to calculate the final modulus data. These coefficients are also used to calculate the modulus data from ELFJ, which leads to significant errors. In this study...

... stress coefficient machine learning Upstream Oil & Gas back analysis Narmab Water Conveyance Tunnel Artificial Intelligence average horizontal intelligent back analysis rock mass elasticity module artificial neural network tunnel ABSTRACT: As substitution method, artificial neural...

... coefficient harmonic component Fourier analysis RocFold case study ABSTRACT: The first step to determine mechanical and hydraulic properties of rock masses is the evaluation of geometrical characterizations of discontinuities. Discrete Fracture Network models have been developed to model...

... than field tests. machine learning schmidt hammer rebound number data laboratory neural network correlation coefficient application Artificial Intelligence roof rock artificial neural network estimation neuron compressive strength Upstream Oil & Gas specific geological...

... coefficient Reservoir Characterization Upstream Oil & Gas CNL condition dilation Wellbore Design normal stress boundary condition dilatation capacity test procedure shear test stiffness shear strength initial stress wellbore integrity resistance direct shear test procedure normal...

.... This paper aims to assess and analyse rockfall susceptibility along the main road leading to the Giants Castle Nature Reserve, in the northern Drakensberg, South Africa. runout zone Rockfall Hazard rockfall susceptibility analysis structural geology Simulation coefficient road alignment ground...

... sparse and limited to 2D profiles measurements. Therefore, many existing roughness parameters are based on 2D profiles including the Joint Roughness Coefficient (JRC), maximum asperity angle (Patton 1966) and different statistical parameters, e.g. roughness profile index or average angle (Papaliangas...

... Abstract In this study, the effects of textural properties of grains such as aspect ratio, roundness, and diameter on the LCPC abrasivity coefficient (LAC) were investigated for six different coarse-grained igneous rocks. The LAC was correlated to the abrasive mineral contents (AMC) and a good...