... characterization disposal repository displacement evaluation reservoir geomechanics convergent deformation bedrock prediction numerical simulation resaturation Rock Mechanics for Natural Resources and Infrastructure Development Fontoura, Rocca & Pavón Mendoza (Eds) © 2020 ISRM, ISBN 978-0-367-42284...

... of discontinuities have been used to develop these models based on the concepts of intelligent systems to predict the shear strength and the dilation in unfilled rock joints. The models were developed using Multilayer Perceptron ANN Technique and Takagi-Sugeno Fuzzy Controllers. A practical application in slope...

... and the discontinuity orientations. However, it suffers from the common drawbacks of classification systems. In addition, it is required to be tuned for weak rock mass. This study modifies the classical SMR system by Fuzzy Logic to predict the slope failure mode. Enhancements on the prediction mechanism depend...

... Abstract The first Underground Research Laboratory (URL) of geological disposal of highlevel radioactive waste (HLW) in China will be constructed in coming years and the TBM method is proposed for URL excavation. This paper aims to perform TBM performance prediction for URL project by using...

.... The present simulations also show that the predictions from the model are in good agreement with the experimental results of permeability change of coal induced by gas adsorption in the literature. 1 Instruction Swelling-induced by gas (CH4 and CO2) adsorption is an important phenomenon in coal bed...

...). It is an essential step for cost estimation and risk management if grout take can be predicted before the commencement of tunnel excavation (Nia et al. 2017, Yang 2004). Prediction of grout take consumed during tunnel construction remains a challenge, since the grout take is directly related to the complex...

... an artificial neural network (ANN) model to predict the shear behaviour of rock joints. The input parameters of the neural model are the external/boundary normal stiffness (k n ), the thickness of infill, the initial normal stress (σ n0 ), the joint roughness coefficient (JRC), the intact rock uniaxial...

... Abstract The application of grain-based distinct element modelling technique is investigated, with the aim of improving prediction of the extent and nature of the excavation induced damage zone (EDZ), a critical part of the design process and safety assessment for deep geological repositories...

..., the study of rock deformation and destructive process through AE technology is of great theoretical and practical significance to the monitoring and prediction of rock and mineral stability in metal mines, as well as to the study of earthquake mechanism and earthquake prediction (Li et al. 2010). Since...

... Abstract Authors have practiced inclination monitoring at the tunnel crown during face advance as one of the methodologies to predict qualitatively ground deformability ahead of the face. This paper describes the improved methodology to realize the quantitative estimation of tunnel crown...

... Abstract We present a constitutive model for the cement paste, spanning from its earliest age to the hardened state, developed with the purpose of modelling the behavior of the cement sheath in oil wells. The model predictions are evaluated by simulating the results of mechanical loading...

... geomechanics envelope upstream oil & gas shear strength shear strength envelope compressive strength rock mechanic reservoir characterization strength envelope curvature prediction engineering criterion mpa compression strength barton Rock Mechanics for Natural Resources...

...-making frameworks. Probabilistic and supervised machine learning are two examples of methods that may be used to streamline data review for an expert user. This paper uses the backdrop of a tunnel case study to compare a Bayesian Belief Network (BBN) to predict the ground class as a function of tunnel...

... for monitoring precursory microseismicity for coal burst prediction. The sensitivity and detectability of both military-grade and ordinary fiber cables were compared with a number of geophones that were installed at different locations next to the fibers. Both active and passive sources were tested...

... halite 2 histogram accuracy prediction saline lithotype structural geology reservoir characterization correlation carnallite 2 predominance brazilian basin correlation coefficient estimation selection Rock Mechanics for Natural Resources and Infrastructure Development Fontoura, Rocca...

.... The experimental results have been compared with analytical models for sand onset and sand rate predictions. Also, a new model that includes the effect of axial and lateral stress anisotropy has been developed and calibrated on the test results. 1 Introduction Increasing the profitability of sand producing...

... to develop ideas about geodynamic risk not only from the technical side, but also from the economic side, as well as revealing its impact on the financial and economic activities of the mining enterprise. upstream oil & gas reservoir characterization matrix investigation prediction category...

..., the excavation layout, and the determination of its load-carrying capacity. In this paper, we present a method to predict quickly the tunnel closure in time-dependent rock mass using Grey Verhulst Model (GVM). The method is validated fairly via a test for a new excavated drift of -600m level in a coal mine...

... Abstract secure construction of tunnel requires accurate prediction of rock fall from the tunnel face. As the prediction is commonly based on subjective visual inspections, the result is likely to vary from person to person. Therefore, the authors developed a new method for quantitative...

... Abstract In mechanized tunneling, performance prediction is a crucial issue for estimating excavation costs and construction time of a tunnel project. The aim of this work is to compare the calculated parameters by penetration prediction models with the results of penetration tests during...