... prediction models of cutting performance have been proposed. Especially, empirical models using index properties and observed field performance data have been widely used. Lately, big data collected from TBM tunnel sites have been used with the techniques of machine learning and artificial intelligence...

...12th Asian Rock Mechanics Symposium, Hanoi, Vietnam - The 2022 ISRM Sponsored Regional Symposium ©2022 ISRM, VSRM. ISBN: 978-604-357-103-5 Do Nhu Trang, Pham Quoc Tuan et al. (Eds.) Using Different Artificial Neural Network Models to Predict Rate of Penetration for Oil and Gas Wells Do Quang Khanha...

... symposium 29 Upstream Oil & Gas cutter experiment disc cutting actuated disc cutting structural geology disc cutter prediction cartridge metals & mining Savonniere isrm international symposium actuated disc actuation Actuated Disc Cutting: An Enabler for Mechanized Hard Rock Mining...

... solution. Furthermore, coupled THMC numerical models are shown to predict the long-term change in rock permeability. 1. Introduction Understanding the fluid flow behavior in the deep subsurface is essential for evaluating the performance of many rock engineering projects, such as the geological...

... Artificial Intelligence november 2018 metals & mining Singapore prediction statistical model compressive strength Upstream Oil & Gas isrm international symposium application membership function unconfined compressive strength rock mass fuzzy logic input parameter specimen...

... experience. In deep tunnelling around the world, a similarly blind approach (tunnelling into previously unexcavated ground) to hazard prediction and risk management must be taken. Blind development for large infrastructure and mine access tunnelling is being carried out around the world at depths in excess...

... Abstract The authors developed a system for predicting geological conditions not just of excavated areas but also ahead of the tunnel face by processing drilling data using Ordinary kriging, a geostatistical approach, and by visualizing conditions in real time. Using auto-controlled face...

...-borne sound) caused by blasting vibration during tunnel construction. We compared the measured values with the values predicted by equations of vibration and noise inside and outside of the houses to be preserved. As a result of our study, we found that the noise level inside the house was often larger...

... and statistical analysis with dominant factors of density, which allows constructing the correlative relationship between thermal conductivity and stiffness. Artificial Neural Network (ANN) which learns relationships between data predicts thermal conductivity of rock based on collected physical properties using...

..., i.e. characteristics of rock and discontinuities, and operational conditions, i.e. selection of cutter, cutting forces, cutter spacing, etc. For performance estimation, prediction models can be used in which index properties of rock and rock cutting database are correlated. Establishing the database...

... rock tunnel by heavy weight (200–300kW class), axial cutter head type roadheaders. Reservoir Characterization performance prediction model field data database structural geology type roadheader axial october 2014 cutter head pick consumption prediction Rock Quality Designation...

... was estimated in advance. To improve the accuracy of numerical analysis of the impact prediction, a test excavation section was set up prior to excavation of the crossing section. The results of numerical analysis were verified based on the measured ground displacement during the test excavation to improve...

... Abstract Water and mud inrush will cause severe security risk and great economic loss to tunnel construction, it will also cause unrecoverable damage to relevant environment. However, the prediction and prevention still remain as a very difficult problem. In contrast, mud inrush is more...

...8th Asian Rock Mechanics Symposium ARMS8 14-16 October 2014, Sapporo, Japan Prediction of Parameters' Controlling the Rock Slope Stability: ANOVA Approach. R. A. Abdullah*, M. F. M. Amin, N. Z. M. Yunus, S. N. Jusoh, N. Ali and A. E. Otaghsaraei Department of Goetechnics and Transportation, Faculty...

... of a multi-hammer tunnelling machine for three rock classes was obtained from the test results. Based on the penetration rate data measured from a field test, a prediction chart of the penetration rate was proposed for various rock classes. machine learning Upstream Oil & Gas air compressor...

... Fuenkajorn Reservoir Characterization asian rock mechanics symposium arms8 prediction october 2014 Upstream Oil & Gas surface subsidence settlement trough thongprapha trough Trap Door Apparatus Fluid Dynamics physical model subsidence subsidence trough gravel Maximum Subsidence tunnel...

... mechanics symposium arms8 prediction structural geology Vaskou rock cavern Reservoir Characterization Upstream Oil & Gas geological structure discontinuity Design Methodology reservoir geomechanics cavern assessment excavation stabilization storage cavern mega wedge october 2014...

... examined the applicability of a neural network model for settlement prediction using measurements in the early stage after construction. Simulations using a basic network model showed that when the measurement data used for teaching the neural network accumulated, the prediction was in good agreement...

... SYNOPSIS Spalling is the common mode of failure in deep tunnels excavated in strong rocks which results in notches around the tunnel boundary. Recent developments in the analysis of spalling failure have resulted in the empirical Hoek-Brown spalling criterion which is used for prediction...

... ABSTRACT Under the observational design and construction method, original tunnel design is immediately verified or modified based on the prediction results of geological conditions from in-situ data sequentially obtained during construction, such as seismic profiling, probe hole drilling...