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Keywords: prediction
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Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-158-C
... percussive drilling, a method that does not recover cores, the best way to obtain geotechnical information will be from geophysical profiles. geology machine learning inductive learning algorithm upstream oil & gas information geologist artificial intelligence drilling prediction...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-187
... ABSTRACT: Geomechanical hazard can be defined as a combination of the probability occurrence of an event and its intensity. Therefore, predicting a hazard level should give information about how (phenomenology of the failure), when (exact time of failure), and how much (with which intensity...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-156
... meters. Furthermore, the disturbance-free seismic data acquisition could be tested using an innovative next-generation hardware. SEISMIC INVESTIGATIONS IN MECHANISED TUNNELING Non-destructive geophysical site investigation while tunnelling is a reliable tool for long range predictions. The Tunnel...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-001
... prediction doi empowering boltzmann creep viscoelasticity new austrian tunneling method scheiner contribution 15th ISRM Congress 2023 & 72nd Geomechanics Colloquium. Schubert & Kluckner (eds.) © ÖGG The Mechanics of Pandemics: Empowering Boltzmann creep for the prediction of COVID-19 fatality trends...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-047
... the proposed ANN models. Several scenarios were considered. The performance of the models was evaluated and the results indicated that the brittleness index has a great influence on the predictive performance of the models, especially for severe rockburst cases. The classification rates vary between 60-88...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-485
... ABSTRACT: Currently, the development of accurate and reliable models for predicting the behavior of rock mass joints is one of the most common interests among researchers, engineers and geologists. An alternative to address this type of problem more efficiently can be neuro-fuzzy systems...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-466
... ranging from 10 −14 to 10 −19 m 2 . The simulations predict peak slip to within a few centimeters of that of the numerical comparison study. INTRODUCTION The storage of gaseous fluids in porous subsurface systems such as depleted oil and gas reservoirs and aquifers is a promising method of storing...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-081
... which can be used to assess rockburst potential based on fracture frequency measurement. geologist europe government destress estimation upstream oil & gas fracture frequency sweden government semi-variogram model semi-variogram prediction mining personnel deviation metals...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-051
... to overloading of the supporting inner lining rather than the rock itself). geology lining excavation relaxation deformation europe government overburden compressive strength invert degradation shotcrete ground transportation tunnel prediction figure 5 convergence geologist gsi figure 4...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-097
... ABSTRACT: A robust estimation of peak shear strength of rock fractures in engineering practice is significant, but the three-dimensional (3D) surface characteristics of fractures have not been comprehensively quantified in the existing models. In this study, a deep learning-aided prediction...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-065
... of deformations (G. Vavrovsky 2013). It is important to allow deformations via stress reduction thereby respecting the compatibility of deformations between support and rock mass. This process makes it difficult to predict radial deformations. Longitudinal deformations are seldom included in predictions...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-089
... calculation genetic algorithm application prediction machine learning optimization algorithm numerical simulation engineering 15th ISRM Congress 2023 & 72nd Geomechanics Colloquium. Schubert & Kluckner (eds.) © ÖGG An example of calibrating physical parameters in a constitutive model based...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-083
... learning (ML) models were employed. Specifically, k-nearest neighbors (KNN) and multi-layer perceptron (MLP) were used for both models. The aim of the regression ML models was to predict the depth of damage based on the maximum tangential stress around the opening and the crack initiation (CI) threshold...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-105
... is time-consuming and has the potential to cause computational and human subjectivity errors in open stope stability prediction. The Stability Graph is developed empirically, and its reliability increases with increased data size and quality. However, its current application does not allow data sharing...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-108
... logs) and rock density as inputs. A dataset of 274 samples from two mine sites in Australia is applied for the training, testing and validation of the model. Compared with the conventional sonic velocity model, the mean absolute percentage error of the predictions improves from 34.3% to 19.8...
Proceedings Papers

Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-114
... numerical modelling to better visualize and quantify the ground-structure interaction based on a metro station featuring a trinocular cavern platform. Knowledge-based prediction is important for critical areas of underground construction. By engaging numerical modelling and using appropriate constitutive...

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