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Keywords: knowledge
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Proceedings Papers

Paper presented at the 58th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2024
Paper Number: ARMA-2024-0096
... transfer learning limitations through progressive learning, enhancing the capability of transferring knowledge from many sources. Through numerical experiments, the performance of p-INO is benchmarked against standard Improved Neural Operators (INO) in scenarios varying by data availability (different...
Proceedings Papers

Paper presented at the 58th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2024
Paper Number: ARMA-2024-0932
... energy, alter the in-situ stress state by fluid injection or extraction. While the vertical stress is mostly affected by the overburden and can be calculated from depth and mass density, predicting horizontal stress requires an accurate constitutive model and knowledge of the loading history. In the case...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0400
... must be ensured. Knowledge on the complete stress-strain behavior of massive hard-rock pillars is paramount for the design of these pillars. However, a review shows that there is insufficient knowledge available. An in-situ pillar test is found to be best suited to improve the knowledge. The need...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0094
... sequential-data based regression problems, this paper considers the specific domain knowledge of logging and develops a self-interpretable LSTM (SI-LSTM) to calculate the formation pressure. It can dynamically capture the potential correlation between the formation pressure and input variables...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2031
... that ML methods can locate the source of an AE event using the waveform detected by a single station without any prior knowledge about the source, the medium that the signal passes, and the velocity model. 1. Introduction Machine learning (ML) and deep learning (DL) have provided insight and solutions...
Proceedings Papers

Paper presented at the 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-0431
... ABSTRACT: To obtain a full characterization of subsurface stress, both principal stress magnitudes and orientations are necessary. Knowledge of principal stress orientations is particularly important to wellbore stability analysis during drilling of inclined wellbores, hydraulic fracturing...
Proceedings Papers

Paper presented at the 47th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2013
Paper Number: ARMA-2013-536
... were dependent on the mineralogical and textural compositions of rocks. These data are valuable input for parametric studies and uncertainty analysis of shallow reservoirs in general and especially when there is lack of site specific data. For areas with more detailed knowledge of mineralogical...
Proceedings Papers

Paper presented at the 47th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2013
Paper Number: ARMA-2013-550
... calculations using non-probabilistic models and Bayesian techniques, and draw conclusions regarding the appropriate calculation model for particular degrees of uncertainty. machine learning Upstream Oil & Gas Bayesian Inference Artificial Intelligence imprecision variability knowledge...
Proceedings Papers

Paper presented at the 47th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2013
Paper Number: ARMA-2013-590
... Characterization gmpe slip distribution knowledge hypothesis ground-motion prediction equation hypocenter seismol SOC ARMA 13-590 Bayesian Analysis of Earthquake Seismology Models Under Uncertainty Cruz-Jimenez, H. and Mai, P. M. King Abdullah University of Science and Technology (KAUST), Thuwal 23955...
Proceedings Papers

Paper presented at the 46th U.S. Rock Mechanics/Geomechanics Symposium, June 24–27, 2012
Paper Number: ARMA-2012-108
... knowledge. Techniques for the evaluation of the reliability of calculated results will also be explained. Synthetic examples will be used in order to exemplify the calculations. Preliminary methods for calculating the in situ stress tensor as the initial data, if no previous tests are available, will also...
Proceedings Papers

Paper presented at the 46th U.S. Rock Mechanics/Geomechanics Symposium, June 24–27, 2012
Paper Number: ARMA-2012-120
... Bayesian Inference strength data mining laboratory application mechanics node neural network input parameter RMR Bayesian network Support Vector Machine evaluation knowledge characterization algorithm ARMA 12-120 Models for Geomechanical Characterization of the Rock Mass Formations...
Proceedings Papers

Paper presented at the 45th U.S. Rock Mechanics / Geomechanics Symposium, June 26–29, 2011
Paper Number: ARMA-11-548
... and these innovative tools were used to analyze it and induce new and useful knowledge. The main goal was to develop new and reliable models to predict geomechanical parameters for rock masses, namely friction angle, cohesion and deformability modulus, when only limited data is available. 1. INTRODUCTION...
Proceedings Papers

Paper presented at the 45th U.S. Rock Mechanics / Geomechanics Symposium, June 26–29, 2011
Paper Number: ARMA-11-296
... neural network nonzero cell Artificial Intelligence equivalent adjacency matrix machine learning neural network model modular neural network Tunnel Project project management knowledge neuron adjacency matrix project WB matrix mellat tunnel project work breakdown structure excavation...
Proceedings Papers

Paper presented at the The 42nd U.S. Rock Mechanics Symposium (USRMS), June 29–July 2, 2008
Paper Number: ARMA-08-357
... knowledge continues to progress, but researchers have virtually no understanding of the engineering significance of these rocks, while the engineering community remains largely unaware of the current research knowledge. There is substantial potential benefit from better communication between the engineering...
Proceedings Papers

Paper presented at the Golden Rocks 2006, The 41st U.S. Symposium on Rock Mechanics (USRMS), June 17–21, 2006
Paper Number: ARMA-06-1012
...1. INTRODUCTION One of the meanings of the word lesson is an experience, example, or observation that imparts beneficial new knowledge or wisdom. The knowledge or wisdom so acquired. [1]. Our involvement in academic research and the development of software for geomechanics purposes has offered...
Proceedings Papers

Paper presented at the Golden Rocks 2006, The 41st U.S. Symposium on Rock Mechanics (USRMS), June 17–21, 2006
Paper Number: ARMA-06-1147
...1. INTRODUCTION The knowledge of geological structures at different scales is necessary for engineering design and applications, in the framework of rock engineering. It is known that the characterization of fracture systems in complex rock masses can be time- consuming or even unsuitable for use...
Proceedings Papers

Paper presented at the The 35th U.S. Symposium on Rock Mechanics (USRMS), June 5–7, 1995
Paper Number: ARMA-95-0593
... the advantages of analytical and empirical methods and can be utilized as an optimization tool. metals & mining strength Ground Control fuzzy logic formula fuzzy rule machine learning neural network longwall coal mining knowledge stability true value processing unit New York Artificial...
Proceedings Papers

Paper presented at the The 34th U.S. Symposium on Rock Mechanics (USRMS), June 28–30, 1993
Paper Number: ARMA-93-0741
... rock from being fractured (rein- forcing and stabilizing surrounding rock). Insufficient knowledge of classifi- cation and lack of characterizing information often restrict the existing clas- sification methods from getting optimal results. Input of noisy and incom- plete data may lead to a wrong...
Proceedings Papers

Paper presented at the The 32nd U.S. Symposium on Rock Mechanics (USRMS), July 10–12, 1991
Paper Number: ARMA-91-1185
... expert system Artificial Intelligence Knowledge Representation Upstream Oil & Gas knowledge information conclusion inference engine knowledge base expertise discontinuity knowledge unit Rock mechanics evaluation discontinuity property evaluation inference panda system factor...
Proceedings Papers

Paper presented at the The 29th U.S. Symposium on Rock Mechanics (USRMS), June 13–15, 1988
Paper Number: ARMA-88-0283
... Upstream Oil & Gas Rock mechanics main paraneter rock engineering expert system structural plane initial paraneter experty classification category inference procedure paraneter Artificial Intelligence Engineering knowledge rock mass parmneter reasoning knowledge base...

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