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Keywords: prediction
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Proceedings Papers
Paper presented at the ISRM Regional Symposium - 12th Asian Rock Mechanics Symposium, November 22–26, 2022
Paper Number: ISRM-ARMS12-2022-001
... 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...
Proceedings Papers
Do Quang Khanh, Bui Tu An, Nguyen Viet Khoi Nguyen, Hoang Trong Quang, Tran Nguyen Thien Tam, Ong Vu Khanh Phat, Vo Van Long, Tran Van Tien
Paper presented at the ISRM Regional Symposium - 12th Asian Rock Mechanics Symposium, November 22–26, 2022
Paper Number: ISRM-ARMS12-2022-024
... Abstract Rate of penetration (ROP) is an important parameter that determines the success and cost of a drilling operation. In this paper, the research approach is based on different artificial neural network (ANN) models to predict ROP for oil and gas wells in Nam Con Son basin. First...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-299
... and unpredictable. This study utilizes a support vector machine (SVM) to classify the fracture slip behaviors and to predict new, unseen slip events. The results exhibit that the SVM trained by the acoustic emission amplitude well predicts the variation of shear stress near the stability transition...
Proceedings Papers
Uncertainty Elevation of Landslide Displacement Prediction Based on LSTM and Mixture Density Network
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-319
... Abstract Considering monitoring noise and complexity of landslide movement, quantify the uncertainty of landslide displacement prediction is crucial and challenging. Traditional data-driven models such as long short-term memory networks (LSTM), support vector regression, and extrema learning...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-439
... delays even the accidents take place due to the mis-operation of inexperienced drivers. To improve the adaptability of a TBM in complex geological conditions, this study proposes an integrated data mining framework to perform near real-time prediction of two operational parameters including thrust...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-656
... Abstract In this paper, an artificial neural network-based dynamic prediction model of penetration rate (PR) is proposed. Four tunnel boring machine (TBM) operational parameters, including cutterhead rotational speed (RPM), cutterhead torque (T), total thrust (F), and advance rate (AR...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-088
... warning system is purely based on monitoring data nowadays, so it is difficult to integrate interdisciplinary techniques. A trigger condition based prediction theory and disaster stage judgment approach are introduced, with which the landslide time prediction is converted to the disaster stage judgment...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-077
... landslide reservoir characterization geology artificial intelligence knowledge management equation prediction geologist risk management geological subdiscipline conference criteria sedimentary rock rock type machine learning environmental science 861 displacement china society...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-258
... Abstract Accurate and quick prediction of UCS values of rocks ahead of one tunnel provides a reliable guarantee for the safety and economy of tunnel construction. The objective of this paper is to investigate the effect of different rock geological conditions on the prediction performance...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-295
... Abstract Time series prediction of parameters is a method of learning existing observational data and predicting its future evolution, which has been applied in many fields. In this paper, the key microseismic indexes are mined to describe the rockburst development, and a hybrid prediction...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-454
... stratum between the existing boreholes is often not investigated, which brings the possibility of vital errors in underground design due to inaccurate interpretation of the ground conditions. It is desirable to utilize advanced machine learning methods to predict and update the 3D geo-models. Machine...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-493
... Abstract In order to effectively prevent the occurrence of sand production during the gas well production, rock mechanics tests were carried out for a deep tight sandstone gas reservoir in Bashijiqike Formation of the Keshen blockk, and the logging prediction models of mechanics parameters...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-488
... inductive learning geological subdiscipline shield environmental science 861 geology stratigraphy identification accuracy conference mergeformat algorithm prediction geologist artificial intelligence borehole information construction stratigraphic heterogeneity inference 11th Conference...
Proceedings Papers
Yongzhen Xu, Fujun Zhang, Pei Xie, Shangkun Zhang, Xiaoming Sun, Chao Ren, Dongqiao Liu, Xiaodong Liu
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-503
... Abstract In view of the complex geological environment of deep buried tunnel, the great harm of rock burst, and the serious hidden danger to the underground engineering construction and the safety of the workers, it is necessary to adopt an effective method to reasonably predict the rock burst...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-463
... Abstract The studies of mechanism and calculated model of the earth-fill dam and landslide dam have a significant impact on the prediction and risk assessment for dam failure. The present study selected the event of a multi-stage landslide dam failure in southwestern China as a case study...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-521
... the experimental measurement of the SWCC is time-consuming, many empirical methods have been suggested to estimate the SWCC. This paper proposed a machine learning algorithm to predict SWCC from limited sets of soil properties. By predicting the parameters of the Fredlund and Xing model (which is called FX model...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-569
... and Xing model (FX model) [3], etc. Compared to the BC model and FX model, the VG model is more accessible due to its simpler form and less required input. artificial intelligence environmental science 861 probabilistic estimation prediction machine learning conference geotechnical engineering...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-579
... Abstract Rapid prediction of seismic ground motion can help with the assessment of seismic damage during earthquake emergencies. A numerical simulation is a powerful tool for achieving this end. However, existing methods for such simulations need a large number of seismic ground motion records...
Proceedings Papers
Paper presented at the ISRM International Symposium - 10th Asian Rock Mechanics Symposium, October 29–November 3, 2018
Paper Number: ISRM-ARMS10-2018-188
..., 2017). Introducing a unique laboratory test unit for actuated disc cutting (dubbed as Wobble), this paper summarizes an experimental study to extend the understanding of the cutting process and the associated cutting forces. The accuracy of the predictive force models (Dehkhoda and Detournay, 2017...
Proceedings Papers
Paper presented at the ISRM International Symposium - 10th Asian Rock Mechanics Symposium, October 29–November 3, 2018
Paper Number: ISRM-ARMS10-2018-262
... of the fracture permeability mediated by the coupled processes. Conceptual models are also presented to replicate the experimental measurements by accounting for the chemo-mechanical processes such as the pressure solution. Furthermore, coupled THMC numerical models are shown to predict the long-term change...
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