The chaotic dynamics of drilling
… The behaviors of the mathematical model and actual … Power section consists of turbo
generator, which is basically … Both measures indicate the existence of low-dimensional chaos in …
generator, which is basically … Both measures indicate the existence of low-dimensional chaos in …
[HTML][HTML] Smart monitoring and decision making for regulating annulus bottom hole pressure while drilling oil wells
MP Vega, FB Vieira, LD Fernandes… - Brazilian Journal of …, 2016 - SciELO Brasil
… in the annulus pressure during oil well drilling. When the … -balanced drilling is the most used
method for drilling oil wells, … the training phase, on the resulting dynamic behaviour was also …
method for drilling oil wells, … the training phase, on the resulting dynamic behaviour was also …
Monitoring a deep hole drilling process by nonlinear time series modeling
A Messaoud, C Weihs - Journal of Sound and Vibration, 2009 - Elsevier
… behave similar to the observed data. In conclusion, the estimated ExpAr(40) model provides
a good fit to the drilling … for text and data mining, AI training, and similar technologies. For all …
a good fit to the drilling … for text and data mining, AI training, and similar technologies. For all …
[HTML][HTML] A review of data-driven intelligent monitoring for geological drilling processes
S Du, C Huang, X Ma, H Fan - Processes, 2024 - mdpi.com
… to identify behaviors deviating from normal drilling operations. As … from drilling data to identify
potential risks and fault signs. … expanding the training set, improving model generalization. …
potential risks and fault signs. … expanding the training set, improving model generalization. …
Real-time detection of drilling problems & issues during drilling by listing & using their signs both on the surface and downhole
S Hafezi - 2023 - ntnuopen.ntnu.no
… positions, training, evacuation plan, and emergency power shut … In directional-well drilling,
a stationary cuttings bed may form … This chaotic patterns emerge due to combination of various …
a stationary cuttings bed may form … This chaotic patterns emerge due to combination of various …
Development of a set of methods for preforecasting fractal time series analysis to determine the level of persistence
K Vitaliai, K Lev, S Georgiy - Восточно-Европейский журнал …, 2017 - cyberleninka.ru
… of chaotic information flows in the automated control system of the oil and gas well drilling
process. … level of time series regarding drilling with other means - rotary and turbine drills. …
process. … level of time series regarding drilling with other means - rotary and turbine drills. …
A novel DoS and DDoS attacks detection algorithm using ARIMA time series model and chaotic system in computer networks
SMT Nezhad, M Nazari… - IEEE Communications …, 2016 - ieeexplore.ieee.org
… indicator for chaotic and nonchaotic errors. Finally, a set of rules are proposed based on
repeatability of chaotic behavior … method and Chaos theory,” IEEE Commun. Lett., vol. 17, no. …
repeatability of chaotic behavior … method and Chaos theory,” IEEE Commun. Lett., vol. 17, no. …
Drilling wear detection and classification using vibration signals and artificial neural network
I Abu-Mahfouz - International Journal of Machine Tools and …, 2003 - Elsevier
… In this study, vibration based fault symptoms were used for the drill … features from incomplete
or chaotic input data. The … the training process adequately so that generalization behavior of …
or chaotic input data. The … the training process adequately so that generalization behavior of …
Non-linear analysis of EEG signals at various sleep stages
… as abrupt transitions and chaotic behavior. Sleep stages and … such as the Fourier transforms
and power spectral analysis [2]… In analysis of EEG data, different chaotic measures such as …
and power spectral analysis [2]… In analysis of EEG data, different chaotic measures such as …
Robust timing and motor patterns by taming chaos in recurrent neural networks
R Laje, DV Buonomano - Nature neuroscience, 2013 - nature.com
… , the problem of chaotic behavior in spiking neural networks … To characterize the computational
power of the innate training, … with repeated measures (factors input and training) revealed …
power of the innate training, … with repeated measures (factors input and training) revealed …