1-20 of 54
Neural networks
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Permeability and Water Saturation Characterization and Prediction in Wellington Oil Field Using Core Analysis and Seismic Inversion

S. Esmaeilpour, I. Ispas
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0776
DOI: https://doi.org/10.56952/ARMA-2022-0776
Add To Cart
View Paper titled, Permeability and Water Saturation Characterization and Prediction in Wellington Oil Field Using Core Analysis and Seismic Inversion
Click here to open pdf in another window PDF for Permeability and Water Saturation Characterization and Prediction in Wellington Oil Field Using Core Analysis and Seismic Inversion
Add to Citation Manager
Proceedings Papers

Revisiting Rockburst Predictive Models for Seismically Active Mines

A. Kulgatov, A. C. Adoko
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0827
DOI: https://doi.org/10.56952/ARMA-2022-0827
Add To Cart
View Paper titled, Revisiting Rockburst Predictive Models for Seismically Active Mines
Click here to open pdf in another window PDF for Revisiting Rockburst Predictive Models for Seismically Active Mines
Add to Citation Manager
Proceedings Papers

Exploring Advanced Neural Network Architectures for Synthetic Well Log Generation

Yian Wong, Sau-Wai Wong
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0261
DOI: https://doi.org/10.56952/ARMA-2022-0261
Add To Cart
View Paper titled, Exploring Advanced Neural Network Architectures for Synthetic Well Log Generation
Click here to open pdf in another window PDF for Exploring Advanced Neural Network Architectures for Synthetic Well Log Generation
Add to Citation Manager
Proceedings Papers

Automated Extraction of Borehole Breakout Properties from Acoustic Televiewer (ATV) Data

J. Yang, S. D. Goodfellow, J. P. Harrison
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0408
DOI: https://doi.org/10.56952/ARMA-2022-0408
Add To Cart
View Paper titled, Automated Extraction of Borehole Breakout Properties from Acoustic Televiewer (ATV) Data
Click here to open pdf in another window PDF for Automated Extraction of Borehole Breakout Properties from Acoustic Televiewer (ATV) Data
Add to Citation Manager
Proceedings Papers

Optimization Method of Hydraulic Fracturing Design for Horizontal Shale Gas Well Based on Artificial Neural Network and Genetic Algorithm

Y. Luo, J. C. Guo, F. H. Zeng, C. Lu, R. Wang, B. Guan, Y. Ren, C. M. Yuan, L. He, G. Q. Zhou, J. G. Wang, Y. H. Liu, X. S. Wang, X. Shan
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0364
DOI: https://doi.org/10.56952/ARMA-2022-0364
Add To Cart
View Paper titled, Optimization Method of Hydraulic Fracturing Design for Horizontal Shale Gas Well Based on Artificial Neural Network and Genetic Algorithm
Click here to open pdf in another window PDF for Optimization Method of Hydraulic Fracturing Design for Horizontal Shale Gas Well Based on Artificial Neural Network and Genetic Algorithm
Add to Citation Manager
Proceedings Papers

Study on Stick-Slip Early Warning Based on LSTM

B. Wang, J. Li, H. L. Huang, H. W. Yang, R. Y. Gao, G. Zhang, M. Luo, W. T. Li
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0409
DOI: https://doi.org/10.56952/ARMA-2022-0409
Add To Cart
View Paper titled, Study on Stick-Slip Early Warning Based on LSTM
Click here to open pdf in another window PDF for Study on Stick-Slip Early Warning Based on LSTM
Add to Citation Manager
Proceedings Papers

Inferring Compressional Wave (P-Wave) Travel Time from Conventional Well Logs Using Supervised Machine Learning: Case Studies from Texas Basins

S. M. Kholy, Hunjoo P. Lee
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0461
DOI: https://doi.org/10.56952/ARMA-2022-0461
Add To Cart
View Paper titled, Inferring Compressional Wave (P-Wave) Travel Time from Conventional Well Logs Using Supervised Machine Learning: Case Studies from Texas Basins
Click here to open pdf in another window PDF for Inferring Compressional Wave (P-Wave) Travel Time from Conventional Well Logs Using Supervised Machine Learning: Case Studies from Texas Basins
Add to Citation Manager
Proceedings Papers

Prediction of Mud Loss Type Based on Seismic Data Using Machine Learning

Huiwen Pang, Hanqing Wang, Yan Jin, Yunhu Lu, Yongdong Fan
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0485
DOI: https://doi.org/10.56952/ARMA-2022-0485
Add To Cart
View Paper titled, Prediction of Mud Loss Type Based on Seismic Data Using Machine Learning
Click here to open pdf in another window PDF for Prediction of Mud Loss Type Based on Seismic Data Using Machine Learning
Add to Citation Manager
Proceedings Papers

A New Perspective for the Conception of Mechanical Earth Model Using Machine Learning in the Volve Field, Norwegian North Sea

B. E. Berrehal, A. Laalam, A. Chemmakh, H. Ouadi, A. Merzoug, S. Djezzar, A. Boualam
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0441
DOI: https://doi.org/10.56952/ARMA-2022-0441
Add To Cart
View Paper titled, A New Perspective for the Conception of Mechanical Earth Model Using Machine Learning in the Volve Field, Norwegian North Sea
Click here to open pdf in another window PDF for A New Perspective for the Conception of Mechanical Earth Model Using Machine Learning in the Volve Field, Norwegian North Sea
Add to Citation Manager
Proceedings Papers

Optimization of CO 2 Injector Location and Rate in Compartmentalized Reservoirs

D. N. Espinoza, J. Xu, Z. Sun, M. T. Balhoff
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0501
DOI: https://doi.org/10.56952/ARMA-2022-0501
Add To Cart
View Paper titled, Optimization of CO 2 Injector Location and Rate in Compartmentalized Reservoirs
Click here to open pdf in another window PDF for Optimization of CO 2 Injector Location and Rate in Compartmentalized Reservoirs
Add to Citation Manager
Proceedings Papers

Estimating Rock Mass Joint Roughness Using Terrestrial Laser Scanner and Artificial Neural Network

S. Lee, S. Jeon
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0662
DOI: https://doi.org/10.56952/ARMA-2022-0662
Add To Cart
View Paper titled, Estimating Rock Mass Joint Roughness Using Terrestrial Laser Scanner and Artificial Neural Network
Click here to open pdf in another window PDF for Estimating Rock Mass Joint Roughness Using Terrestrial Laser Scanner and Artificial Neural Network
Add to Citation Manager
Proceedings Papers

S-Wave Velocity Prediction Based on Probabilistic Neural Network (PNN) and Deep Feed-Forward Neural Networks (DFNN)

S. Esmaeilpour, I. Ispas
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0775
DOI: https://doi.org/10.56952/ARMA-2022-0775
Add To Cart
View Paper titled, S-Wave Velocity Prediction Based on Probabilistic Neural Network (PNN) and Deep Feed-Forward Neural Networks (DFNN)
Click here to open pdf in another window PDF for S-Wave Velocity Prediction Based on Probabilistic Neural Network (PNN) and Deep Feed-Forward Neural Networks (DFNN)
Add to Citation Manager
Proceedings Papers

Formation Pressure Abnormality Identification Using Artificial Neural Networks: A Classification Model

Ahmed Abdelaal, Salaheldin Elkatatny, Umair bin Waheed, Sherif M. Hanafy
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0824
DOI: https://doi.org/10.56952/ARMA-2022-0824
Add To Cart
View Paper titled, Formation Pressure Abnormality Identification Using Artificial Neural Networks: A Classification Model
Click here to open pdf in another window PDF for Formation Pressure Abnormality Identification Using Artificial Neural Networks: A Classification Model
Add to Citation Manager
Proceedings Papers

Early Prediction and Prevention of Tip Screen-Out Using Deep Learning

H. Soroush, H. Belyadi, H. Kang, M. P. Murugesu
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0052
DOI: https://doi.org/10.56952/ARMA-2022-0052
Add To Cart
View Paper titled, Early Prediction and Prevention of Tip Screen-Out Using Deep Learning
Click here to open pdf in another window PDF for Early Prediction and Prevention of Tip Screen-Out Using Deep Learning
Add to Citation Manager
Proceedings Papers

A Conventional Neural Network Lithology Classification Method Based on Vibration Data

Gang Chen, Peng Tan, Jiran Li, Hailong Jiang, Li Fu, Henglin Yang
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0143
DOI: https://doi.org/10.56952/ARMA-2022-0143
Add To Cart
View Paper titled, A Conventional Neural Network Lithology Classification Method Based on Vibration Data
Click here to open pdf in another window PDF for A Conventional Neural Network Lithology Classification Method Based on Vibration Data
Add to Citation Manager
Proceedings Papers

Prediction of Discrete and Continuous Wellbore Logs Values Using Artificial Neural Network, Decision Trees and Support Vectors Machine Algorithms

Abdelmalek Bellal, Youcef Khetib
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0031
DOI: https://doi.org/10.56952/ARMA-2022-0031
Add To Cart
View Paper titled, Prediction of Discrete and Continuous Wellbore Logs Values Using Artificial Neural Network, Decision Trees and Support Vectors Machine Algorithms
Click here to open pdf in another window PDF for Prediction of Discrete and Continuous Wellbore Logs Values Using Artificial Neural Network, Decision Trees and Support Vectors Machine Algorithms
Add to Citation Manager
Proceedings Papers

Prediction of POR Based on Artificial Neural Network With Long and Short Memory (LSTM)

Lanbin Ao, Yan jin, Huiwen Pang
Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1454
Add To Cart
View Paper titled, Prediction of POR Based on Artificial Neural Network With Long and Short Memory (LSTM)
Click here to open pdf in another window PDF for Prediction of POR Based on Artificial Neural Network With Long and Short Memory (LSTM)
Add to Citation Manager
Proceedings Papers

Predicting Mineralogy of the Salt-Gypsum Layer by Drilling Cuttings and Conventional Well Logging Data Using a Multilayer Perceptron Neural Network (MLPNN): A Case Study in Kuqa Depression, Tarim Basin

Bo Zhou, Renkun Luo, Ning Li, Long Chen, Xiaojun Zhou, Yutian Han, Yan Jin, Yunhu Lu
Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1418
Add To Cart
View Paper titled, Predicting Mineralogy of the Salt-Gypsum Layer by Drilling Cuttings and Conventional Well Logging Data Using a Multilayer Perceptron Neural Network (MLPNN): A Case Study in Kuqa Depression, Tarim Basin
Click here to open pdf in another window PDF for Predicting Mineralogy of the Salt-Gypsum Layer by Drilling Cuttings and Conventional Well Logging Data Using a Multilayer Perceptron Neural Network (MLPNN): A Case Study in Kuqa Depression, Tarim Basin
Add to Citation Manager
Proceedings Papers

Prediction of Rock Constitutive Relation Under High Temperature and High Stress by Recurrent Neural Network

H. Lin, F. J. Zhou, Y. K. Tian, X. T. Yang, L. Q. Hu, Y. X. Liu, Z. K. Pan
Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1915
Add To Cart
View Paper titled, Prediction of Rock Constitutive Relation Under High Temperature and High Stress by Recurrent Neural Network
Click here to open pdf in another window PDF for Prediction of Rock Constitutive Relation Under High Temperature and High Stress by Recurrent Neural Network
Add to Citation Manager
Proceedings Papers

Artificial Neural Networks-Based Equation for Real-Time Estimation of the Dynamic Young's Modulus

Ahmed Abdulhamid Mahmoud, Hany Gamal, Osama Mutrif, Salaheldin Elkatatny
Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1907
Add To Cart
View Paper titled, Artificial Neural Networks-Based Equation for Real-Time Estimation of the Dynamic Young's Modulus
Click here to open pdf in another window PDF for Artificial Neural Networks-Based Equation for Real-Time Estimation of the Dynamic Young's Modulus
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal