1-20 of 185
Artificial intelligence
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

Enhanced Rate of Penetration Prediction with Rock Drillability Constraints: A Machine Learning Approach

Y. D. Fan, Y. Jin, H. W. Pang, S. G. Wang
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0375
DOI: https://doi.org/10.56952/ARMA-2022-0375
Add To Cart
PDF
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
PDF
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
PDF
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
PDF
Add to Citation Manager
Proceedings Papers

Perforation Location Optimization Considering Microscopic Structure for Multi-Cluster Fracturing Technology

Fengchao Xiao, Shicheng Zhang, Xuechen Li, Xinfang Ma
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0363
DOI: https://doi.org/10.56952/ARMA-2022-0363
Add To Cart
PDF
Add to Citation Manager
Proceedings Papers

Prediction of Shear Wave Velocity in the Williston Basin Using Big Data Analysis and Robust Machine Learning Algorithms

A. Laalam, N. Mouedden, H. Ouadi, A. Chemmakh, A. Merzoug, A. Boualam, S. Djezzar, A. Aihar, B. E. Berrehal
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0339
DOI: https://doi.org/10.56952/ARMA-2022-0339
Add To Cart
PDF
Add to Citation Manager
Proceedings Papers

Evaluation of NATM Tunnel Cutting Face in Japan Using Machine Learning

K. D. Halim, Y. Yun, H. Kusumi
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0344
DOI: https://doi.org/10.56952/ARMA-2022-0344
Add To Cart
PDF
Add to Citation Manager
Proceedings Papers

A Screening Methodology Using Fuzzy Logic to Improve the Well Stimulation Candidate Selection

N. Mouedden, A. Laalam, M. Rabiei, A. Merzoug, H. Ouadi, A. Boualam, S. Djezzar, M. Mahmoud
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0320
DOI: https://doi.org/10.56952/ARMA-2022-0320
Add To Cart
PDF
Add to Citation Manager
Proceedings Papers

Time-Series Event Prediction for the Uranium Production Wells Using Machine Learning Algorithms

Timur Merembayev, Yerlan Amanbek
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0415
DOI: https://doi.org/10.56952/ARMA-2022-0415
Add To Cart
PDF
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
PDF
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
PDF
Add to Citation Manager
Proceedings Papers

Estimation of Mechanical Properties of Mancos Shale Using Machine Learning Methods

Teeratorn Kadeethum, Hongkyu Yoon
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0487
DOI: https://doi.org/10.56952/ARMA-2022-0487
Add To Cart
PDF
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
PDF
Add to Citation Manager
Proceedings Papers

A New Rate of Penetration Prediction Model Based on the XGBoost and Explanation Method

Gang Chen, Henglin Yang, Dianru Yang, Kaijie Guo, Ming Feng, Yuan Wang, Li Fu, Hailong Jiang
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0142
DOI: https://doi.org/10.56952/ARMA-2022-0142
Add To Cart
PDF
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
PDF
Add to Citation Manager
Proceedings Papers

Prediction of Formation Properties Based on Drilling Data of Wells at Utah FORGE Site Using Machine Learning

Zachariah Phelan, Pengju Xing, Palash Panja, Joseph Moore, John McLennan
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0135
DOI: https://doi.org/10.56952/ARMA-2022-0135
Add To Cart
PDF
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
PDF
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
PDF
Add to Citation Manager
Proceedings Papers

Application of Machine Learning to the Estimation of Intact Rock Strength from Core Logging Data: A Case Study at the Newcrest Cadia East Mine

C. Thielsen, J. K. Furtney, M. E. Valencia, M. Pierce, C. Orrego, P. Stonestreet, D. Tennant
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0283
DOI: https://doi.org/10.56952/ARMA-2022-0283
Add To Cart
PDF
Add to Citation Manager
Proceedings Papers

Comparative Analysis Between Different Artificial Intelligence Based Models Optimized with Genetic Algorithms for the Prediction of Oilfield Cement Compressive Strength

H. Ouadi, A. Laalam, A. Chemmakh, A. Merzoug, N. Mouedden, V. Rasouli, S. Djezzar, A. Boualam, A. Hassan
Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0279
DOI: https://doi.org/10.56952/ARMA-2022-0279
Add To Cart
PDF
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal