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Proceedings Papers

Log CCS vs App CCS

D. C. Etaje, R. Hulog, A. Trivadi, A. Le, R. Shor
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-191
https://doi.org/10.56952/IGS-2022-191
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Proceedings Papers

Well Log Prediction Using Deep Sequence Learning

Weichang Li, Lei Fu, Murtadha J. AlTammar
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-184
https://doi.org/10.56952/IGS-2022-184
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View Paper titled, Well Log Prediction Using Deep Sequence Learning
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Proceedings Papers

Discrete Element Study on Rock Failure Mechanism by Shaped PDC Cutter Under Formation Conditions with In-Situ Stress and Temperature

Jianlin Yao, Bin Liu, Haiyan Zhu
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-107
https://doi.org/10.56952/IGS-2022-107
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View Paper titled, Discrete Element Study on Rock Failure Mechanism by Shaped PDC Cutter Under Formation Conditions with In-Situ Stress and Temperature
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Proceedings Papers

Numerical Modeling of the Complex Behavior of Salt Caverns

B. Brouard, V. Zakharov, A. Frangi
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-028
https://doi.org/10.56952/IGS-2022-028
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View Paper titled, Numerical Modeling of the Complex Behavior of Salt Caverns
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Proceedings Papers

Drilling Data-Based Approach for Pressure Gradient Estimation Using Random Forest

Ahmed Abdelaal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-164
https://doi.org/10.56952/IGS-2022-164
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View Paper titled, Drilling Data-Based Approach for Pressure Gradient Estimation Using Random Forest
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Proceedings Papers

Application of Machine Learning for Real-Time Prediction of Sonic Well Logs Using Surface Drilling Parameters and Gamma Ray

Rima T. Alfaraj, Murtadha J. AlTammar, Osman Hamid
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-101
https://doi.org/10.56952/IGS-2022-101
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View Paper titled, Application of Machine Learning for Real-Time Prediction of Sonic Well Logs Using Surface Drilling Parameters and Gamma Ray
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Proceedings Papers

Geological Modeling Along Tunnel Projects Using Machine Learning Techniques

Ehsan Mehryaar, Matthew J. Bandelt
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-165
https://doi.org/10.56952/IGS-2022-165
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View Paper titled, Geological Modeling Along Tunnel Projects Using Machine Learning Techniques
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Proceedings Papers

Selection of Sand Control Completion Techniques Using Machine Learning

H. Laoufi, Z. Megherbi, N. Zeraibi, A. Merzoug, A. Ladmia
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-118
https://doi.org/10.56952/IGS-2022-118
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View Paper titled, Selection of Sand Control Completion Techniques Using Machine Learning
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Proceedings Papers

New Approach for Stress Computation during Loading and Unloading in Modified Cam Clay Model

Seyed Mousa Mousavi Mirkalaei, David Tran, Vijay Shrivastava, Long Nghiem, Prasanna Chidambaram, Siti Syareena M Ali, Abdul Hakim Mazeli, Tan Chee Phuat
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-177
https://doi.org/10.56952/IGS-2022-177
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View Paper titled, New Approach for Stress Computation during Loading and Unloading in Modified Cam Clay Model
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Proceedings Papers

Intelligent Evaluation on Drillability of Shale Gas Formation in N2 Region of Changning Field in Sichuan, Southwest China

Haiyan Zheng, Botao Lin
Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-181
https://doi.org/10.56952/IGS-2022-181
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View Paper titled, Intelligent Evaluation on Drillability of Shale Gas Formation in N2 Region of Changning Field in Sichuan, Southwest China
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Proceedings Papers

In-situ stresses prediction by using a CNN-BiLSTM-Attention hybrid neural network

Tianshou Ma, Guofu Xiang
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-021
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View Paper titled, In-situ stresses prediction by using a CNN-BiLSTM-Attention hybrid neural network
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Proceedings Papers

Comparison and Validation of Analytical and Numerical Sand Production Prediction Methods with Core Tests and Field Sanding Data

A. Khaksar, M. S. Asadi, A. Younessi
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-060
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View Paper titled, Comparison and Validation of Analytical and Numerical Sand Production Prediction Methods with Core Tests and Field Sanding Data
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Proceedings Papers

3D Fracture model in a Fault and Thrust Belt oil field. Insights from subsurface, outcrop analogue and DFN modeling

M. L. Ciancio, R. G. López, E. A. Rojas Vera, M. A. López Ordines, D. E. Hryb, R. C. Barberis
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-075
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View Paper titled, 3D Fracture model in a Fault and Thrust Belt oil field. Insights from subsurface, outcrop analogue and DFN modeling
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Proceedings Papers

Sonic Logs Prediction in Real Time by Using Random Forest Technique

Hany Gamal, Ahmed Alsaihati, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-106
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View Paper titled, Sonic Logs Prediction in Real Time by Using Random Forest Technique
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Proceedings Papers

Numerical Simulation of Creep In Salt-gypsum Formation of Directional Well In Xinghuo Area

S. H. Du, B. Hou, Z. Cui
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-010
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View Paper titled, Numerical Simulation of Creep In Salt-gypsum Formation of Directional Well In Xinghuo Area
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Proceedings Papers

Prediction of shear wave velocity using machine learning technique, multiple regression and well logs

Lin Shi, Jiachen Zhang
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-095
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View Paper titled, Prediction of shear wave velocity using machine learning technique, multiple regression and well logs
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Proceedings Papers

Gas Injection Optimization Under Uncertainty in Subsurface Reservoirs: An Integrated Machine Learning-Assisted Workflow

X. He, T. Qiao, R. Santoso, H. Hoteit, M. M. AlSinan, H. T. Kwak
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-009
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View Paper titled, Gas Injection Optimization Under Uncertainty in Subsurface Reservoirs: An Integrated Machine Learning-Assisted Workflow
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Proceedings Papers

Workflow to Build a Continuous Static Elastic Moduli Profile From the Drilling Parameters Using Artificial Intelligence

O. M. Siddig, S. M Elkatatny
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-113
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View Paper titled, Workflow to Build a Continuous Static Elastic Moduli Profile From the Drilling Parameters Using Artificial Intelligence
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Proceedings Papers

Development of 3D-Geomechanical Model for Buzurgan Oil Field Using Actual and ANN-developed Synthetic Logs

A. Q. Jubair, F. A. Hadi
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-123
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View Paper titled, Development of 3D-Geomechanical Model for Buzurgan Oil Field Using Actual and ANN-developed Synthetic Logs
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Proceedings Papers

Pore Pressure Estimation While Drilling Using Machine Learning

A. A. Ahmed Abdelaal, S. E. Salaheldin Elkatatny, A. A. Abdulazeez Abdulraheem
Paper presented at the ARMA/DGS/SEG International Geomechanics Symposium, November 1–4, 2021
Paper Number: ARMA-IGS-21-115
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View Paper titled, Pore Pressure Estimation While Drilling Using Machine Learning
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