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Proceedings Papers

MAGCS: Machine Assisted Geologic Carbon Storage

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H. M. Alqassab, M. Feng, J. A. Becker, S. Song, T. Mukerji
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222120-MS
https://doi.org/10.2118/222120-MS
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Proceedings Papers

Predicting Scale Depositions of Barium and Strontium Sulfates Using Novel Artificial Neural Network Algorithms

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Mohamed Mostafa Askar, Mahmoud Abu El Ela, Ahmed H. El-Banbi, Mohamed H. M. Sayyouh
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222123-MS
https://doi.org/10.2118/222123-MS
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View Paper titled, Predicting Scale Depositions of Barium and Strontium Sulfates Using Novel Artificial Neural Network Algorithms
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Proceedings Papers

Enhancing Geological Studies Efficiency Through AI-Driven Analysis: A Case Study in Lower Cretaceous Time

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R. Vaz, B. Al Muhairi, M. A. AlTamimi, D. Egorov, F. Yang, X. Li, R. AlZaabi
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222180-MS
https://doi.org/10.2118/222180-MS
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View Paper titled, Enhancing Geological Studies Efficiency Through AI-Driven Analysis: A Case Study in Lower Cretaceous Time
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Proceedings Papers

Mechanism of Water Cut Reduction in CO 2 Flooding to Enhance GOR Curve Prediction Accuracy

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Z. Xiao, P. Diwu, B. Zhao, Y. Wei, H. Liu, J. Wang
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-223049-MS
https://doi.org/10.2118/223049-MS
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View Paper titled, Mechanism of Water Cut Reduction in CO 2 Flooding to Enhance GOR Curve Prediction Accuracy
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Proceedings Papers

Mapping of Karst Using Deep Learning Method: A Case Study in Central Luconia, Sarawak

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N. N. Anis Amalina, N. M. Hassan, S. N. Fathiyah Jamaludin, Nurul Fatin Izzatie Salman, Ismailalwali Babikir, M. Fahmi Mat Daud
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222097-MS
https://doi.org/10.2118/222097-MS
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View Paper titled, Mapping of Karst Using Deep Learning Method: A Case Study in Central Luconia, Sarawak
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Proceedings Papers

Real-Time Forecasting of Subsurface Porosity During Drilling Using Advanced Time Series Models

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Badr A. Mohamed, Subhan Aliyev, Ahmed Farid Ibrahim, Talal Al-Shafloot
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222460-MS
https://doi.org/10.2118/222460-MS
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View Paper titled, Real-Time Forecasting of Subsurface Porosity During Drilling Using Advanced Time Series Models
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Proceedings Papers

Intelligent ESPs Diagnostic Model Based on Big Data and Machine Learning

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Lu Jiang, LiPing Jiang, Songyi Guo, Heng Xue, Lingfeng Yang, Xialan Tang
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222485-MS
https://doi.org/10.2118/222485-MS
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View Paper titled, Intelligent ESPs Diagnostic Model Based on Big Data and Machine Learning
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Proceedings Papers

Collapse Pressure Prediction and Uncertainty Analysis Based on Mechanism and Data Hybrid-Driven

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Houjun Li, Chenggang Xian, Yingjun Liu, Xiaoqing Huang, Cheng Liu, Jianjun Wang, Yong He
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222938-MS
https://doi.org/10.2118/222938-MS
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View Paper titled, Collapse Pressure Prediction and Uncertainty Analysis Based on Mechanism and Data Hybrid-Driven
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Proceedings Papers

Leveraging Neural Radiance Fields for High-Fidelity 3D Digital Outcrop Reconstruction and Characterization

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Yannick Agbor, Dmitriy Tishechkin
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222160-MS
https://doi.org/10.2118/222160-MS
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View Paper titled, Leveraging Neural Radiance Fields for High-Fidelity 3D Digital Outcrop Reconstruction and Characterization
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Proceedings Papers

Predicting System Surface Parameters Using Artificial Neural Network

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Mohammad Eltrissi, Omar Yousef
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222605-MS
https://doi.org/10.2118/222605-MS
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View Paper titled, Predicting System Surface Parameters Using Artificial Neural Network
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Proceedings Papers

Advanced Corrosion Classification Utilizing Machine Learning and Deep Learning Algorithms

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Ali H. Alquraini, Hussain H. Al Sadah, Ryyan A. Bayounis, Mohammad S. Al-Kadem
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221964-MS
https://doi.org/10.2118/221964-MS
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View Paper titled, Advanced Corrosion Classification Utilizing Machine Learning and Deep Learning Algorithms
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Proceedings Papers

AI-Automated Drilling RTOC with ML and Deep Learning Anomaly Detection Approach

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Abdallah Benzine, Amine El Khair, Sebastiaan Buiting, Soumyadipta Sengupta, Badal Gupta, Ufaq Khan, Youssef Tamaazousti, Sudheesh Vadakkekalam, Sreejith Balakrishnan, Ahmed Jhinaoui, Imane Chraibi, Dhaker Ezzeddine, Arghad Arnaout, Shreepad Purushottam Khambete, Paulinus Bimastianto, Abdullah Ibrahim, Ahmed Al Hai Al Hai
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222517-MS
https://doi.org/10.2118/222517-MS
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View Paper titled, AI-Automated Drilling RTOC with ML and Deep Learning Anomaly Detection Approach
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Proceedings Papers

Improving Lateral Continuity in Direct Petrophysical Inversion from Seismic Using Deep Learning

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C. L. Lew, C. MacBeth, A. ElSheikh, M. S. Jaya, M. I. Ahmad Fuad
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222530-MS
https://doi.org/10.2118/222530-MS
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View Paper titled, Improving Lateral Continuity in Direct Petrophysical Inversion from Seismic Using Deep Learning
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Proceedings Papers

Enhancing the Efficiency of Refining Processes: A Desktop Solution for Predicting FCC Yield Profiles

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Pintu Maity, Ajay Khande, Supriyo Majumder, Prabha Dasila, Chiranjeevi Thota
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222584-MS
https://doi.org/10.2118/222584-MS
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View Paper titled, Enhancing the Efficiency of Refining Processes: A Desktop Solution for Predicting FCC Yield Profiles
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Proceedings Papers

On-Edge Implemented Machine-Learning Based Synthetic Flame Detector for Gas Turbine Operation

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Valentina Gori, Kanika Goyal, Tiziano Roma, Gianni Bagni, Riccardo Carta, Bruno Giunta, Giovanni Tonno, Giovanni De Magistris
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222579-MS
https://doi.org/10.2118/222579-MS
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View Paper titled, On-Edge Implemented Machine-Learning Based Synthetic Flame Detector for Gas Turbine Operation
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Proceedings Papers

Predicting HPAM Polymer Yield Viscosity using Neural Networks

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Rémi Maillon, Guillaume Dupuis
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222598-MS
https://doi.org/10.2118/222598-MS
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View Paper titled, Predicting HPAM Polymer Yield Viscosity using Neural Networks
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Proceedings Papers

Optimal Matching of Multi-stage Fracturing Parameters with Geological Characteristics in Shale Gas Well Based on Deep Learning Algorithm

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Yang Luo, Bo Kang, Jianhua Qu, Hehua Wang, Zhongrong Mi, Yi Cheng, Yong Xiao, Xing Zhao, Yan Feng, Jianchun Guo, Cong Lu
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222271-MS
https://doi.org/10.2118/222271-MS
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View Paper titled, Optimal Matching of Multi-stage Fracturing Parameters with Geological Characteristics in Shale Gas Well Based on Deep Learning Algorithm
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Proceedings Papers

Artificial Neural Networks for Optimization of Natural Gas Flow Through Surface Well Chokes

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Ashraf Ahmed, Ahmed Abdulhamid Mahmoud, Murtada A. Elhaj, Salaheldin Elkatatny
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222586-MS
https://doi.org/10.2118/222586-MS
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View Paper titled, Artificial Neural Networks for Optimization of Natural Gas Flow Through Surface Well Chokes
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Proceedings Papers

Leveraging Physics-Informed Neural Networks for Faster and More Accurate Simulation of Gas-to-Liquid Operations and Design

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T. Nikolaienko, H. Patel, A. Panda, S. Joshi, S. Jaso, K. Kalyanaraman
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222775-MS
https://doi.org/10.2118/222775-MS
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View Paper titled, Leveraging Physics-Informed Neural Networks for Faster and More Accurate Simulation of Gas-to-Liquid Operations and Design
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Proceedings Papers

Advancement in Seismic Data Conditioning Using Tailored Deep Neural Networks

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Mujeeb Oke, Hesham Hasan, Hiren Maniar, Georges Assaf, Tao Zhao, Aria Abubakar, Houcine Ben Jeddou, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222977-MS
https://doi.org/10.2118/222977-MS
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View Paper titled, Advancement in Seismic Data Conditioning Using Tailored Deep Neural Networks
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