| Minibatch least-squares reverse time migration in a deep-learning framework J Vamaraju, J Vila, M Araya-Polo, D Datta, M Sidahmed, MK Sen Geophysics 86 (2), S125-S142, 2021 | 32 | 2021 |
| Streamline rock facies classification with deep learning cognitive process S Mohamed, A Roy, A Sayed SPE Annual Technical Conference and Exhibition?, D031S030R003, 2017 | 21 | 2017 |
| Augmenting operations monitoring by mining unstructured drilling reports M Sidahmed, CJ Coley, S Shirzadi SPE Digital Energy Conference and Exhibition, D021S011R003, 2015 | 21 | 2015 |
| FaciesNet: Machine learning applications for facies classification in well logs C Jaikla, P Devarakota, N Auchter, M Sidahmed, I Espejo Second Workshop on Machine Learning and the Physical Sciences at the 33rd …, 2019 | 17 | 2019 |
| Data Analytics in Reservoir Engineering S Sankaran, S Matringe, M Sidahmed, L Saputelli, XH Wen, A Popa, ... ISBN: 978-1-61399-823-6, 2020 | 14 | 2020 |
| Machine learning method to determine salt structures from gravity data J Chen, C Schiek-Stewart, L Lu, S Witte, K Eres Guardia, F Menapace, ... SPE Annual Technical Conference and Exhibition?, D041S046R007, 2020 | 9 | 2020 |
| Business intelligence impact assessment M Sidahmed | 8 | 2007 |
| Enhancing Wellwork Efficiency with Data Mining and Predictive Analytics M Sidahmed, E Ziegel, S Shirzadi, D Stevens, M Marcano SPE Intelligent Energy International Conference and Exhibition, SPE-167869-MS, 2014 | 7 | 2014 |
| Full-Stack Machine Learning Development Framework for Energy Industry Applications J Chen, C Yao, P Devarakota, M Sidahmed, Z Dong, S Kanuparthi, J Wei Abu Dhabi International Petroleum Exhibition and Conference, D031S084R004, 2022 | 5 | 2022 |
| Machine Learning in Automating Carbon Storage Site Assessment Z Dong, I Folmar, J Chen, L Lu, Q Su, P Seth, M Sidahmed, M Sarfare, ... Abu Dhabi International Petroleum Exhibition & Conference, 2022 | 3 | 2022 |
| Machine Learning in Automating Carbon Sequestration Site Assessment J Chen, L Lu, M Sidahmed, T Bai, I Folmar, P Seth, M Sarfare, ... NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning, 2021 | 3 | 2021 |
| Accelerating least squares imaging using deep learning techniques J Vamaraju, J Vila, M Araya-Polo, D Datta, M Sidahmed, M Sen arXiv preprint arXiv:1911.06027, 2019 | 3 | 2019 |
| Machine Learning Approach for Irregularity Detection in Dynamic Operating Conditions M Sidahmed, R Bailey SPE Annual Technical Conference and Exhibition?, D031S038R002, 2016 | 3 | 2016 |
| Governance of Collaborative Open Source Software: Inference from Transaction Cost Economics Model M Sidahmed, J Gerlach | 3 | 2009 |
| AUTO Channel: AI-driven Automatic Channel Scalar Correction C Sutton, Y Sang, W Pan, P Webster, J Chen, M Sidahmed Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-4, 2023 | 1 | 2023 |
| Empirical Investigation of Open Source Software and Commercial Partner Joint Development Model M Sidahmed AMCIS 2009 Doctoral Consortium, 16, 2009 | 1 | 2009 |
| Empirical analysis of hybrid open source software model: Determination of efficiency and governance MA Sidahmed University of Colorado at Denver, 2009 | 1 | 2009 |
| Method for predicting a co2 storage risk assessment L Lu, J Chen, I Folmar, M Sidahmed, D Zexuan, SU Qiushuo US Patent App. 18/340,455, 2024 | | 2024 |
| Subsurface Image Morphing Operator Using Deep Learning Techniques CS Chen, D Datta, A Chandran, M Gupta, J Chen, M Sidahmed Offshore Technology Conference Brasil, D021S018R003, 2023 | | 2023 |
| Transformers for Site Assessment for Carbon Capture and Sequestration using Legacy Well Data Y Mathur, J Chen, I Folmar, Z Dong, Q Su, L Lu, M Sidahmed Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-5, 2023 | | 2023 |
