| An integrated workflow to characterize and evaluate low resistivity pay and its phenomenon in a sandstone reservoir E Pratama, M Suhaili Ismail, S Ridha Journal of Geophysics and Engineering 14 (3), 513-519, 2017 | 30 | 2017 |
| Identification of coal seams suitability for carbon dioxide sequestration with enhanced coalbed methane recovery: a case study in South Sumatera Basin, Indonesia E Pratama, MS Ismail, S Ridha Clean Technologies and Environmental Policy, 1-7, 2017 | 13 | 2017 |
| Performance assessment of CO2 sequestration in a horizontal well for enhanced coalbed methane recovery in deep unmineable coal seams S Ridha, E Pratama, MS Ismail Chemical Engineering Transactions 56, 589-594, 2017 | 8 | 2017 |
| Well pair based communication strength analysis for water injection reservoir surveillance using monte carlo simulation coupled with machine learning approach E Pratama, S Ridha, BM Negash Offshore Technology Conference Asia, D041S036R003, 2022 | 3 | 2022 |
| De-risking subsurface uncertainties in developing and managing deepwater turbidite gas assets through data analytics E Pratama Arabian Journal for Science and Engineering 47 (9), 11021-11037, 2022 | 2 | 2022 |
| An alternative approach for dynamic modeling in a complexly structured and heterogeneous carbonate gas reservoir: a field case study E Pratama, MS Ismail, S Ridha, A Buntoro Arabian Journal of Geosciences 10 (16), 355, 2017 | 2 | 2017 |
| Screening Criteria of Optimum Carbon Dioxide Injection for Enhanced Coalbed Methane Recovery and Prediction of Carbon Dioxide Storage Capacity: A Case Study in South Sumatera … E Pratama, MS Ismail, S Ridha Chemical Engineering Transactions 56, 997-1002, 2017 | 2 | 2017 |
| Development of a Predictive Model for Enhanced Gas Recovery by CO2 Huff-n-Puff in Depleted Carbonate Gas Reservoirs E Pratama, MS Ismail, S Ridha 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | 1 | 2018 |
| Geological modeling and material balance study of multilayer heavy-oil reservoirs in Dalimo field E Pratama, MS Ismail International Journal of Education and Learning Systems 1, 2016 | 1 | 2016 |
| Uncertainty and Risk Due to Known Knowns, Known Unknowns and Unknown Unknowns in Saline Aquifer CO2 Sequestration RD Tewari, E Pratama, P Chidambaram, MO Refani, MF Sedaralit, ... Offshore Technology Conference Asia, D021S012R005, 2024 | | 2024 |
| Subsurface to Surface Network Modeling for CO2 Sequestration in a Deep Saline Aquifer E Pratama, MO Refani EAGE Conference on the Future of Energy-Role of Geoscience in the Energy …, 2023 | | 2023 |
| Machine Learning Vs. Statistical Models Approach: A Case for Probabilistic AFE Cost in Drilling MN Muhammad Yunus, WMS Wan Ibrahim, AA Mahadi, MAF Zainalabidin, ... Abu Dhabi International Petroleum Exhibition and Conference, D032S173R003, 2022 | | 2022 |
| The Art of Deploying Data Mining and Machine Learning in Developing and Managing Deepwater Turbidite Gas Assets E Pratama SPE Asia Pacific Oil and Gas Conference and Exhibition, D021S013R005, 2021 | | 2021 |
| Data Mining Approach Evaluates the Impact of Depositional Environment on Gas Reservoirs Performance E Pratama, DR Febriansanu, AJ Widiatama EAGE Asia Pacific Virtual Geoscience Week 2021 (4), 1-5, 2021 | | 2021 |
| DEVELOPMENT OF A PREDICTIVE MODEL FOR ENHANCED GAS RECOVERY BY CO2 HUFF-N-PUFF INJECTION IN DEPLETED CARBONATE GAS RESERVOIRS EDO PRATAMA Universiti Teknologi PETRONAS, 2018 | | 2018 |
| Effect of Coal Seams Thickness on the Performance of CO2 Sequestration for Enhanced Coalbed Methane Recovery P PERSATUAN Warta Geologi 43 (3), 2017 | | 2017 |
| ANALISA DAN PEMODELAN PETROFISIK, SERTA PERKIRAAN KANDUNGAN MINYAK MULA-MULA PADA LOW RESISTIVE SEQUENCE LAPANGAN “ERMIS” DI CHEVRON INDONESIA COMPANY EDO PRATAMA UPN" VETERAN" YOGYAKARTA, 2014 | | 2014 |
| Drilling Parameter Analysis in Solving Pipe Sticking in a Total Loss Circulation Zone Case Study: Well “X” and Well “Y” Geothermal well Ulubelu Field E Pratama Indonesian Petroleum Association, 2013 | | 2013 |
| The Integration of Rate Transient Analysis in Dynamic Material Balance Simulation to Predict Reservoir Performance in an Oil Field EDO PRATAMA, MS ISMAIL | | |
Mohd Suhaili IsmailSenior Lecturer, Universiti Teknologi PetronasVerified email at utp.edu.my
