| Applying Artificial Neural Network and XGBoost to Improve Data Analytics in Oil and Gas Industry DI Ricky Simanjuntak Indonesian Journal of Energy 4 (1), 26-35, 2021 | 3 | 2021 |
| Coalbed Methane Production Parameter Prediction and Uncertainty Analysis of Coalbed Methane Reservoir with Artificial Neural Networks HR Sumardi, D Irawan Indonesian Petroleum Association, 2016 | 3 | 2016 |
| Prediction of Perforation Efficiency in Gas Well Using Machine Learning S Tejo, Y Amega, I Dedy SPE Asia Pacific Oil and Gas Conference and Exhibition, D011S009R008, 2021 | 1 | 2021 |
| A PROXY MODEL TO PREDICT WATERFLOODING PERFORMANCE IN CHANNELING DELTAIC SAND RESERVOIR A Yasutra, D Irawan, FO Sitompul PETRO:JURNAL ILMIAH TEKNIK PERMINYAKAN 9 (1), 30-39, 2020 | 1 | 2020 |
| Integrated Initial Water Saturation Modelling D Irawan, M Rakha, MF Agung Scientific Contributions Oil and Gas 42 (3), 95-107, 2019 | 1 | 2019 |
| Permeability Anisotropy Effect in Reservoir Characterization: New Rock Typing Approach D Irawan, FI Wihdany, K Idea Indonesian Petroleum Association, 2019 | 1 | 2019 |
| Production performance prediction in coalbed methane reservoir R Sitaresmi, D Abdassah, D Irawan Int J Eng Tech Res. https://doi. org/10.17577/IJERTV4IS030031, 2015 | 1 | 2015 |
| METODE EVALUASI DAN PERAMALAN KELAKUAN PRODUKSI UNTUK APLIKASI DI LAPANGAN LAPANGAN TUA (BROWNFIELDS) D Irawan | 1 | 2012 |
| STUDY OF PERMEABILITY PREDICTION USING HYDRAULIC FLOW UNIT (HFU) AND MACHINE LEARNING METHOD IN “BSH” FIELD AY Babas Samudera Hafwandi, Dedy Irawan Petro 12 (2), 98-121, 2023 | | 2023 |
| Trap Prevention in Machine Learning in Prediction of Petrophysical Parameters: A Case Study in The Field X HS Adam Putra Pratama Zainuri, Pahala Dominicus Sinurat, Dedy Irawan Scientific Contributions Oil and Gas 46 (3), 21-23, 2023 | | 2023 |
| A Case Study of Primary and Secondary Porosity Effect for Permeability Value in Carbonate Reservoir using Differential Effective Medium and Adaptive Neuro-Fuzzy Inference … R Wardhana, A Yasutra, D Irawan, MW Haidar Scientific Contributions Oil and Gas 45 (1), 13-22, 2022 | | 2022 |
| Prediction of Hydraulic Fractured Well Performance Using Empirical Correlation and Machine Learning K Hamzah, A Yasutra, D Irawan Scientific Contributions Oil and Gas 44 (2), 141-152, 2021 | | 2021 |
| INTEGRATED INITIAL WATER SATURATION MODELLING W Falza Izza, D Irawan, M Rakha, MF Agung RESEARCH AND DEVELOPMENT 42 (3), 2019 | | 2019 |
| Comparison of CO2-ECBM Based on Injection Pattern SM Yusuf, HS Lie, D Irawan, D Abdassah Indonesian Petroleum Association, 2012 | | 2012 |
| Induced Fracture Dimension Prediction Method Based on Production and Pressure Data During Waterflooding HS Lie, D Irawan, D Abdassah Indonesian Petroleum Association, 2012 | | 2012 |
| Predicting the Production Profile of Gas and Water of Coal Bed Methane (CBM) Field Using Material Balance of Modified GR King's Iteration Procedure RT Purba, D Abdassah, D Irawan Indonesian Petroleum Association, 2010 | | 2010 |
| Generating the Dynamic Characteristics and Predicting Techniques for Coal Bed Methane (CBM) Production Using Field Performance Data R Sitaresmi, D Abdassah, T Marhaendrajana, D Irawan Indonesian Petroleum Association, 2009 | | 2009 |
Amega YasutraInstitut Teknologi Bandung在 itb.ac.id 的电子邮件经过验证
