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Dedy Irawan
Dedy Irawan
Reservoir Engineering Research Group, Petroleum Engineering Department, Institut Teknologi Bandung
Verifisert e-postadresse på tm.itb.ac.id
Tittel
Sitert av
Sitert av
År
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
32021
Coalbed Methane Production Parameter Prediction and Uncertainty Analysis of Coalbed Methane Reservoir with Artificial Neural Networks
HR Sumardi, D Irawan
Indonesian Petroleum Association, 2016
32016
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
12021
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
12020
INTEGRATED INITIAL WATER SATURATION MODELLING
FI Wihdany, D Irawan, MR Utomo, AM Fitro
Scientific Contributions Oil and Gas 42 (3), 95-107, 2019
12019
Permeability Anisotropy Effect in Reservoir Characterization: New Rock Typing Approach
D Irawan, FI Wihdany, K Idea
Indonesian Petroleum Association, 2019
12019
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
12015
METODE EVALUASI DAN PERAMALAN KELAKUAN PRODUKSI UNTUK APLIKASI DI LAPANGAN LAPANGAN TUA (BROWNFIELDS)
D Irawan
12012
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
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
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