ProfessorsProfessors of Institut Teknologi BandungDedy Irawan

Dedy Irawan

Institut Teknologi Bandung

H-index: 1

Asia-Indonesia

About Dedy Irawan

Dedy Irawan, With an exceptional h-index of 1 and a recent h-index of 1 (since 2020), a distinguished researcher at Institut Teknologi Bandung, specializes in the field of Reservoir Engineering, Enhanced Oil Recovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

STUDY OF PERMEABILITY PREDICTION USING HYDRAULIC FLOW UNIT (HFU) AND MACHINE LEARNING METHOD IN “BSH” FIELD

Trap Prevention in Machine Learning in Prediction of Petrophysical Parameters: A Case Study in The Field X

A Case Study of Primary and Secondary Porosity Effect for Permeability Value in Carbonate Reservoir using Differential Effective Medium and Adaptive Neuro-Fuzzy Inference …

Applying Artificial Neural Network and XGBoost to Improve Data Analytics in Oil and Gas Industry

Prediction of Perforation Efficiency in Gas Well Using Machine Learning

Prediction of Hydraulic Fractured Well Performance Using Empirical Correlation and Machine Learning

A PROXY MODEL TO PREDICT WATERFLOODING PERFORMANCE IN CHANNELING DELTAIC SAND RESERVOIR

Dedy Irawan Information

University	Institut Teknologi Bandung
Position	Reservoir Engineering Research Group Petroleum Engineering Department
Citations(all)	8
Citations(since 2020)	7
Cited By	3
hIndex(all)	1
hIndex(since 2020)	1
i10Index(all)	0
i10Index(since 2020)	0
Email	Access Email
University Profile Page	Institut Teknologi Bandung
Google Scholar	View Google Scholar Profile

Dedy Irawan Skills & Research Interests

Reservoir Engineering

Enhanced Oil Recovery

Top articles of Dedy Irawan

Title	Journal	Author(s)	Publication Date
STUDY OF PERMEABILITY PREDICTION USING HYDRAULIC FLOW UNIT (HFU) AND MACHINE LEARNING METHOD IN “BSH” FIELD	PETRO: Jurnal Ilmiah Teknik Perminyakan	Babas Samudera Hafwandi Dedy Irawan Amega Yasutra	2023/5/23
Trap Prevention in Machine Learning in Prediction of Petrophysical Parameters: A Case Study in The Field X	Scientific Contributions Oil and Gas	Hari Sasongko Adam Putra Pratama Zainuri Pahala Dominicus Sinurat Dedy Irawan	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 …	Scientific Contributions Oil and Gas	Reza Wardhana Amega Yasutra Dedy Irawan Mochammad Wahdanadi Haidar	2022/4/1
Applying Artificial Neural Network and XGBoost to Improve Data Analytics in Oil and Gas Industry	Indonesian Journal of Energy	Dedy Irawan Ricky Simanjuntak	2021/2/26
Prediction of Perforation Efficiency in Gas Well Using Machine Learning		Sukotrihadiyono Tejo Yasutra Amega Irawan Dedy	2021/10/4
Prediction of Hydraulic Fractured Well Performance Using Empirical Correlation and Machine Learning	Scientific Contributions Oil and Gas	Kamal Hamzah Amega Yasutra Dedy Irawan	2021/8/30
A PROXY MODEL TO PREDICT WATERFLOODING PERFORMANCE IN CHANNELING DELTAIC SAND RESERVOIR	PETRO:JURNAL ILMIAH TEKNIK PERMINYAKAN	Amega Yasutra Dedy Irawan Frans Ondihon Sitompul	2020/4