Edo Pratama

About Edo Pratama

Edo Pratama, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Universiti Teknologi Petronas, specializes in the field of Petroleum Engineering, Geoscience, Data Analytics.

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

Uncertainty and Risk Due to Known Knowns, Known Unknowns and Unknown Unknowns in Saline Aquifer CO2 Sequestration

Subsurface to Surface Network Modeling for CO2 Sequestration in a Deep Saline Aquifer

Machine Learning Vs. Statistical Models Approach: A Case for Probabilistic AFE Cost in Drilling

De-risking subsurface uncertainties in developing and managing deepwater turbidite gas assets through data analytics

Well pair based communication strength analysis for water injection reservoir surveillance using monte carlo simulation coupled with machine learning approach

The Art of Deploying Data Mining and Machine Learning in Developing and Managing Deepwater Turbidite Gas Assets

Data Mining Approach Evaluates the Impact of Depositional Environment on Gas Reservoirs Performance

Edo Pratama Information

University

Position

Faculty of Geosciences and Petroleum Engineering

Citations(all)

56

Citations(since 2020)

51

Cited By

22

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Edo Pratama Skills & Research Interests

Petroleum Engineering

Geoscience

Data Analytics

Top articles of Edo Pratama

Uncertainty and Risk Due to Known Knowns, Known Unknowns and Unknown Unknowns in Saline Aquifer CO2 Sequestration

2024/2/22

Edo Pratama
Edo Pratama

H-Index: 3

Subsurface to Surface Network Modeling for CO2 Sequestration in a Deep Saline Aquifer

2023/9/12

Machine Learning Vs. Statistical Models Approach: A Case for Probabilistic AFE Cost in Drilling

2022/10/31

Edo Pratama
Edo Pratama

H-Index: 3

De-risking subsurface uncertainties in developing and managing deepwater turbidite gas assets through data analytics

Arabian Journal for Science and Engineering

2022/9

Edo Pratama
Edo Pratama

H-Index: 3

Well pair based communication strength analysis for water injection reservoir surveillance using monte carlo simulation coupled with machine learning approach

2022/3/18

The Art of Deploying Data Mining and Machine Learning in Developing and Managing Deepwater Turbidite Gas Assets

2021/10/4

Edo Pratama
Edo Pratama

H-Index: 3

Data Mining Approach Evaluates the Impact of Depositional Environment on Gas Reservoirs Performance

2021/4/19

See List of Professors in Edo Pratama University(Universiti Teknologi Petronas)

Co-Authors

academic-engine