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E-mail: |
kulga@itu.edu.tr
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Phone |
+90 212 285 6269 |
Room |
D-205, Faculty of Mines |
Website |
akademi.itu.edu.tr/kulga
Google Scholar |
Research Interests |
Unconventional reservoirs, CO2 sequestration, machine learning, reservoir simulation
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Education |
Ph.D. |
Penn State University, Petroleum and Natural Gas Engineering, 2014
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M.S. |
Penn State University, Petroleum and Natural Gas Engineering, 2010
Istanbul Technical University, Energy Science and Technology, 2010
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B.Sc. |
Middle East Technical University, Petroleum and Natural Gas Engineering, 2004
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Courses Given |
Graduate |
PET 504E: Advanced Well Test Analysis, PET 513E: Numerical Reservoir Simulation
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Undergraduate |
PET 428E: Simulation of Geosystems, PET 332E: Production Engineering and Surface Facilities, MAT 202E Numerical Methods
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Selected Publications |
1. Artun, E., Kulga, B. (2020). Selection of candidate wells for re-fracturing in tight gas sand reservoirs using fuzzy inference. Petroleum Exploration and Development, 47(2):413-420. |
2. Kulga, B., Ertekin, T. (2018). Numerical representation of multi-component gas flow in stimulated shale reservoirs, Journal of Natural Gas Science and Engineering, 56: 579-592. |
3. Kulga, B., Artun, E., Ertekin, T. (2018). Characterization of tight-gas sand reservoirs from horizontal-well performance data using an inverse neural network. Journal of Natural Gas Science and Engineering, 59:35-46. |
4. Kulga, B., Artun, E., Ertekin, T. (2017). Development of a data-driven forecasting tool for hydraulically fractured, horizontal wells in tight-gas sands. Computers & Geosciences, 103:99-110. |