Department Geoenergy
Organisational unit: Departments and Institutes
71 - 80 out of 1,444Page size: 10
Research output
- 2023
- Published
Continuous Drill String for Laboratory-Scale Drilling Rig
Bazoev, A., 2023Research output: Thesis › Master's Thesis
- Published
Determination of Cement and Resin Parameters to Repair Casing Leak: An Experimental Investigation
Erakovic, S., 2023Research output: Thesis › Master's Thesis
- Published
Enhanced Research on the Carbonation Resistance of Wellbore Cement under In-situ Downhole Conditions
Lebwohl, S., 2023Research output: Thesis › Master's Thesis
- Published
Fluid Displacement Study of Various Non_Newtonian Fluids in a Digitalized Flow Setup
Masching, N., 2023Research output: Thesis › Master's Thesis
- Published
Fracture Characterization and Its Impact on Oil Production in Naturally Fractured Reservoirs
Kharrat, R., Kadkhodaie, A. & Ott, H., 2023, 84th EAGE Annual Conference & Exhibition.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
GeomInt—Discontinuities in Geosystems From Lab to Field Scale
Yoshioka, K., 2023Research output: Book/Report › Book › Research
- Published
Geothermal Heat Utilization Feasibility Study
Marx, D., 2023Research output: Thesis › Master's Thesis
- Published
Hydrodynamic prediction of geothermal water injection using machine learning
Hamel, R., 2023Research output: Thesis › Master's Thesis
- Published
Hyperbaric Welding and Wire Arc Additive Manufacturing for Downhole Applications in the Oil and Gas Industry
Escobar, S. M. L., Walzl, A., Ravi, K., Prohaska, M., Stockinger, M., Richardson, I. M., Fateh, N. & Hönig, S., 2023, Society of Petroleum Engineers - SPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition, APOG 2023. Society of Petroleum Engineers , (Society of Petroleum Engineers - SPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition, APOG 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Identification And Characterization of Formations based on Offset Drilling Data using Machine Learning
Angyal, D., 2023Research output: Thesis › Master's Thesis
