Reinhard Pongratz
1 - 7 out of 7Page size: 10
Research output
- 2021
- Published
Sucker Rod Pump Performance in Polymer Back-producing Wells - Simulation, Laboratory and Field Testing
Gesslbauer, H., Eisner, P., Langbauer, C., Knauhs, P., Marschall, C. & Pongratz, R., 1 Oct 2021, In: Erdöl, Erdgas, Kohle. 137.2021, 9, 6 p.Research output: Contribution to journal › Article › Research › peer-review
- 2020
- Published
Electric submersible pump behavior for pumping non-Newtonian fluids
Langbauer, C., Pratscher, H-P., Ciufu, A-C., Hoy, M. G., Marschall, C. & Pongratz, R., Dec 2020, In: Journal of Petroleum Science and Engineering. 195, 107910.Research output: Contribution to journal › Article › Research › peer-review
- Published
Testing of electric submersible pump behaviour for polymer fluids
Langbauer, C., Pratscher, H-P., Ciufu, A., Hoy, M. G., Marschall, C. & Pongratz, R., 1 Jun 2020, In: Oil gas European magazine. 2020, 2, p. 32-42 11 p.Research output: Contribution to journal › Article › Research › peer-review
- Accepted/In press
Failure Prediction For Sucker Rod Pumps Using Analytic Solutions (SPE-200918-MS)
Sirghii, V., Hofstätter, H., Fruhwirth, R., Pongratz, R. & Nirtl, M., 27 Apr 2020, (Accepted/In press).Research output: Contribution to conference › Poster › Research
- Accepted/In press
Failure Prediction for Sucker Rod Pumps using Artificial Intelligence
Sirghii, V., Hofstätter, H., Fruhwirth, R., Pongratz, R. & Nirtl, M., 2020, (Accepted/In press).Research output: Contribution to conference › Poster › Research
- Accepted/In press
Failure Prediction for Sucker Rod pumps Using Analytic Solutions (SPE-200825-MS)
Sirghii, V., Hofstätter, H., Fruhwirth, R., Pongratz, R. & Nirtl, M., 2020, (Accepted/In press).Research output: Contribution to conference › Paper
- 2018
- Published
Formation Breakdown Pressure Predicition with Artificial Neural Networks
Kiss, A., Fruhwirth, R. K., Pongratz, R., Maier, R. & Hofstätter, H., 2018. 16 p.Research output: Contribution to conference › Paper
