Michael Nirtl
(Former)
1 - 5 out of 5Page size: 10
Research output
- 2020
- 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
- 2019
- Published
Horizontal Infill Well with AICDs Improves Production in Mature Field - A Case Study
Giden, I., Nirtl, M., Maier, H. & Mohd Ismail, I., 3 Jun 2019.Research output: Contribution to conference › Paper
- 2017
- Published
Sophisticated ESP Sensor Data Analysis and Failure Classification
Nirtl, M., 2017Research output: Thesis › Master's Thesis
