TY - THES

T1 - Downhole Dynamometer Sensor Data Evaluation

AU - Frauscher, Georg Ignaz

N1 - embargoed until null

PY - 2021

Y1 - 2021

N2 - The objective of this thesis is to explain the downhole dynamometer sensor technology in theory and also by means of a field example in a Vienna Basin oil well. The programming platform MatLab is used to generate files, which enable an interpretation and evaluation of the results. The first part of the thesis provides a general overview of sucker rod pumping systems and conventional dynamometers along with their resulting dynamometer cards and pattern recognition methods. The second part focuses on the downhole dynamometer sensors, which were developed starting in 2014 by the Montanuniversität Leoben in cooperation with lilatech GmbH and enable direct measuring of downhole data. A tutorial on how to use the generated MatLab files is provided and the results of the Vienna Basin field example are evaluated with them. 5 downhole dynamometer sensors were installed at different points of interest along the sucker rod string of the Vienna Basin oil well and measurements were taken for approximately 3 weeks, resulting in 471 datasets. The created MatLab file “DataEvaluationDDS” allows an interpretation of each individual dataset, while the files “DataEvaluationDDSTotals” and “DataEvaluationDDSComparison” enable an analysis and comparison over the entire recording period for each of the 5 sensors. The most significant findings are identified when examining the resulting load versus position diagrams, which indicate an increasing pump-off situation as time progresses. A temperature analysis shows that the liquid produced from the well lost around 17°C during the lifting period and an evaluation of the displacement presents certain temporal shifts between each downhole dynamometer sensor, which are caused by inertia effects of the rod string and its highly dynamic behaviour. Visible fluctuations in a load analysis are caused by increased friction and the results of a comparison of the battery voltage of all 5 sensors over the entire recording period indicate, that the recording times for future field test could be expanded. The novelty of this thesis is the creation of the MatLab files, which are programmed in a manner to work for future downhole dynamometer field examples and can be used for a complete evaluation of recorded downhole data in a sucker rod pumping system.

AB - The objective of this thesis is to explain the downhole dynamometer sensor technology in theory and also by means of a field example in a Vienna Basin oil well. The programming platform MatLab is used to generate files, which enable an interpretation and evaluation of the results. The first part of the thesis provides a general overview of sucker rod pumping systems and conventional dynamometers along with their resulting dynamometer cards and pattern recognition methods. The second part focuses on the downhole dynamometer sensors, which were developed starting in 2014 by the Montanuniversität Leoben in cooperation with lilatech GmbH and enable direct measuring of downhole data. A tutorial on how to use the generated MatLab files is provided and the results of the Vienna Basin field example are evaluated with them. 5 downhole dynamometer sensors were installed at different points of interest along the sucker rod string of the Vienna Basin oil well and measurements were taken for approximately 3 weeks, resulting in 471 datasets. The created MatLab file “DataEvaluationDDS” allows an interpretation of each individual dataset, while the files “DataEvaluationDDSTotals” and “DataEvaluationDDSComparison” enable an analysis and comparison over the entire recording period for each of the 5 sensors. The most significant findings are identified when examining the resulting load versus position diagrams, which indicate an increasing pump-off situation as time progresses. A temperature analysis shows that the liquid produced from the well lost around 17°C during the lifting period and an evaluation of the displacement presents certain temporal shifts between each downhole dynamometer sensor, which are caused by inertia effects of the rod string and its highly dynamic behaviour. Visible fluctuations in a load analysis are caused by increased friction and the results of a comparison of the battery voltage of all 5 sensors over the entire recording period indicate, that the recording times for future field test could be expanded. The novelty of this thesis is the creation of the MatLab files, which are programmed in a manner to work for future downhole dynamometer field examples and can be used for a complete evaluation of recorded downhole data in a sucker rod pumping system.

KW - Downhole Dynamometer Sensor

KW - MatLab Data Evaluation

KW - Sucker Rod Pumping System

KW - Downhole Dynamometer Sensor

KW - MatLab Daten Evaluierung

KW - Sucker Rod Pump System

M3 - Master's Thesis

ER -