Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Michael, Nirtl"'
Publikováno v:
Day 3 Wed, November 17, 2021.
This paper describes the use of data-driven virtual flow metering (VFM) for continuous multiphase flow measurement, which has been developed and tested in an oil field well pilot in Austria. 12 ESP (Electric Submersible Pump) wells have been modelled
Publikováno v:
First Break. 37:85-90
Autor:
Rudolf Konrad Fruhwirth, Viorica Sirghii, Michael Nirtl, Reinhard Pongratz, Herbert Hofstaetter
Publikováno v:
Day 3 Thu, April 22, 2021.
An innovative method for Sucker Rod Pump (SRP) failure prediction based on Improved Completely Connected Perceptron artificial neural networks (ANN) is presented. Results are compared to historical wellbore data. ANN models validity is proven to meet
Publikováno v:
Day 4 Thu, June 06, 2019.
The aim of this paper is to compare the performance of three horizontal infill wells in a mature field, of which one is completed with autonomous inflow control devices (AICDs). The analytic results are based on the comparison of oil production rates
Publikováno v:
Proceedings of the 26th International DAAAM Symposium 2016
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c73b2f73dc3c2644b967a4fb7c424e8e
https://doi.org/10.2507/26th.daaam.proceedings.086
https://doi.org/10.2507/26th.daaam.proceedings.086
Publikováno v:
Annals of DAAAM & Proceedings. 2015, Vol. 26 Issue 1, p0633-0640. 8p.