Failure Prediction For Sucker Rod Pumps Using Analytic Solutions  (SPE-200918-MS)

Research output: Contribution to conference › Poster › Research

Research output: Contribution to conference › Poster › Research

@conference{aa825601b65c4020819c486f4df1e56f,

title = "Failure Prediction For Sucker Rod Pumps Using Analytic Solutions (SPE-200918-MS)",

keywords = "Machine leaning, Artificial Neural Network, Failure prediction, Cost reduction, Production optimization",

author = "Viorica Sirghii and Herbert Hofst{\"a}tter and Rudolf Fruhwirth and Reinhard Pongratz and Michael Nirtl",

year = "2020",

month = apr,

day = "27",

language = "English",

note = "SPE 2020 Energy Resources Conference ; Conference date: 29-06-2020 Through 01-07-2020",

}

TY - CONF

T1 - Failure Prediction For Sucker Rod Pumps Using Analytic Solutions (SPE-200918-MS)

AU - Sirghii, Viorica

AU - Hofstätter, Herbert

AU - Fruhwirth, Rudolf

AU - Pongratz, Reinhard

AU - Nirtl, Michael

PY - 2020/4/27

Y1 - 2020/4/27

KW - Machine leaning

KW - Artificial Neural Network

KW - Failure prediction

KW - Cost reduction

KW - Production optimization

M3 - Poster

T2 - SPE 2020 Energy Resources Conference

Y2 - 29 June 2020 through 1 July 2020

ER -

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