Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Oluwafemi Opeyemi Balogun"'
Autor:
Jingwen Zheng, Lanre Olabinjo, Ke-Thia Yao, Anqi Wu, Yintao Liu, Cauligi S. Raghavenda, Oluwafemi Opeyemi Balogun, Dong Guo, Iraj Ershaghi
Publikováno v:
All Days.
This paper presents a new generalized global model approach for failure prediction for rod pumps. By embedding domain knowledge into an Expectation Maximization clustering algorithm, the proposed global model is able to statistically recognize pre-fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e80fb0419da91aaf8394f7e1886a3f3
https://doi.org/10.2118/165374-ms
https://doi.org/10.2118/165374-ms
Autor:
Yintao Liu, Oluwafemi Opeyemi Balogun, Shuping Liu, Lanre Olabinjo, Ke-Thia Yao, Cauligi S. Raghavendra
Publikováno v:
ICDM Workshops
In the petroleum industry, multivariate time series data is commonly used to monitor the performance of their assets, in which wells artificial lift systems are among the key assets that bring oil up to the surface. Failures frequently occur among th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a7fbaee97930a396f3f7111eb67ca70
https://doi.org/10.1109/icdmw.2011.151
https://doi.org/10.1109/icdmw.2011.151
Autor:
Shuping Liu, Ke-Thia Yao, Iraj Ershaghi, Yintao Liu, Oluwafemi Opeyemi Balogun, Cauligi S. Raghavendra, Jared Ivanhoe, Burcu B. Seren, Byron Smith, Lanre Olabinjo, Dineshbabu Chinnapparaja C. Gunasekaran, Ram Soma, Tracy Lynn Lenz
Publikováno v:
All Days.
Typically, rod pump system failures are determined using the dynamometer card which may miss some early warnings. This paper presents a novel approach for early failure detection in rod pump wells using more than 14 parameters that indicate the daily
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84fe2ac795ae649220fe3fd6e27aadb5
https://doi.org/10.2118/146038-ms
https://doi.org/10.2118/146038-ms
Forecasting well performance in a discontinuous tight oil reservoir using Artificial Neural Networks
Autor:
Zuleima T. Karpyn, Turgay Ertekin, Fnu Suleen, Oluwafemi Opeyemi Balogun, Amir Mohammad Nejad, David Liebmann, Luis F. Ayala, Qiang Sun, Yogesh Bansal
Publikováno v:
Scopus-Elsevier
Improving the economics of the production and development of an unconventional reservoir system is a key to meeting increased demand for hydrocarbons in the near future. In general, reservoir development is vastly assisted by using hard-computing mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3462df38476df39e8d631e78a2ebc0ea
http://www.scopus.com/inward/record.url?eid=2-s2.0-84881097089&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84881097089&partnerID=MN8TOARS
