Výsledky vyhledávání - "Carlos Paz Carvajal"

Actor-critic reinforcement learning leads decision-making in energy systems optimization—steam injection optimization

Autor: Ramez Abdalla, Wolfgang Hollstein, Carlos Paz Carvajal, Philip Jaeger

Publikováno v: Neural Computing and Applications.

Steam injection is a popular technique to enhance oil recovery in mature oil fields. However, the conventional approach of using a constant steam rate over an extended period can lead to sub-optimal performance due to the complex nature of the proble

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5911b3007307a5f48e98c86abb83b434
https://doi.org/10.1007/s00521-023-08537-6

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Machine learning approach for predictive maintenance of the electrical submersible pumps (ESPs)

Autor: Ramez Abdalla, Hanin Samara, Nelson Perozo, Carlos Paz Carvajal, Philip Jaeger

Electrical submersible pumps (ESPs) are considered the second-most widely used artificial lift method in the petroleum industry. As with any pumping artificial lift method, ESPs exhibit failures. The maintenance of ESPs expends a lot of resources, an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de5d8d62e62a12074a920b6fa244a117
https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/clausthal_derivate_00001889/acsomega.1c05881.pdf

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