Výsledky vyhledávání - "Saniya Karnik"

Data Driven Solution for Enhancing Workover Intervention Activities

Autor: Saniya Karnik, Supriya Gupta, Jason Baihly, David Saier

Publikováno v: Day 3 Tue, November 30, 2021.

Recent advancements in the field of natural language processing (NLP) and machine learning has allowed for the potential to ingest decades of field history and heterogeneous production records. This paper proposes an analytics workflow that leverages

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d68b09a68daa97f72f76cc9ff18f98b
https://doi.org/10.2118/204712-ms

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Advancement in Data Engineering and Feature Processing Workflow by Using Deep Learning Techniques for the Automation of ESP Failure Root Cause Analyses

Autor: Saniya Karnik, Navya Yenuganti, Bonang Firmansyah Jusri, Supriya Gupta, Prasanna Nirgudkar, Mahyar Mohajer, Asim Malik

Publikováno v: Day 2 Mon, November 29, 2021.

Today, Electrical Submersible Pump (ESP) failure analysis is a tedious, human-intensive, and time-consuming activity involving dismantle, inspection, and failure analysis (DIFA) for each failure. This paper presents a novel artificial intelligence wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::752622355c607f6d86a9a85961e518c3
https://doi.org/10.2118/204566-ms

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Electrical Submersible Pump Prognostics and Health Monitoring Using Machine Learning and Natural Language Processing

Autor: Supriya Gupta, Saniya Karnik, Rajeev Sinha, Praprut Songchitruksa, Amey Ambade

Publikováno v: Day 1 Mon, October 18, 2021.

Electrical Submersible Pump (ESP) systems efficiently pump high volumes of production fluids from the wellbore to the surface. They are extensively used in the oil and gas industry due to their adaptability, low maintenance, safety, relatively low en

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fbc5f7c31653a4b8f1d6f44954c18a0f
https://doi.org/10.2118/208649-ms

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Automated ESP Failure Root Cause Identification and Analyses Using Machine Learning and Natural Language Processing Technologies

Autor: Bonang Firmansyah Jusri, Mahyar Mohajer, Supriya Gupta, Asim Malik, Prasanna Nirgudkar, Navya Yenuganti, Saniya Karnik

Publikováno v: Day 2 Tue, October 05, 2021.

Today, the Dismantle, Inspection, and Failure Analysis (DIFA) process for electrical submersible pump (ESP) failure analysis is a tedious, human-intensive, and time-consuming activity. The activity involves a set of data and various information forma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a385df35115d7e79decba83ebb6bd6ae
https://doi.org/10.2118/204519-ms

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Machine Intelligence for Integrated Workover Operations

Autor: Supriya Gupta, Jason Baihly, Saniya Karnik

Publikováno v: Day 1 Mon, March 22, 2021.

Because of recent advancements in the field of natural language processing (NLP) and machine learning, there is potential to ingest decades of field history and heterogeneous production records. This paper proposes an analytics workflow that leverage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da40dfab468da4b937d5cc4e14ebd7ec
https://doi.org/10.2118/204423-ms

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