Nombre del curso Fecha Ubicación Instructor Disciplina Precio Inscripción
Modern Production Data Analysis for Unconventional Reservoirs 15 septiembre 2025 a 19 septiembre 2025
CONFIRMADO 		Live Streaming Erdal Ozkan
 Ingeniería de Reservorios
Data Science
 USD 1950 Inscribirme
Modelos de Aprendizaje Profundo (IA) aplicados a Ingeniería de Producción, Mantenimiento y Reservorios 6 octubre 2025 a 10 octubre 2025
CONFIRMADO 		Live Streaming Diego Leiguarda
 Ingeniería de Reservorios
Producción
Mantenimiento y Confiabilidad
Data Science
 USD 1450 Inscribirme
Data Analytics for Petrophysics 10 noviembre 2025 a 14 noviembre 2025
 Londres Peter Kowalchuk
 Geociencias
Petrofísica
Data Science
 USD 4.550 + VAT Inscribirme
Unconventional Reservoir Engineering 1 diciembre 2025 a 5 diciembre 2025
 Live Streaming Erdal Ozkan
 Ingeniería de Reservorios
Data Science
 USD 1950 Inscribirme
Data Science para Petrofísica 8 diciembre 2025 a 12 diciembre 2025
 Live Streaming Peter Kowalchuk
 Geociencias
Petrofísica
Data Science
 USD 1550 Inscribirme
Contacto
+44 7897 036180
info@bauerberg-klein.com
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United Kingdom
Alders Farm Fishery
Ivy Lane Great Brickhill MK17 9AH, London, UK
Uruguay
Constituyente 1467 ap 2002,
Montevideo Uruguay
Abu Dhabi and CGG Region
Our Partner: Numero Uno Training & Consulting LLC
Dirección: Block B – Behind Dalma Mall, Mussafah – Abu Dhabi – UAE

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  • Peter Kowalchuk

    • He is a Principal Program Manager at Microsoft, where he specializes in implementing advanced AI and Generative AI technologies to address challenges across various industries, particularly in energy, with a focus on oil and gas. Collaborating with Microsoft partners, he actively contributes to defining and implementing state-of-the-art solutions that leverage the latest advancements in data science, data engineering, and modeling. With over 25 years of industry experience, Peter began his career with Schlumberger and Halliburton, holding positions in operations, product development, and consulting. Beyond his industry contributions, he imparts his knowledge as a professor of Information Systems and Data Science at both the undergraduate and graduate levels at the City University of New York, playing a vital role in shaping the next generation of professionals. Peter has shared his insights through several SPE papers, highlighting the transformative impact of new technologies on industry workflows.

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