Colombia
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This study describes the performance of machine-learning models generated by the self-organizing-map technique to predict electrical rock properties in the Saman field in northern Colombia.
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This paper describes the implementation of a hybrid technology of cyclic steam stimulation and foam into the heavy oil field development plans of the Middle Magdalena Valley basin in Colombia.
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Several projects have been scrapped across the US as inflation causes project costs to soar, while projects in Costa Rica and Rotterdam move forward.
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The discovery in Putumayo could benefit from nearby existing infrastructure.
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A testing and completion program for the CN-1 discovery is under review.
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This paper presents an automated calibration process, probabilistic infill well ranking, and location optimization for a major heavy oil field in Colombia with original oil in place of more than 5 million STB.
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Eighty-eight officers and employees have been released after violence broke out against the oil company Emerald Energy.
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The authors describe implementation of permanent-magnet-motor technology in different artificial lift systems that has resulted in power savings of more than 15% and lifting-cost optimization.
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Data collected from programs such as Energy4Me and the PetrolCopa Reto Escolar in Colombia have been analyzed to show how data science can improve the methodologies used by the data center of the SPE Colombian Section to improve the relationship between the industry and local communities.
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The SPE Colombia Section, through analysis of data obtained in several studies, identified a lack of soft skills in the country’s young professionals in the energy sector. As a result of the analyses, a project was designed to improve these skills through various activities and keynotes.
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