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Applicability of LAMDA as classification model in the oil production

Abstract:

This work analyzes the utilization of classification models in the context of the oil industry and presents examples of application.Particularly, we analyze three case studies, two to explain the behavior of oil wells that produce via artificial methods (the classification as a descriptive model), and another to pbkp_redict the oil prices (the classification as a pbkp_redictive model). The classification technique used in this work is LAMDA-HAD, which is an improvement to the well-known technique called learning algorithm multivariable and data analysis (LAMDA), that has been used in diagnostic tasks. Finally, the results with the descriptive and pbkp_redictive models are discussed, in order to analyze the importance of the classification in the context of the oil business.