Autorizado por CONCYTEC
This work presents the modeling and development of a methodology based on Model Predictive Control – MPC that uses a machine learning model, based on Reinforcement Learning, as the method for searching the optimal control policy, and a neural network as a proxy, for modeling the nonlinear plant. The neural network model was developed...
Ver másWell design and drilling strategy planning are critical steps during exploration and development of oil and gas fields, but the workflow for well design usually follows a simplified methodology that generally focuses on only one or on a few correlation wells. 3D models are only available for, and focused on, reservoir volume prediction and...
Ver másCloud computing has been growing at a fast pace. This growth has been fueled by this technology’s inherent benefits such as cost reduction and convenience. How-ever, the increasing amount and variety of data processed on the cloud have raised the number of security breaches. Although cloud providers were responsible for data security in...
Ver másIn this multichannel era consumers explore different channels and use the information collected from them to make final purchase decisions. This behavior is called the ‘research shopping phenomenon.’ This trend has been accelerated by the use of mobile devices, which presents features such as personalization and immediacy. Our paper investigates the role of shopping...
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