E. García-Gonzalo

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Particle swarm optimization (PSO) can be interpreted physically as a particular discretization of a stochastic damped mass-spring system. Knowledge of this analogy has been crucial to derive the PSO continuous model and to introduce different PSO family members including the generalized PSO (GPSO) algorithm, which is the generalization of PSO for any time(More)
One of the major challenges in reservoir modeling for optimizing production is characterizing the spatial distribution of heterogeneous reservoir properties – facies, porosity, and permeability. Time-lapse seismic data in combination with geological and flow modeling has evolved as an important diagnostic tool for efficient reservoir characterization.(More)
Granular media filters are commonly used to remove suspended solids and prevent emitter clogging in microirrigation systems. Silica sand is the standard filtering media but other granular materials can be used for this purpose. The characterization of the pressure drop produced by the clean filtering media is of practical interest for designing and managing(More)
| Inverse problems are ill-posed. Posterior sampling is the way of providing an estimate of the uncertainty based on a finite set of the family of models that fit the observed data within the same tolerance. Monte Carlo methods are used for this purpose but they are highly inefficient. Global optimization methods are able to address the sampling problem.(More)
Predicting paper properties based on a limited number of measured variables can be an important tool for the industry. Mathematical models were developed to predict mechanical and optical properties from the corresponding paper density for some softwood papers using support vector machine regression with the Radial Basis Function Kernel. A dataset of(More)