A5050221649- Seismic Imaging and Inversion Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Drilling and Well Engineering
- Mineral Processing and Grinding
- Reservoir Engineering and Simulation Methods
- Advanced Machining and Optimization Techniques
- Seismic Waves and Analysis
- Water Quality Monitoring Technologies
- Metal Extraction and Bioleaching
- Geophysical and Geoelectrical Methods
- Geophysical Methods and Applications
- Non-Destructive Testing Techniques
Institución Universitaria Esumer
2023
Instituto Tecnológico Metropolitano
2018-2022
Universidad Nacional de Colombia
2018
Abstract We use machine learning algorithms (artificial neural networks, ANNs) to estimate petrophysical models at seismic scale combining well-log information, data and attributes. The resulting images are the prior inputs in process of full-waveform inversion (FWI). calculate attributes from a stacked reflected 2-D section then train ANNs approximate following parameters: P-wave velocity ( $$V_\mathrm{{p}}$$ <mml:math...
Este trabajo detalla el diseño y la implementación de una arquitectura Internet las Cosas centrada en monitoreo temperatura humedad. La selección estratégica tecnologías, como Arduino, módulos LoRa, sensor DHT11 microcontrolador ESP32, constituye base del sistema. Se destaca empleo Python Flask para desarrollar interfaz usuario aplicación web, asegurando así experiencia fácil accesible. Además, se enfatiza algoritmos modulares medidas autenticación mejorar escalabilidad seguridad El artículo...
We have applied instantaneous seismic attributes to a stacked P-wave reflected section in the Tenerife field located Middle Magdalena Valley Basin Colombia estimate volume of clay [Formula: see text] and density at scale. The well logs associated trace closer one available wells (Tenerife-2) is information used train some multilayered artificial neural networks (ANN). perform data analysis via gamma test, mathematically nonparametric nonlinear smooth modeling tool, choose best input...
We apply instantaneous seismic attributes to a stacked P-wave reflected section in the Tenerife field located Middle Magdalena Valley Basin (MMVB) Colombia estimate effective porosity f, water saturation Sw and volume of clay Vclay at scale. The well-logs associated trace closer one available wells is information used train some multi-layered Artificial Neural Networks (ANN). In order chose best input combination an ANN these petrophysical parameters, we perform data analysis using...
A common application in seismic imaging of machine learning algorithms (Artificial Neural Networks) is to produce petrophysical models at scale combining well-log information and data. Here we use these resulting as prior inputs full-waveform inversion (FWI). We compute instantaneous attributes a stacked P-wave reflected section the Tenerife field located Colombia train Artificial Networks (ANN's) estimate velocity Vp, density ρ volume clay Vclay scale. The logs are provided by well near...
It is important that new strategies are developed for the management of geoelectrical data produced from engineering and geoscience processing techniques. For this reason, article demonstrates how pyGIMLi can be used purpose. an open-source library inversion apparent resistivity array often obtained with different survey equipment. The aim to able use unaided various projects and/or perform operations in which results more specific differentiated than those derived other techniques, taking...
En este estudio se evaluó la eficiencia del sistema de molienda y clasificación en un circuito cerrado para una planta cementera. Se compararon los requerimientos energéticos determinados mediante el modelo Bond con consumo energía calculado utilizando media móvil. identificaron las causas diferencias entre cálculos teóricos valores reales considerando partículas curvas partición efecto Fish-Hook. encontró que superan 125.9-229.3% términos energía, debido a bastante baja causada por alto...