A5110946447- Seismic Imaging and Inversion Techniques
- Drilling and Well Engineering
- Music and Audio Processing
- Hydraulic Fracturing and Reservoir Analysis
- Geological and Geophysical Studies Worldwide
- Environmental and Ecological Studies
- Distributed and Parallel Computing Systems
- Geotourism and Geoheritage Conservation
- Image and Signal Denoising Methods
- Parallel Computing and Optimization Techniques
- Advanced Neural Network Applications
- Karst Systems and Hydrogeology
- Environmental and Cultural Studies in Latin America and Beyond
- Welding Techniques and Residual Stresses
- Non-Destructive Testing Techniques
- Seismology and Earthquake Studies
- Computational Physics and Python Applications
Fraunhofer Institute for Industrial Mathematics
2022-2025
Supply Chain Competence Center (Germany)
2025
Laboratoire de Géologie de l’École Normale Supérieure
2025
École Normale Supérieure - PSL
2025
Université Paris Sciences et Lettres
2025
Centre National de la Recherche Scientifique
2025
Universidad de Burgos
2023
École Normale Supérieure
2022
Seismic data processing involves techniques to deal with undesired effects that occur during acquisition and pre-processing. These mainly comprise coherent artefacts such as multiples, non-coherent signals electrical noise, loss of signal information at the receivers leads incomplete traces. In past years, there has been a remarkable increase machine-learning-based solutions have addressed aforementioned issues. particular, deep-learning practitioners usually relied on heavily fine-tuned,...
Abstract Multiple attenuation is an important step in seismic data processing, leading to improved imaging and interpretation. Radon‐based algorithms are commonly used for discriminating primaries multiples common depth point gathers. This process implies a large number of parameters that need be optimized satisfactory result. Moreover, approaches sometimes present challenges with similar moveouts. Deep learning, based on convolutional neural networks, has recently shown promising results...
Las Loras UNESCO Global Geopark (UGGp) is geologically diverse, particularly in relation to water-derived features: springs, karst travertine buildings, waterfalls, caves. In this work, the interactions between geology, geomorphology, structures and hydrogeology are analyzed. As a result of study, first conceptual model hydrogeological functioning at UGGp presented. The most plausible hypothesis that system formed by two superimposed aquifer systems, separated an aquitard Lower Cretaceous...
Seismic data processing involves techniques to deal with undesired effects that occur during acquisition and pre-processing. These mainly comprise coherent artefacts such as multiples, non-coherent signals electrical noise, loss of signal information at the receivers leads incomplete traces. In past years, there has been a remarkable increase machine-learning-based solutions have addressed aforementioned issues. particular, deep-learning practitioners usually relied on heavily fine-tuned,...
Summary In this work, we explore three deep learning algorithms apply to seismic interpolation: prior image (DPI), standard, and generative adversarial networks (GAN). The standard GAN approaches rely on a dataset of complete decimated images for the training process, while DPI method learns from itself, without images. We carry out two main experiments, considering 10%, 30%, 50% regular irregular decimation. first tests optimal situation approaches, where testing are same dataset. second...
Summary Seismic data has often missing traces due to technical acquisition or economical constraints. A compete dataset is crucial in several processing and inversion techniques. Deep learning algorithms, based on convolutional neural networks (CNNs), have shown alternative solutions that overcome limitation of traditional interpolation methods e.g. regularity, linearity assumption, etc. There are two different paradigms CNN for seismic interpolation. The first one, so-called deep prior...
Las Loras UNESCO Global Geopark (UGGp) is geologically diverse, particularly in relation to water-derived features: springs, karst travertine buildings, waterfalls, caves. In this work, the interactions between geology, geomorphology, structures and hydrogeology are analyzed. These four components fundamentals of geodiversity their provide a conceptual model hydrogeological functioning at UGGp. The most plausible hypothesis that system formed by two superimposed aquifer systems, separated an...