Juan I. Sabbione

Juan I. Sabbione
Universidad Nacional de La Plata | UNLP ·  Facultad de Ciencias Astronómicas y Geofísicas

PhD

About

23
Publications
4,960
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329
Citations
Citations since 2016
13 Research Items
268 Citations
2016201720182019202020212022010203040
2016201720182019202020212022010203040
2016201720182019202020212022010203040
2016201720182019202020212022010203040

Publications

Publications (23)
Article
The coefficients that synthesize seismic data via the hyperbolic Radon transform (HRT) are estimated by solving a linear-inverse problem. In the classical HRT, the computational cost of the inverse problem is proportional to the size of the data and the number of Radon coefficients. We have developed a strategy that significantly speeds up the impl...
Article
We present an adaptive filtering method to denoise downhole microseismic data. The methodology uses the apex-shifted parabolic Radon transform. The algorithm is implemented in two steps. In the first step we apply the apex-shifted parabolic Radon transform to the normalized root mean square envelope of the microseismic data to detect the presence o...
Article
Full-text available
We have developed three methods for the automatic picking of first breaks that can be used for marine, dynamite, or vibroseis shot records: a modified Coppens's method, an entropy-based method, and a variogram fractal-dimension method. The techniques are based on the fact that the transition between noise and noise plus signal can be automatically...
Article
We present a robust method for the automatic detection and picking of microseismic events that consists of two steps. The first step provides accurate single-trace picks using three automatic phase pickers adapted from earthquake seismology. In the second step, a multi-channel strategy is implemented to associate (or not) the previous picks with ac...
Article
Full-text available
We have developed a fast method that allowed us to automatically detect and denoise microseismic phase arrivals from 3C multichannel data. The method is a two-step process. First, the detection is carried out by means of a pattern recognition strategy that seeks plausible hyperbolic phase arrivals immersed in noisy 3C multichannel data. Then, the m...
Conference Paper
One of the mayor drawbacks of waveform propagation using finite differences (FD) is the intense computational effort required to solve the wave equation. The computational cost is directly proportional to the number of grid points of the discretized medium, and may become prohibitive for large scale models and fine grid meshes. This motivated the d...
Article
Full-text available
Machine learning is setting the pace in the advancement of data analysis in many fields of science, technology, and industry. In this context, seismic data processing and inversion are approached by strategies that extract the relevant information from the data almost automatically. Dictionary learning and neural networks are two common examples of...
Article
We present a comparison of microseismic data denoising methods based on their effect on the polarization attributes of 3C microseismic signals. The compared denoising methods include the classical band-pass filtering, and three recently proposed denoising techniques: restricted domain hyperbolic Radon transform denoising, singular value decompositi...
Article
We have developed an empirical mode decomposition (EMD) algorithm for effective suppression of random and coherent noise in 2D and 3D seismic amplitude data. Unlike other EMD-based methods for seismic data processing, our approach does not involve the time direction in the computation of the signal envelopes needed for the iterative sifting process...
Conference Paper
We present an algorithm to estimate blocky images of the subsurface acoustic impedance (AI) from seismic reflection data. We use the total variation semi-norm (TV) to regular-ize the inversion and promote blocky solutions which are, by virtue of the capability of TV to handle edges properly, adequate to model layered earth models with sharp contras...
Article
We present a generalized effective poroelastic model for periodically layered media in the mesoscopic scale range, which accounts for both Biot's global and interlayer wave-induced fluid flow, as well as for the anisotropy associated with the layering. Correspondingly, it correctly predicts the existence of the fast and slow P-waves as well as quas...
Conference Paper
Full-text available
Seismic data can be modeled using a forward Radon transform. The coefficients needed to synthesize the data in the Radon domain are estimated by solving an inverse problem. In this paper, we present a strategy to drastically speed up the time domain hyperbolic Radon transform. The method is based on a restriction of the domain used to perform the i...
Conference Paper
Full-text available
In this work we implement very fast simulated annealing (VFSA) and particle swarm optimization (PSO) to locate microseismic events. The two methods are compared to a linear grid search (GS) algorithm in terms of their computational efficiency and accuracy. To this end, two different downhole scenarios are studied, considering the cases where either...
Conference Paper
Full-text available
SUMMARY We propose to adopt the apex-shifted hyperbolic Radon transform to improve the signal-to-noise ratio of microseismic records. For this purpose, we design an algorithm that operates in two stages. First, the normalized average envelope of the multicomponent data is transformed to the Radon domain. The coefficients that reconstruct the averag...
Conference Paper
The study of microseismic data has become an essential tool in many geoscience fields, including oil reservoir geophysics, mining and CO2 sequestration. In hydraulic fracturing, microseismicity studies permit the characterization and monitoring of the reservoir dynamics in order to optimize the production and the fluid injection process itself. As...
Article
Full-text available
We analyzed eight methods of detection and automatic body phase picking. Three of them are conventional methods, two are new methods developed from improvements to conventional methods, and the other three are methods originally designed for first-break picking of seismic exploration data. To analyze the methods, we selected eleven one-hour records...
Article
The aim of this work is to characterize the ionospheric electron content variability during a standard and simple geomagnetic storm, and substorms during it. The analysis is based on tying the geomagnetic disturbances including the signatures of the current wedge formed during the substorm expansion phase, with the variability of ionospheric vertic...

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