Produção Científica

**Apresentação**

Decomposition and adaptive filtering using binomial filter bank for ground-roll attenuationThe ground-roll is a type of noise associated with land seismic data. It strongly harms the signal-to-noise ratio, and interferes in various stages of the seismic data processing, affecting the final quality of the obtained seismic images. In this paper we propose a method of adaptive filters using binomial filters built from the convolution of pairs of dipoles (1,c) e (c, âˆ’1) for the attenuation of the ground-roll, where c is the first coefficient prediction error calculated by Burg algorithm. It allows for the decomposition of signals in frequency bands from the lowest to the highest adapting to frequency content of the data. Its implementation and use in the processing of seismic data is relatively simple and computationally efficient. |

**Artigo em Revista**

Seismic processing applied to shale-gas reservoir characterization in Reconcavo basinThis paper is intended to present all the steps used in the seismic processing to characterize and interpret the 2D seismic line 0026-RL-1624, located between Dom JoÃ£o and Candeias fields, from the perspective of nonconventional reservoirs. It includes a new SVD (Singular Value Decomposition) method used to attenuate the ground-roll and direct wave, which had a very dispersive form in the shot domain, causing several problems in the visualization of reflections and, consequently, in the raw stacked data as well. It was later applied seismic attributes in order to have a better precision in mapping geological structures of interest and also interpret the main horizons present in the log well data. During the development of this work, the processing step were entirely performed by both Seismic Unix and SeisSpace/Promax, software developed by Landmark/Halliburton. |

**Apresentação**

Empirical Mode Decomposition and Spectral Balance to attenuate the Ground rollThis paper presents techniques to reduce this noise, based on the empirical modes decomposition and spectral balancing. The breakdown in empirical ways is to decompose the seismic trace in Intrinsic Mode Functions, which are symmetric functions with local mean zero and the same number of zeros and extreme. But the spectral balancing propose the equalization of data of the frequency bands which generates balanced trace by adding the trace decomposed into each frequency band. Therefore, the attenuation of the ground roll increases, consequently the signal to noise ratio of the line. The numerical results obtained from the seismic line Takutu Basin illustrate the performance of the proposed methodology. When considering the results, we have the guarantee of the value of the proposed method, which increases the signal/noise given since attenuates effectively the ground roll. |

**Apresentação**

An efficient fully spectral method for constant-Q seismic-wave propagationWe present a new modeling approach for wave propagation in anelastic media, based on a fractional spatial differential operator. The problem is solved with the Fourier pseudo-spectral method in the spatial domain and the REM (rapid expansion method) in the time domain, which, unlike the finite-difference scheme, does not require an intermediate storage of the solution and is more accurate. To show the accuracy of the scheme, an analytical solution in a homogeneous anelastic medium is computed and compared with the numerical solution. We present an example of propagation at a reservoir scale and show the efficiency of the algorithm against the conventional finite-difference scheme. The new method, being spectral in time and space simultaneously, offers a highly accurate and efficient solution for wave propagation in attenuating media. |

**Apresentação**

Subsalt structure prediction based on the fast 3d salt tectogenesis modelingThere are presented some results of testing a computational program developed for prediction of the geological structures and the stress-strain state in exploration and characterization of the hydrocarbon deposits in the areas of salt tectonics. |

**Apresentação**

An Improved Method to Calculate the Analytical Wavefield for Causal Imaging ConditionIn this work the analytical wavefield is computed by just solving the wave equation once, differently of conventional methods that need to solve the wave equation twice: once for the source and another for the Hilbert transformed source. Our proposed method can improve the computation of wavefield separation and can bring the causal imaging condition into practice. For time extrapolation, we are using the rapid expansion method to compute the wavefield and its first order time derivative and then compute the analytical wavefield. This method is unconditionally stable and free of numerical noise. By computing the analytical wavefield, we can, therefore, separate the wavefield into down- and up-going components for each time step in an explicit way. For reverse time migration (RTM) applications, we can now employ the causal imaging condition and through a synthetic example, we could demonstrate the effectiveness of this new imaging condition. Moreover, our method has shown to be efficient in term of computation time in comparison with the conventional RTM method using the cross-correlation imaging condition. The RTM result also shows that it can successfully remove the low-frequency noise which is common in the typical cross-correlation imaging condition. |

**Apresentação**

On the temperature dependence of elastic velocities in a synthetic porous VTI mediaIn this work we performed elastic velocities (P and S) measurements as function of temperature in a porous synthetic anisotropic sample constructed in laboratory using a new technique developed by Santos et al (2016). In order to calculate the Thomsen's parameters gamma and epsilon, measurements were made in two different directions of propagation: perpendicular and parallel to the crack planes. For temperatures ranging from 25Â° C to 175Â° C the P-wave velocities decreased 7.8 % and S-wave velocities 7.1 % on average. The anisotropic parameters, Î³ and Îµ remained practically constant along of this range of temperature. |

**Apresentação**

Modelo hÃbrido de prediÃ§Ã£o de velocidade cisalhante utilizando dados de poÃ§oEmpirical observations are common alternatives used to provide a better understanding of how the rock properties are related among them, and even predict those that are difficult to measure in situ. In this work, we present a hybrid approach to estimate shear-wave velocity in brine-saturated composite lithologies modified from Greenberg-Castagna method. Combining local linear regressions with a fluid substitution analysis (Gassmman equation) we obtained good estimates of Vs when lithology and saturation information are available. We applied our methodology on a set of well log data from the North Sea region. |

**Apresentação**

Analysis of Eshelby-Cheng's and Hudson on synthetic cracked modelsPhysical modeling of cracked/fractured media through downscaled laboratory experiments has worked as a great alternative for understanding the effect of anisotropy in the hydrocarbon reservoir, and in the crustal and mantle seismology. The main goal of this work was to experimentally verify the predictions of effective elastic parameters in anisotropic cracked media predicted by Hudson and Eshelby-Cheng's effective cracked models. For this proposal, we carried out ultrasonic measurements on synthetic anisotropic samples with low crack density and different aspect ratios. Six samples were prepared with 5% of crack density. These samples, with three-different aspect ratio cracks (0.13, 0.17 and 0.26), were simulated by penny-shape rubber inclusions in a homogeneous isotropic matrix made with epoxy resin. Moreover, an isotropic sample for reference was constructed with epoxy resin only. Among all samples, three presented only one aspect ratio type (samples with single crack aspect ratio), while other three showed three types of different aspect ratio (mixed crack aspect ratio samples). Regarding predictions performed by the theoretical models, Eshelby-Cheng shows a better fit when compared to the experimental results for samples with single and mix crack aspect ratio. Our comparisons were also performed in terms of Î³ parameter (Thomsen parameters). |

**Apresentação**

Seismic data inversion with curvelet denoising preconditioningSeismic inversion methods are highly sensitive to noise present in the data set. The need to enhance the signal-to-noise ratio (SNR) motivates many researchers do develop increasingly sophisticated denoising methods and combine them into other techniques. While some methodologies operate on a single scale, the curvelet transform established itself as multi-scale transform useful to decompose the seismic signals into multi-resolution elements. In this study, we evaluate the benefits of curvelet denoising as a preconditioning method for poststack seismic data in a 2D acoustic inversion process using a Bayesian framework. Our tests on a synthetic data set simulated in the Marmousi model, and a real data set from the Campos Basin offshore Brazil have shown that the curvelet thresholding method can be successfully applied for random noise elimination. Even the use of a hard global threshold might allow improvements in the deepest parts. Future work will have to show whether alternatives that ensure a more robust way of selecting the coefficients can take into account the wavelength change with depth. |

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