... and nonlinear beamforming (Bakulin et al., 2018, 2020). Definition of SNR is the ratio of signal power to noise Quantitative and automated comparison of the data quality before and after data enhancement could greatly assist the power. SNR can be formulated in the logarithmic scale as processing and lessen...

... approach combining nonlinear beamforming and time-frequency masking to compensate for such effects in two steps. First, we construct a crude signal “guide” using data-driven nonlinear beamforming. Second, we employ trace-by-trace time-frequency masking to repair damaged phase and amplitude. Phase masks...

... attributes for nonlinear beamforming can greatly speed up prestack enhancement of 3D seismic data. Other applications such as velocity analysis or seismic tomography can be implemented using a similar approach. Presentation Date: Monday, September 16, 2019 Session Start Time: 1:50 PM Presentation Time: 2...

... from the modern land seismic surveys. Presentation Date: Monday, September 16, 2019 Session Start Time: 1:50 PM Presentation Start Time: 3:05 PM Location: 214D Presentation Type: Oral annual international meeting waveform variation waveform correction nonlinear reservoir...

...-stack data enhanced by nonlinear beamforming. This provides a computationally efficient and robust approach for reconstruction of a velocity model early in the time-processing phase enabling iterative processing critical for low signal-to-noise ratio land data. We present details of the tomographic...

... surface multiple surface-related multiple source wavefield imaging method inversion method lateral location nonlinear migration imaging imaging result obn data illumination verschuur seg international exposition wavefield annual international meeting acquisition gap Berkhout...

... ABSTRACT Pore pressure is closely tied to microseismic triggering mechanisms and fluid transport properties of rocks. Pore pressure evolution in the subsurface is commonly described as a linear diffusion phenomenon. Recently, the theory of nonlinear diffusion has been formulated to account...

... the effect of using linear and non-linear stacking operators such as semblance weighted stacks both with and without prior coherent noise attenuation. The optimal variation on the workflow utilizes both a multi-component MCWF and nonlinear stacking operators, it improves arrivals SNR by 7.2 dB relative...

... velocity tomography gas cloud cig pick migration velocity error annual meeting seismic-obscured area true velocity guillaume seg international exposition inversion velocity model building nonlinear upstream oil & gas reservoir characterization Audebert , F. , J. Diet...

... 27, 2017 Start Time: 11:00 AM Location: 370A Presentation Type: ORAL incident wavefield surface-related multiple berkhout wavefield imaging reflectivity nonlinear verschuur seismic data upstream oil & gas inversion method reservoir characterization imaging result imaging...

... ABSTRACT Modern seismic data acquired with dense high-channel count acquisition systems are very challenging to process, especially in the presence of a complex near surface or overburden. To address this issue, we develop a nonlinear beamforming algorithm for pre-stack data enhancement...

... is proposed to compensate the low frequencies of vibroseis signal by using the combination of heterodyning and the empirical mode decomposition (EMD). Considering that the vibroseis signal is nonlinear and time-variant, the original signal needs to be decomposed into a series of intrinsic mode functions...

... reference list upstream oil & gas phase only minimum phase output correlation high fidelity vibratory seismic signature annual international meeting signature deconvolution siewert phase only signature frequency baseplate signature reservoir characterization nonlinear dynamic...

... migration nonlinear algorithm conventional rtm crosstalk noise multiple wavefield illumination wavefield reservoir characterization water bottom horizon upstream oil & gas rtmm primary wavefield imaging reverse time multiple migration complementary image Summary...

...-stationary signal artificial intelligence nonlinear high frequency imf empirical mode decomposition noise reduction reduction frequency imf noise reduction method main menu noise reduction eemd noise wavelet method Noise reduction based on wavelet threshold filtering and ensemble empirical...

... information fomel similarity-mean filter international exposition prediction university annual international meeting structure-enhancing nonlinear houston 2009 plane-wave construction nonlinear seismic data geophysics coefficient prediction direction upstream oil & gas random...

.... Figure 3 is a color map showing an EM detection map of these Calibration Lanes with the AOL2 system while surveying in its dynamic mode. nonlinear main menu curve parameterization polarizability transient geoscience algorithm target parameter temdipole transmitter loop calibration lane...

... artificial intelligence time-lapse seismicdifference analysis wavelet transform seismic monitoring nonlinear reservoir characterization The combination of wavelet transform and nonlinear filtering for time-lapse seismic difference analysis Long Jin*, University of Texas at Austin, Xiaohong Chen...

... convergence geophysical inverse problem sergey fomel nonlinear SUMMARY Shaping regularization is a general method for imposing constraints on the estimated model in the process of solving an inverse problem. In this paper, I extend the concept of shaping regularization to the case of nonlinear...

... an approach for calculating the stress field surrounding a borehole in rock with nonlinear anisotropic elastic properties and for predicting how that stress field changes with applied tectonic stress. Using these results we then resolve the complex velocity field in the region near the borehole. I...