... on the precision of the tomographic model. Next, the advantages and disadvantages of single receiver in near surface model were analyzed based on the real data received from single receiver and array receiver simultaneously. Both the theoretical and practical data analysis results show that: relative to the array...

... association srme conventional srme applied geoscience & energy 10 attenuation ahmed abouserie rtm stack interference reservoir characterization generator exploration geophysicist multiple attenuation real data demigration modeling srme Multiple attenuation using 3D SRME with targeted...

...-wave. Second, we utilize a correlative misfit instead of the classic L2 misfit in the framework of EFWI to alleviate the interference of possible unreliable amplitudes in observed real data. Third, we perform sequential inversion of several low-pass frequency groups to avoid cycle skipping. Coherent...

... by synthetic data is applied to the real data inversion successfully. Compared with the DNN and CNN, GMcGAN has higher accuracy and can obtain the joint probability density function (PDF) of oil saturation. Compared with the well logging data training, the modeling data-driven GMcGAN can avoid the empirical...

... needed for signal to noise challenges in the Permian Basin. reservoir characterization missing data ground roll upstream oil & gas vertical fold exploration geophysicist 10 applied geoscience midland basin noise geology basement real data azimuthal algorithm acquisition angle...

... characterization suez seismic imaging real data noise node full wavefield migration exploration geophysicist 10 joint migration inversion upstream oil & gas fwm workflow gulf Joint Migration Inversion and Full Wavefield Migration applied on synthetic and real data from the Gulf of Suez...

... unlabeled data. In this regard, it is common practice to create a synthetic labeled training dataset, followed by testing on unlabeled real data. Unfortunately, such procedure may fail due to the existing gap between the synthetic and the real distribution since quite often synthetic data oversimplifies...

... elasticity theory including four perform numerical modelling in a simplified bridge pier elastic constants. Graff and Pao (Graff and Pao, 1967) model that we built, and the results are compared with the studied the wave propagation theory in an elastic half-space. real data when high-speed train passed...

... and amplitude fidelity over a single iteration LSRTM. The tests also help to guide the expectation for the real data results in terms of resolution and amplitude interpretability. The application of LSRTM to real data delineates a credible time-lapse signal within the resolution limitations of the acquisition...

... the applicability by numerical experience with real data set. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Time: 10:35 AM Location: 225B Presentation Type: Oral shin seismic data real data velocity model upstream oil & gas real seismogram waveform...

... fault probability outperforms coherence technology. prediction saudi arabia government discontinuity seismic image real data upstream oil & gas research center fault probability classification calculation neural network coherence machine learning interpreter reservoir...

.... Inversion results are presented in this paper for both synthetic and real cases of buried pipes. For the case of synthetic data, the structure of soil permittivity, the location, depth and the diameter of a pipe have been considered as unknowns. For the case of real data, parameters of the source wavelet...

... AVA coupling in the pre-stack domain to broaden the spectra of all traces in each angle gather simultaneously and in an AVA preserving manner. Using synthetic and real data we show that the characteristics of all AVA classes are preserved and that the spectra of all angles are enhanced and better...

... to noise and higher rate of convergence. However, it has greater runtime than the other methods. Finally, the method is applied to real data of an offshore oil reservoir to discover low-frequency anomalies and the results are compared with short time Fourier transform (STFT). Presentation Date: Tuesday...

... reflection coefficient joint inversion inversion result poisson ratio inversion annual meeting seg seg international exposition equation information reservoir characterization bayes theorem interpolation artificial intelligence interpolation method upstream oil & gas real data initial...

... parameter china university real data evolutionary algorithm pre-stack seismic stochastic inversion vertical resolution information simulation Summary It is well proven that stochastic inversion often results in better vertical resolution than deterministic inversion by making better use...

... modeling travasso upstream oil & gas sacchi naghizadeh seismic trace interpolation ssa gpr data reservoir characterization oropeza alberta interpolation university real data singular spectrum analysis algorithm mauricio sacchi radar reconstruction decimation geophysics...

... al., 2013). upstream oil & gas annual international meeting modeling real data source effort imaging node velocity model reservoir characterization atlantis ocean bottom node acquisition design acquisition design node areal contribution map atlantis field additional node...

... fwi update reservoir characterization initial sediment model inversion geophysics perturbation iterative fwi workflow sediment velocity update salt flood model workflow velocity update waveform inversion iteration real data upstream oil & gas velocity model initial model...

... the model obtained from the joint inversion to 7 Hz. The inversions are essentially phase only since the amplitude of the synthetic data is scaled to match the real data. Density effects can propagate into the velocity update, but comparisons between migrated images show this effect to be minimal (Zhu et al...