... characterization approximation novel prestack basic pursuit upstream oil & gas applied geoscience exploration geophysicist 10 fatti approximation elastic parameter constraint correlation inversion prestack inversion objective function prestack basic pursuit inversion sinopec petroleum exploration...

... the objective function, which represents for geothermal energy development (e.g., Jones et al., 1995) possible event location and origin time. We additionally use among many other applications. Most of the time, a single the polarization information from the 3C geophone of the monitoring array deployed downhole...

... Computational inefficiency in numerical modeling is not unconnected to the inherent dispersion error. Previous efforts have succeeded in establishing a trade-off between accuracy and efficiency. However, we have optimized the dispersion objective function, in the frequency domain, for a tri...

..., in the real world, the objective function of optimization scheme could be non-differentiable. A non-differentiable objective function makes the conventional gradient-based optimization algorithms unfeasible; therefore, we propose to use the primaldual algorithm for solving non-differentiable geophysical...

... anisotropic- which to compute medium property FWI updates, given a non viscoelastic setting. With these extensions the relevance of self-adjoint wave operator, and when the objective function is the RNN grows signi cantly, because in such environments, not analytically differentiable, but some experimentation...

... in a least-squares sense to update the method share similarities to those of correlation or deconvo- model for an improved match. However, the update will be lution based objective functions (van Leeuwen and Mulder, in a right way only if the predicted data are no more than half 2010; Luo and Sava, 2011...

... of the measured data, it can be known that this method can complete the intelligent identification of contaminated soil effectively. neural network applied geoscience artificial intelligence upstream oil & gas anomaly abnormal area fuzzy logic objective function category exploration...

... objective function china university full waveform inversion wavelet upstream oil & gas wavefield boundary tf-fwi normalized source time domain Time-frequency-domain full waveform inversion using a normalized source Jinwei Fang (China University of Mining and Technology, Xuzhou), Qingchen...

... artificial intelligence objective function velocity model extension reservoir characterization fwi model initial model exploration geophysicist 10 optimization problem applied geoscience full-waveform inversion fwi upstream oil & gas field data geophysics jaime ramos-martínez...

...- the developed methodology to reconstruct the localized time- ifah (2011) and Zhang et al. (2016) propose the following conv- lapse parameter variations even for a strongly distorted source olution-based source-independent FWI objective function in wavelet. The algorithm remains robust in the presence of mod...

... function composed of data misfit, neural network misfit, and a coupling model objective function that links the two inversion schemes through a reference model. We investigate two strategies to update the reference model in the coupling model objective function using either a fully-trained network...

... to honor the zero-offset two-way-time seismic invariant and keep the short-spread reflections in phase. By combining a pseudotime approach with a graph-space optimal transport objective function, we show that it is possible to reconstruct a complex velocity macromodel from short offset 2D reflection data...

... We developed a viscoelastic waveform inversion (VWI) method to invert 1D P-wave velocity and attenuation ( Q ) models and source parameters using zero-offset vertical seismic profile (VSP) data. The method employs a ray-based waveform computation and combines objective functions of time...

... models (Bertete-Aguirre et al., 2002). Geophysical inversion problems have inherent ambiguity In practice, the application of different regularizations that requires regularization terms in the objective function to requires different formulations and implementations; a add prior information...

... objective function (Taran- approximate minimization of the inversion objective function. Assess- tola, 2005). Because exact evaluation of the posterior covariance re- ing the uncertainty these factors introduce can be dif cult, due to the quires the storage and inversion of Hessian-sized matrices, some form...

...: 11:00 AM Location: 351D Presentation Type: Oral reservoir characterization frequency selection relaxation optimization problem objective function waveform inversion artificial intelligence constraint conventional fwi wri upstream oil & gas initial model wavefield inversion...

... Joint-inversion refers to a coupled inversion approach where a common objective function is iteratively minimized and models are perturbed concurrently. Such an objective function is constructed by including individual data misfits and some measure of coupling between the models...

... at the 2020 SEG Annual Meeting. reservoir characterization objective function cluster center upstream oil & gas constraint cluster center machine learning fcm physical property fcm algorithm fuzzy c-mean inversed result geophysics magnetization artificial intelligence priori...

... Presentation Time: 2:15 PM Location: 362A Presentation Type: Oral optimization problem iteration exploration geophysicist 10 machine learning upstream oil & gas velocity model seg international exposition reservoir characterization objective function geophysics perturbation artificial...

... Presentation Type: Oral reservoir characterization upstream oil & gas subsurface experiment well logging knight sensitivity log analysis constraint joint inversion iteration conductivity seg international exposition geophysics inversion artificial intelligence objective function data...