... 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...

... 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...

... physical that require more modeling realizations. time. The resulting FWI objective function enables the solution of two parameters, velocity model and time- We introduce a novel method that minimizes the data fitting warping extension, in a single optimization problem, which between the synthetic...

...- 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...

... 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...

... 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...

... 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...

... reservoir characterization intermediate data applied geoscience optimization problem tarantola artificial intelligence objective function convergence point surrogate data objective waveform inversion iteration upstream oil & gas interpolation wavefield geophysics inversion...

... optimization problem objective function initial velocity upstream oil & gas angle gather inverted velocity seg international exposition reservoir characterization wemva calculation geophysics inversion gradient misfit function optimal transport artificial intelligence syme...

... for seismic inversion. Presentation Date: Wednesday, October 14, 2020 Session Start Time: 1:50 PM Presentation Time: 1:50 PM Location: Poster Station 3 Presentation Type: Poster artificial intelligence gradient evaluation linear combination reservoir characterization objective function seismic...

... presented. Synthetic data results prove the correctness and effectiveness of the method. Presentation Date: Wednesday, October 14, 2020 Session Start Time: 9:20 AM Presentation Time: 9:45 AM Location: Poster Station 4 Presentation Type: Poster reservoir characterization objective function shear...

... Presentation Type: Oral reservoir characterization orientation subsurface secondary magnetic field inversion artificial intelligence objective function tdem survey magnetic field transmitter perpendicular dipole background receiver seg international exposition conductive body upstream oil...

... Station 3 Presentation Type: Poster production monitoring upstream oil & gas production control production logging reservoir surveillance acoustic sensing sensitivity objective function geophysics fiber geometry fiber period fiber reservoir characterization artificial intelligence...