... inversion american association deterministic inversion upstream oil & gas machine learning exploration geophysicist impedance energy 10 inversion stochastic inversion multi-seed stochastic inversion vincent thomas correlation coefficient Reservoir characterization using multi-seed...

... exploration geophysicist inversion information international neural network machine learning variational autoencoder implicit geological information american association application geological information physics energy 10 artificial intelligence deterministic inversion geologic information...

... models when applied to synthetic MT data. upstream oil & gas resistivity model deterministic inversion artificial intelligence applied geoscience exploration geophysicist 10 machine learning objective function iteration neural network training data application algorithm standard...

... A spectral method for performing stochastic inversion through the integration of deterministic inversion with the stochastic process is presented. The result is equivalent to the Stochastic Inversion in terms of resolution, it matches the seismic data, and it enables uncertainly estimation via...

... reservoir characterization realization raudhatain field lithotype seg international exposition annual meeting azimuth seismic data statistical analysis deterministic inversion proportion mauddud formation prospectivity Al-Eiden , A. J. , W. B. , Wethington , and R. B...

... Accounting for bias and uncertainty in facies estimations from deterministic inversions John V. Pendrel*, Henk J. Schouten, Raphaël Bornard, CGG Summary Bayesian inference procedures can be used as interpretation tools for seismic inversions. The results are facies and their probabilities...

... channel core. Vertical resolution, reservoir quality, distribution and continuity of the channel feature are the main risks. A geostatistical inversion guided by rock physics modeling and deterministic inversion has been conducted to improve resolution, analyze the rock character and deliver probabilistic...

... about how to do this and often uncomfortable with the result. We will demonstrate by example, a joint deterministic inversion facies estimation procedure which makes minimal prior assumptions and obviates the need for the building of a low frequency model (LFM) which interpolates log curves between...

... Simulated Annealing (SA) and is less prone to getting trapped in a local minimum. Here, we run this inversion algorithm to resolve Woodford formation in the Cana field, Oklahoma. The results are compared with those obtained by a deterministic inversion. Our results clearly demonstrate superior performance...

... are shown by comparing the results with those obtained by a deterministic inversion. Introduction Zoeppritz equations describe the amplitudes of incident, reflected and refracted plane waves at an interface as a function of incidence angle. Because this exact solution is complicated, many linearized...

... apply Metropolis sampling algorithm in order to obtain an exhaustive description of the posteriori probability density. Compared to deterministic inversion, the inversion method we proposed can integrate high-frequency information of well-logging data and have a higher resolution. According...

... result well. da 1 limestone upstream oil & gas deterministic inversion variogram porous limestone permeability seismic data reservoir characterization lithology resolution application information inversion thin limestone reservoir artificial intelligence anzhai member inversion...

... Summary We have performed a set of inversions on a thinly bedded clastic reservoir from the West of Shetland. The inversion techniques comprise a data-driven deterministic inversion (contractor), a data-driven stochastic inversion (contractor), a model-driven deterministic inversion...

... of the Ratawi limestone to enable a better drilling campaign. realization right panel porous limestone tight limestone reservoir characterization umm gudair field porosity distribution ratawi limestone deterministic inversion kuwait lithotype inversion probability upstream oil & gas...

... reservoir model conditioning ashley francis inversion resolution deterministic inversion limitation seismic inversion data upstream oil & gas low frequency model seg seg denver 2010 reservoir model seismic inversion interpolation reservoir characterization stochastic seismic...

... deterministic inversion realisation reservoir connectivity uncertainty reservoir characterization seg houston 2009 compute machine learning artificial intelligence international exposition uncertainty analysis geobody connectivity analysis facies realisation inversion stochastic...

... inversion inversion result main menu comparison low frequency model estimation probability deterministic inversion geostatistical inversion result probability density function lithology uncertainty estimate net pay geostatistical inversion upstream oil & gas artificial...

... be used for inversions and multi-attribute analysis and to determine petrophysical relationships that can be useful on seismic data interpretation. Secondly, we ran AVO analysis and deterministic inversions of the AVO attributes. The P-impedance and Simpedance volumes were used to estimate rigidity...

... Summary Deterministic and stochastic seismic inversions were performed integrating well, seismic and geologic data in the Rotliegend Gas Field, North German Basin, northwestern Germany, to build acoustic impedance models for reservoir property modeling. The deterministic inversion created...