... situations approximated models might not be perceived as acceptable solutions because they may not be fully consistent with the statistics (e.g., histogram, variogram, etc.) of the model defined by a geoscientist. An added drawback of this approach is the time and effort necessary to carry out an ad-hoc HM...

... Artificial Intelligence Reservoir Characterization application deep learning model cross section deep learning information algorithm variogram neural information processing system deep learning neural network estimation reservoir reservoir characterization geologic modeling Upstream Oil...

... plane. The uncertainty for a fault surface is bounded by a volume enclosing the fault surface. The smoothness of the simulated fault surfaces is controlled by variograms. The simulation is done by adding a simulated Gaussian residual. Well conditioning is done by kriging. Using the described method we...

... applications in 3D reservoir modeling. For example, although variogram is a relatively good quantitative measure of geologic object size, it does not carry information about the spatial positions of the geologic objects ( Ma 2008b ), yet it is well known that the spatial positions of facies bodies and flow...

... Intelligence criteria uncertainty distribution histogram realization PHIT variogram definition criteria probability geological modeling Upstream Oil & Gas Simulation Location map lithofacies cluster analysis reservoir model vertical variogram Introduction The work for investigating...

... geologic modeling Modeling & Simulation Upstream Oil & Gas heterogeneity connectivity model geological modeling trend map workflow fluid flow shallow marine reservoir geometry stratified model variogram Reservoir Characterization rpd 0 facies sensitivity connectivity...

... stochastic method conditioned to a variogram, even if that variogram is generated from a channel-shaped reservoir properties distribution. Instead, we always get a realization with Gaussian statistics which looks far from channel shapes, even though the multi-Gaussian model or any other variogram-based model...

... secondary data reservoir simulation Thickness secondary variable well data conditional distribution OOIP net continuous bitumen variogram realization McMurray Formation calculation correlation matrix correlation coefficient sagd ooip assessment spe 102094 uncertainty enhanced recovery...

... million cells, 1-ft. layers). SGS was also used as co-simulation for permeability, coupled with vertical and horizontal variograms honoring the appropriate facies proportion in each layer.The static model was upscaled (to 600,000 cells, 6-ft layers) after correlating the lithofacies from well to well...

... distribution realization variance porosity distribution reservoir characterization information porosity variogram permeability enhancement carbonate reservoir geological modeling machine learning seismic data layer permeability artificial intelligence correlation flow in porous media fluid...

... intelligence history matching variogram machine learning geological modeling geologic modeling reservoir simulation wavelet coefficient stanford university variance constraint objective function information upstream oil & gas reservoir characterization production data reservoir model...

... distribution fddf fracture density distribution function variogram hydraulic fracturing modeling validation spe 90342 dfn modeling discrete fracture network model numerical experiment clustering validate distribution Introduction Japex has drilled totally 14 wells in the Yufutsu oil/gas...

... of this methodology to a real data set is presented. The geological environment of the reservoir is a mixed carbonate platform. Porosities are simulated at a fine scale constrained by a 3D impedance cube. upstream oil & gas geologic modeling resolution spectrum geological modeling variogram cube well...

... variogram upstream oil & gas vsh 0 sandstone well data sequence interval subsequence artificial intelligence correlation reservoir characterization deposit turbidite porosity probability tajin geological modeling subsequence interval tajin field sh distribution seismic data...

..., and for optimizing future drilling locations. prediction lateral resolution porosity sinopec society of petroleum engineers upstream oil & gas permeability gujiazhi field log data geological modeling inversion artificial intelligence spe 84055 variogram interpretation sand distribution...

...' statistics. Then, we perform a statistical analysis on fracture properties to identify density functions and distribution patterns. The essential feature of this approach is the formulation of the objective function. Various variogram measurements, modified multi histograms and other statistical properties...

... flow performance modeling & simulation method 1 oil recovery watercut parasequence geologic modeling stratification modeling parameter porosity water breakthrough water cut reservoir breakthrough time upstream oil & gas continuity variogram breakthrough geological...

... properties do not average linearly after Gaussian transformation; averaging is required because each grid block potentially has a different volume. Second, volume averaged variogram or covariance values are required between two arbitrary blocks v 1 ( u ) and v 2 ( u’ ). These must be calculated quickly...

... and apply it to an actual, prominent reservoir. Traditional geostatistics relies upon a variogram to describe geologic continuity. However, a variogram, which is a two-point measure of spatial variability, cannot describe realistic, curvilinear or geometrically complex patterns. Multiple-point geostatistics...

... spatial distribution variogram spe 77741 derivative curve narrow aperture productivity cumulative frequency fluid dynamics electrical borehole image fracture network model upstream oil & gas wide aperture reservoir characterization family-1 matsuura equation of state orientation...