... simulation are generated using geostatistical techniques. enhanced recovery back transformation porosity reservoir property net cell simulation chv permeability geological modeling ranking measure realization connectivity well location sagd reservoir characterization csor performance...

... modeling flow simulation heterogeneity estimation porosity facies core photograph reservoir characterization fluid dynamics artificial intelligence geological modeling mudstone realization effective permeability variation vertical permeability simulation PAPER 2009-102 Estimation...

... Abstract A reliable reservoir geological model serves as the basis for reservoir simulation and production prediction. The accuracy of the reservoir geological model can be significantly improved by incorporating all available data, including the static data and the dynamic data. Traditionally...

... deviation variogram reproduction cdf sequential gaussian simulation high value gaussian distribution linear distribution upstream oil & gas bootstrap minor direction variogram range geological modeling geologic modeling reservoir simulation quantile function reserves evaluation uniform...

... in this research is based on the merging of mps inferred from history matched and geological models. Pattern growth is performed subsequently by sampling from the merged mp histograms. History matched models using the presented approach show an excellent agreement with underlying geological descriptions and match...

... of the expensive simulation cost, the geological model uncertainty cannot be exhaustively computed. A new method called experimental designed probability perturbation method is proposed in this paper. The multiple goals of this work includes 1) Mitigate modeling uncertainty by integrating dynamic data; 2) Ranking...

... artificial intelligence geological modeling geologic modeling realization PETROLEUM SOCIETY CANADIAN INSTITUTE OF MINING, METALLURGY & PETROLEUM PAPER 2007-100 Geostatistic Modelling and Flow Simulation of a Mixed-Influenced Deltaic Reservoir H. TANG, F. WANG, B. KURNIANWAN Louisiana State University...

... with sparse well control – local fluctuations above and below average cancel out and the realizations imply a very small uncertainty. Accounting for uncertainty in the parameters is very important for a realistic assessment of uncertainty. finite domain approach hpv geologic modeling thickness...

..., and fluid saturations is and will remain unknown. Geological uncertainty is an inherent characteristic of any geological model. Numerical modeling techniques such as geostatistics can be used to quantify uncertainty in the geological model through the construction of multiple equally probable realizations...

... p geological modeling Reservoir Characterization Upstream Oil & Gas transfer function geologic modeling Modeling & Simulation Alberta oilsand best practice reservoir characterization data collection geological uncertainty production uncertainty mining mclennan workflow...

... probability values (a "P-field") and then simultaneously draw the variable of interest at multiplelocations. The LU decomposition is used to account for the multivariate correlations at each location. net pay thickness oip geological modeling porosity correlation saturation simulated value...

... secondary data spatial correlation bayesian inference artificial intelligence multivariate gaussian model study area assumption likelihood distribution production variable gaussian geologic modeling information geological modeling reservoir performance variance hand side PETROLEUM SOCIETY...

... Abstract Today, horizontal well technology is the viable option for draining complex geological reservoirs. Geological modeling allows proper placement of the wells, especially in thin reservoir targets, complicated by spatial stratigraphy variation and structural complexity. The model...

... resistivity and darker colors indicate lower resistivity using a histogram technique. mudstone synthetic resistivity variogram separation distance geological modeling heterogeneity variability accretion variogram model deposit modeling & simulation input distribution log data...

..." permeability a procedure reservoir model geological modeling reservoir permeability field iteration information secondary data markov chain machine learning probability upstream oil & gas permeability histogram probability distribution reservoir simulation realization entropy...

...) (Available in full paper) Equation (2) (Available in full paper) characteristic geologic modeling production data artificial intelligence optimization problem geological modeling realization reservoir simulation dynamic data integration procedure different region objective function...

... objective function geological modeling variogram optimization problem hydraulic fracturing orientation upstream oil & gas assumption multi-histogram mean reservoir characterization fracture density variance fracture statistics complex reservoir artificial intelligence optimization method...

... with results to be discussed. reservoir model dynamic data optimization problem integration algorithm permeability map geological modeling gradient inverse problem artificial intelligence geologic modeling upstream oil & gas reservoir characterization optimization algorithm reservoir...

... and the model parameters in order to expedite convergence of the optimization process. iteration realization artificial intelligence production data reservoir simulation reservoir model permeability value objective function connectivity function geological modeling algorithm indicator...

... modelling of different volumes with block kriging. shale flow in porous media power law averaging permeability average linearly geologic modeling averaging log data permeability value power law continuity anisotropy ratio effective permeability geological modeling transformation fluid...