... a machine-learning (ML) proxy model, which reproduces the behavior of a reservoir simulator and results in significant speedup compared to running the numerical simulator. Initially, we generate an ensemble of realizations via the reservoir simulator to train the different ML algorithms. The data set...

... regression realization petroleum technology conference reservoir simulation contamination psat pvt experiment viscosity delineating Introduction Data from analogue fields or high-quality seismic data can provide some indication on the possible presence and size of a gas cap, but additional...

... uncertainty parameters that impact Hydrocarbon volume in place and dynamic uncertainty parameters that impact cumulative hydrocarbon production, including the LGR (extension and permeability). Statistical maps on 100 different geological realizations calculated on mobile hydrocarbon column and permeability...

... properties but do not provide quantitative estimates of the subsurface uncertainties. The objective of this study was to carry out a facies dependent geostatistical seismic inversion to generate multi-realization reservoir properties to improve the geological understanding of the two adjacent offshore fields...

... equation of state europe government enhanced recovery risk management climate change co2 forecast reservoir characterization latin hypercube injection tubing correlation reservoir simulation netherlands government chemical flooding methods diameter permeability realization discrete tubing...

..., and integration of all available geological and dynamic data, such as injector-producer connections. A set of alternative realizations ("ensemble") needs to be created representing all the relevant uncertainties. Ensemble Screening is necessary to eliminate the non-PDA compliant realizations; comparing...

... of such checks. stationarity reservoir characterization stationarity hypothesis consideration netherlands government geostatistical simulation information upstream oil & gas modeling variance interpolation geological modeling dataset applicability europe government realization...

... way to making this process more understandable and easier to implement. Upstream Oil & Gas olympus challenge ensemble reservoir simulation stochastic dominance uncertainty realization optimization problem pragmatic approach development scenario optimisation realization realisation...

... exploration Upstream Oil & Gas ayashsky license area saturation stoiip distribution oil field coefficient estimation deposit geologic modeling structural geology heterogeneity dynamic modeling approach hydrodynamic connectivity society of petroleum engineers realization fast-track project...

... Production Configuration algorithm enhanced recovery waterflooding artificial neural network sharpe ratio Guérillot guérillot realization society of petroleum engineers bruyelle production strategy Standard Deviation Introduction Many papers are proposing to optimize the waterflooding...

... as an initial step prior to a more elaborate saturation mapping. The additional insight also has its own merits when analyzing simulation results of multiple realizations and/or development scenario. Bypassing and Fingering Indicators: Derivation Let us divide the reservoir into three sections: fully...

... with a reduced subset of model scenarios. Methods based on heuristics and ad-hoc rules exist to select this reduced subset. However, in most of the cases, the optimal number of model realizations must be known upfront. Excessively small number of realizations may result in a subset that does not always capture...

... Abstract Standard approaches to optimization under uncertainty in reservoir simulation require use of multiple realizations, with variable parameters representing operational constraints and actions as well as uncertain scenarios. We will show how appropriate use of local optimization within...

... of the model in combination with a lease boundary. (When coupled with dynamic simulation, observables like ultimate recovery, break-through timing, etc. could also be obtained). As thousands of realizations were run concurrently, run time was reduced from weeks to hours. Results reveal the distribution...

... explore parameter space combined with the least squares single objective function. The process of AHM can adopt parameterization and realization methods to reduce inverse problems. In this study, realizations of various reservoir properties such as porosity, net to gross, relative permeability, horizontal...

... by areas. This strategy guaranteed unchanged well data conditioning on all final realizations. geologic modeling reservoir simulation information Reservoir Characterization Upstream Oil & Gas facies distribution facies facies type vector final realization geological modeling history...

...-scaled sector model was built for a focused area of the field with substantial remaining opportunity. Multiple static realizations were used to represent different reservoir connectivity that can be highly influential on the ultimate recovery, especially for iWAG injection. Along with these multi-static...

.... reservoir simulation information production data procedure Upstream Oil & Gas barros multiple production measurement history matching optimization time-lapse seismic survey seismic survey water front realization Artificial Intelligence leeuwenburgh observation time workflow ensemble...

..., which is a heavy oil reservoir characterized by line-drive waterflood patterns with horizontal wells. We first evaluated different control strategies assuming perfect knowledge of model parameters (nominal optimization). Then, an ensemble of updated model realizations was included within...

... for a real clastic reservoir. Reservoir Characterization random field vector realization modeling boundary condition elevation Upstream Oil & Gas structural uncertainty nonstationary model geocellular model partial differential equation integration seismic surface society of petroleum...