... covariance matrix algorithm 4 Artificial Intelligence Upstream Oil & Gas error model model parameter algorithm 1 physical model parameter production rate posterior prediction estimation Introduction Subsurface reservoir modeling contains various approximations including: grid coarsening...

... involve. enhanced recovery waterflooding stochastic gradient adjoint gradient Artificial Intelligence Upstream Oil & Gas optimal control production rate optimization problem constraint control variable Reynolds machine learning reservoir simulation approximation state constraint...

... good forecast history match period History Match base case Water Breakthrough Time good history match breakthrough time reservoir simulation case water breakthrough time forecast period production rate heterogeneity forecast Introduction The dynamic process of reservoir management...

... compositional simulator polymer production rate microemulsion phase chase water equation modeling salinity gradient asp activity map Introduction ASP is an important chemical EOR process where the alkali is injected to react with the acid component in the oil to produce in-situ surfactant (soap...

... step. Severe numerical instabilities are observed when the thermodynamic approach is used as a hard constraint. A new constraint based on the total production rate at reservoir condition is introduced. Details of mathematical formulation and the numerical behavior of the new method are discussed...

... Artificial Intelligence Upstream Oil & Gas two-level mcmc method Markov chain algorithm model parameter Reynolds production rate machine learning history matching target PDF water production rate MCMC algorithm characterization posterior PDF McMC method normalized objective function value...

... interpretation of data. Time shifts from daily seismic surveys improved production predictions. Artificial Intelligence time shift regression Upstream Oil & Gas production rate Lasso random forest seismic image Predict Production society of petroleum engineers field measurement prediction...

... with that of CRM. Finally, INSIM-FT is applied to a field case. machine learning reservoir simulation Artificial Intelligence history matching compressibility flow rate flow in porous media Upstream Oil & Gas water saturation producer oil production rate CRM Interwell Connectivity saturation...

... rate Upstream Oil & Gas koval approach producer total production Modeling & Simulation drillstem/well testing prediction injection contribution fractional flow model CRM model oil production rate heterogeneity equation saturation Introduction The Koval model (1963...

.... Agreement is sought in injection and production rates (for specified well BHPs), breakthrough time of the injected fluid, and locally-averaged pressure, saturation and molar fractions. Our approach entails the use of global compositional simulation, plus an initial global single-phase flow computation...

... fine-scale reaction rate application porosity reaction rate heater power Multiscale Method Upstream Oil & Gas coarse-scale model production rate reservoir simulation kerogen reaction rate multiscale model grid permeability heater well thermal conductivity saturation equation...

... simulation modeling and production estimation methods, which are designed for fluid-flow processes dominated by viscous forces, may not be reliable to predict the reservoir production rate. We present a pore-based mechanistic model (the Bundle of Dual-Tube Model, BoDTM), which includes complex gas dynamics...

... to an injector. Therefore, the inversion results are not robust to changes in operational strategy; (3) The predictive ability of such models is relatively poor as they can output only a total liquid production rate but cannot predict water cut or individual phase rates. Thus, one cannot use such a model...

... production of the real field, as well as a standard optimization procedure with a fixed set of well controls and a successive splitting procedure. enhanced recovery waterflooding life-cycle production optimization optimization production rate Injection Rate optimization problem Upstream Oil...

... Characterization Upstream Oil & Gas machine learning history matching random field geologic modeling Artificial Intelligence standard enkf parameterization subspace EnKF pca parameterization water production rate spe 163604 geological modeling reservoir simulation ensemble member variance...

... at a separator under a pressure control, or the pressure drop across the well tubing is dominant in the pipeline network. A performance curve (oil or liquid production rate vs. gas-lift rate or total gas rate) for each well can be constructed, and the optimal gas-lift rate allocation can be found using some form...

... using the multi-segment well approach is practicable for the simulation of hydrocarbon recovery processes. sagd injector dual heel enhanced recovery reservoir simulation single heel thermal method steam-assisted gravity drainage constraint producer heterogeneous model production rate...

... production rate matrix Introduction Compositional flow simulation is used to design and manage Enhanced Oil Recovery (EOR) processes, and there is growing interest in using compositional modeling for subsurface sequestration of CO 2 . Compositional simulators usually employ the assumption...

... simulation numerical simulator Upstream Oil & Gas controller simulation grid ziegler-nichol method derivative term controller output average temperature time-step size fuzzy logic Feedback Controller control variable simulator application production rate PI controller defuzzification...

... of the solution. Abstract In reservoir history matching or data assimilation, dynamic data such as production rates and pressures are used to constrain reservoir models and to update model parameters. As such, even if under certain conceptualization the model parameters do not vary with time, the estimate...