... the application to a full-field simulation model where more than one hundred faults were interpreted based on the seismic data, to evaluate the CO 2 breakthrough risk to up-dip gas producers. The simulation results show that the injected CO 2 preferably migrates along conductive faults. leading to the earlier...

...-wing multistage fractures at a field scale, Machine Learning (ML) proxies of the dynamic simulation models were the innovative technologies utilized to make the uncertainty workflow practical and affordable. The ML proxies were used to screen and rank uncertain parameters and generate posterior...

... during history match are demonstrated. This new approach provides the reservoir engineer with direct visibility of and control over geological fault rock properties in simulation models. This constrains the calibration of fault rock properties within a sensible uncertainty range, allows the grid...

... to directly compare operating scenarios. As before, a simple reservoir model was used: Abstract Design, evaluation and approval of a field development plan is generally very iterative, requiring meetings, design and execution of simulation models, then financial reviews, back to updating and running...

... Abstract This paper presents an automated method to speed-up the process of history-matching simulation models. A new tool "History Match Process Optimizer– HMPO" was developed to allow local modification of simulation model property arrays around any given well type. Deployment of this tool...

... Abstract Despite intelligent method such as numerical simulation model has been used, identifying areas or zones that still holding high potential of production still becomes the most challenging aspect in the development of mature carbonate oil field with high water-cut; especially coupled...

.... The workflow comprehensively integrates reservoir surveillance tools such as Production Logging Tools (PLTs) to perform a zonal decline analysis through analytical approach. The numerical simulation modeling is utilized to support this assessment. The paper describes a method of capitalizing the flowmeter...

... and RSM to well optimization in a real existing field, considering all possible scenarios and variables. Artificial Intelligence field development optimization and planning simulation model simulation run enhanced recovery experimental design optimization problem factorial design Umiat field...

... give practical infill well locations for the target field. Artificial Intelligence Upstream Oil & Gas asset and portfolio management optimization problem infill well location integrated asset modeling reservoir simulation simulation model flowline optimization Surface Network Model...

... be easily implemented in sink/source terms (or "fictitious well" term), which are readily available for most commercial reservoir flow models. With this simple implementation, virtually any existing commercial reservoir simulation models can account for geomechanical effects via modular coupling techniques...

... Modeling & Simulation reservoir simulation Upstream Oil & Gas complex reservoir optimum production strategy simulation model water influx ultimate recovery recovery well mt-c gas condensate reservoir gas-condensate reservoir aquifer size flow in porous media Fluid Dynamics field...

..., namely: the choice of ICD technology that is most suitable for the particular well; the process of building a custom ICD performance model and import into the reservoir simulator; considerations in setting up the simulation model; and, verification of the results. The paper highlights the risk of using...

... to history match the performance of each invidual segment of the entire field so that the model can be assured of its efficacy and deliverability. Advantage of IAM model is its simplicity and utility particularly in case of a dry gas field where full field simulation model has many challenges like...

... calculation Reservoir Surveillance Upstream Oil & Gas simulation model envelope mmscfd production control production logging flowline Simulation Output production system maximum pressure Scenario flowrate psig model accuracy factor Modeling & Simulation drillstem/well testing...

... enhanced recovery concentration residual oil saturation Injection Rate surfactant concentration chemical flooding methods injector 5-spot pattern saturation injection Modeling & Simulation simulation model producer reference case reservoir oil saturation ASP slug inverted 5-spot...

... of uncertainty that must be properly and accurately quantified to minimise investment risk. asset and portfolio management Modeling & Simulation Upstream Oil & Gas reservoir simulation model field development optimization and planning Wheatstone production network model workflow equation...

... results are provided. Reservoir Surveillance production monitoring tight gas information Material Balance time plot SRV Modeling & Simulation Upstream Oil & Gas History OGIP reservoir simulation production control shale gas simulation model tight gas reservoir complex...

... & Gas multiplier convergence uncertainty quantification reservoir model differential evolution algorithm Gaussian process society of petroleum engineers probability posterior distribution GP model simulation model Introduction In making business plans for development of oil and gas...

...) sidetracks combining either shallow or deep targets were passed on to the reservoir engineering team for optimisation from simulation models and first-pass estimation of oil incremental reserves. Reservoir simulation focuses on optimising target intervals as determined through G&G work and drilling...

... helpful to tune PVT models. Upstream Oil & Gas composition DST PVT measurement gas cap partial dataset representative pvt property experiment compositional gradient experiment PSAT EOS model interpretation Modeling & Simulation simulation model workflow cce data reservoir...