... robust strategies; The computational time and the number of flow simulation runs. Workflow A: RGR selection In Workflow A, we first build n number of simulation models under geological uncertainties in a way that each model has a unique geological realization (GR). According to Figure 2...

... these single-variable equations into historical period in order to replace actual PI multipliers in simulation models that were introduced by reservoir engineer in attempt to history match (especially flowing bottom hole pressure data) those simulation models, it has been observed that these equations...

... oil, gas and water for decades. The objective of this article is to demonstrate how Artificial Intelligence (AI) and Machine Learning is used to build a purely data-driven reservoir simulation model that successfully history match all the dynamic variables for all the wells in this field...

... samples based on lab adjustments along with saturation pressure and reservoir pressure comparison and apply the compositional gradient approach on the most representative dataset. Finally, a common EOS model for the field was developed, tuned, and validated through quality checks by a simulation model...

... properties were then utilized as the inputs for a reservoir simulation model in order to predict the production performance. Laboratory measurements and published studies on Marcellus shale core plugs provided the foundation for evaluating the impact of net stress on the matrix and fissure permeabilities...

... incremental economic recovery which otherwise could not have been recovered through ongoing WAG operations. Modeling & Simulation oil field Upstream Oil & Gas co 2 hydraulic fracturing simulation model enhanced recovery orientation History production rate injection permeability...

... introduce a workflow for modeling of fault reactivation with fault elements as gridblocks instead of surfaces. Reservoir simulation, with coupled fluid flow and geomechanics, was used for this purpose. The simulation models utilize a geomechanical module to capture elasto-plasticity and a compositional...

... Modeling & Simulation seismic data information probabilistic simulation interpretation Reservoir Characterization history matching simulation model machine learning reservoir simulation Simulation reservoir simulation model spe annual technical conference integration...

... of the original numerical simulation models. Smart Proxy modeling was implemented by many of PEARL's scholars for their Ph.D. dissertations. Execution of the Smart Proxy models takes from fractions of a second to few minutes on a PC workstation (laptop) to accurately replicate detail results of high fidelity...

.... The type of 3D simulation model for multi-porosity liquids-rich shale reservoirs developed in this paper is not currently available in the literature. The approach implemented in this work provides a novel and important foundation for simulating complex shale reservoirs. shale gas adsorption...

... hydraulic fracture and reservoir models were used to optimize the cluster spacing and other completion parameters. Modeling & Simulation drilling operation cluster efficiency perforation cluster reservoir geomechanics Directional Drilling simulation model quality index Completion...

... Survey Colorado School chalk horizontal well gas production Niobrara Formation fracture system fracture study area Sonnenberg gas saturation distribution gas saturation Upstream Oil & Gas simulation model Wattenberg field Denver Basin Colorado permeability Introduction...

... requirement in more than 50% when compared to the conventional single-point gas injection. The simulation model is shown to be a useful tool to perform system analysis and optimization of LAGL. Reservoir Surveillance Upstream Oil & Gas flow rate artificial lift system Modeling & Simulation...

... Abstract This paper presents an innovative method for inclusion of two-phase fault rock properties into upscaled flow simulation models. Faults are generally represented in conventional full-field flow simulation models of clastic reservoirs as 2D planar surfaces. Often, however, faults...

... geological and simulation models that accounted for our understanding of Wara geology and were consistent with the large volumes of surveillance data. A major challenge was the choice of an appropriate area for the part field model. This was chosen so as to allow water influx into the area of interest over...

... present a workflow for incorporating time-lapse seismic into reservoir flow simulation models using a 3D high resolution streamline-based dynamic data integration procedure along with a data-driven 4D seismic inversion approach that generates map-based estimations of the change of reservoir pressure...

... process that aims to increase the reliability of reservoir simulation models. HM is an inverse problem with multiple solutions that calls for a probabilistic approach. When observed data are integrated with sampling methods, uncertainty can be reduced by updating the probability density function ( pdf...

... reservoir multiple data assimilation uncertainty quantification data assimilation machine learning reservoir simulation simulation model workflow ensemble Kalman filter Scenario objective function carbonate reservoir lower reservoir ensemble smoother minimization assimilation Introduction...

... (DFN) models are now becoming an industry practice to model fractures in naturally fractured reservoirs. However, incorporating these fractures in simulation model has always been a challenge. In all previous approaches, explicit representation of fractures has been either in 2D (assuming vertical...

... wells is a very important step to build a reliable reservoir simulation model for business needs. This paper presents a new method/workflow for modeling effective permeability of a naturally fractured carbonate reservoir from seismic attributes. The new method directly converts fracture textures...