... enhanced recovery petroleum engineer observation data simulation case fast history matching journal connection group simulation model well point Introduction Insights and predictions from reservoir simulation models have often been used to assist reservoir management and decision making...

... modeling enhanced recovery geological subdiscipline journal pareto-front engineering deep learning assisted multi-objective optimization vertical displacement onepetro safety factor injection rate minimum safety factor geomechanical risk simulation model injection schedule surrogate model...

...) representative geostatistical realizations (RGR) under geological uncertainties (Workflow A), and (2) representative (simulation) models (RM) under the combination of geological and reservoir (dynamic) uncertainties (Workflow B). In both workflows, an existing RS selection technique was used by measuring...

... 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 and subsequently used for production forecast. The model has been validated in space and time. The AI and Machine Learning technology that was used...

... monitoring reservoir geomechanics flow in porous media reservoir simulation drillstem/well testing simulation model fine migration ipdm reservoir surveillance hydraulic fracturing upstream oil & gas completion installation and operations wellbore design fluid dynamics regression testing...

... 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...

... 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...

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

... Assisted History Match (4DAHM) workflows utilize interpretations of 4D seismic anomalies for improving the reservoir simulation models. Design of Experiments (DOE) is initially used to generate the probabilistic history match simulations by varying the range of uncertain parameters. Saturation maps...

... of Mexico machine learning modeling Upstream Oil & Gas US government simulation model flow rate Artificial Intelligence numerical reservoir simulation model Simulation contribution smart proxy model Pearl Mohaghegh University smart proxy modeling numerical simulation model...

... Alfi et al. (2014) and Alfi et al. (2015) investigated multi-phase flow of hydrocarbons in liquids-rich shale reservoirs by means of a micrometer scale simulation model. Three phases (gas, oil, and water) and three pseudo-components (gas, oil, and water) formed the basis of their models...

... The dynamic performance of GLVs for single-phase gas flow has been extensively investigated in the last three decades, and reliable test procedures and simulation models are available in the literature ( Pittman, 1982 ; Winkler & Camp, 1987 ; Decker, 1993 ; Hepguler et al ., 1993 ; Hall...

... is geomechanics perspective. The production perspective uses reservoir simulation models, production data analysis. After performing history match, the model was run with different clusters and fracture stages, and production forecasts were developed. On the other hand, many researchers mentioned that accurate...

... Characterization gas production simulation model Wattenberg field Denver Basin Colorado Niobrara Formation fracture system fracture Modeling & Simulation study area Sonnenberg gas saturation distribution gas saturation Colorado School chalk horizontal well permeability Introduction...

... 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...

...) an increased or scattered NQDS. Abstract History matching (HM) is a complex 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...

... signal can be associated with changingsubsurfaceelastic properties induced by the field production operations during the time lapse between the two surveys. In this case, 4D Seismic can be exploited to improve the subsurface characterization of reservoir flow simulation models applied for reservoir...

... 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...

... with better predictive value for production optimization and forecasting. complex reservoir Artificial Intelligence history matching lower reservoir machine learning reservoir simulation lyngra application reservoir Scenario simulation model workflow ensemble Kalman filter carbonate...