... characterization reservoir simulation upstream oil & gas mismatch metric sandstone maxpo south region history matching simulation model simulation result reference surface realization mismatch gas thickness simulated gas thickness production data ensemble gas breakthrough variation grane...

... machine learning history matching artificial intelligence upstream oil & gas reservoir simulation structural uncertainty fault transmissibility multiplier workflow predictive grid producer ensemble realization iteration dynamic data reduction conditioning posterior ensemble grid...

... methods may be used in a fruitful way for development of improved and computationally fast well inflow estimation models. reservoir characterization well performance reservoir simulation artificial intelligence dimension upstream oil & gas computational time history matching posterior...

... experiments, confirming process efficiency and simulation studies using state-of-the-art reservoir simulation tools, laying basis for technoeconomic evaluation of the process at the field level. Experimental investigations confirmed process efficiency. Numerical simulation, monte-carlo and P10-P50-P90...

.... Abstract Rock and Fluid data provide critical input parameters for reservoir characterisation, production, and reserve forecasts. These datasets are key building blocks for reservoir simulation models, but there has been limited work in the oil industry on the standardisation of their data structures...

... generate reliable production forecast reservoir simulation inflow performance optimized number model fishbone well sub Introduction Literature review Drilling of fishbone wells is not uncommon. In many places traditional fishbone wells have been drilled and technically evaluated...

... models from months or years to hours or days. artificial intelligence modeling & simulation data conditioning upstream oil & gas reservoir characterization reservoir simulation prediction multiple scenario approach workflow reservoir modelling project data assimilation hypothesis...

...-in basic equipment models of pumps, turbines and compressors. eCalc enables a multidisciplinary team to quickly assess future scenarios involving drainage strategy, tie-ins and topside modification plans. Introduction enhanced recovery machine learning reservoir surveillance reservoir simulation...

... impairment, and c) fully open-hole crossflow without flow restrictions. A reservoir management strategy was established in 2015 to monitor zonal pressures and restrict upper zone production to minimize unwanted gas crossflow. Reservoir simulations showed that this was key to secure the oil recovery...

... to improve the subsurface understanding. Development of the thin oil column has been evaluated using detailed reservoir simulation models to determine optimal well placement and completion solutions, resulting in a well design comprising of horizontal tri-lateral wells of approximately 4000 m reservoir...

... performance improvements, which, however, is achieved at the cost of increased complexity of the history-matching workflow. machine learning reservoir simulation & nævdal modeling & simulation seismic data experiment information artificial intelligence upstream oil & gas data...

... as the optimization method for all the experiments. All control variables are scaled to the range of [0.05, 1]. The reasonforsetting the lower bound as 0.05 is that, in the reservoir simulation, the value 0 for WECON will turn off this keyword, which means the control of the corresponding well will not be sensitive...

... & simulation enhanced recovery complex reservoir upstream oil & gas history matching production forecast gpu run time spe reservoir simulation symposium reservoir characterization reservoir simulation mukundakrishnan simulation result simulator gpu-based simulator geological model gpu...

..., where water breakthrough typically happens within 2 – 4 weeks. Conventional reservoir simulation for Balder and Ringhorne wells completed with ICDs showed an insignificant increase in oil production and a trivial reduction in water cut, when compared to SAS wells, this seems to contradict production...

... analysis tracer upstream oil & gas chemical plt lower completion reservoir simulation pvt measurement drawdown aicd oil tracer directional drilling history matching inflow model well performance tracer concentration tracer cloud cleanup experimental data inflow aicd model reservoir...

...Forward seismic simulations Forward seismic simulations aim to generate simulated acoustic impedance (AI) data AI sim (in orange) based on input reservoir models m (in green). In Figure 1 , this procedure involves three components, namely, the reservoir simulator (in green), the rock...

...). integrated asset modeling upstream oil & gas artificial intelligence constraint optimization problem nonlinear problem gale algorithm expression reservoir flow rate nonlinear expression algorithm reservoir simulation calculation pressure constraint rate constraint solution point asset...

... modeling well logging reservoir simulation fluid dynamics enhanced recovery proportion modeling & simulation hierarchical level structural geology thickness facies fraction reservoir characterization artificial intelligence waterflooding channel complex petroleum geoscience...

..., to the reservoir properties. The modelling technique, a grid-based numerical well/reservoir simulation, necessitates knowledgeable personnel and detailed, sometimes uncertain, geological data. The multiple model iterations required when using ICD-AICD technology further increases the reservoir simulators...

... in predicting the NPV of a well-placement problem through multiple homogeneous and heterogeneous reservoir scenarios differ significantly. artificial intelligence constraint prediction reservoir simulation rmse value optimization problem objective function injection well machine learning upstream...