... algorithms, the LSTM model had the highest prediction accuracy, while a supervised random forest model showed the best fit between actual and predicted data. A thorough understanding of oilwell cement's behavior and the changes in its mechanical properties is essential for ensuring safe and efficient...

... The forecasting model was built using LSTM layers and integrated with optimization algorithms. These algorithms calculated gradients during the optimization process to iteratively adjust model weights across epochs, improving learning accuracy. Each LSTM layer included a memory cell, along...

... test reservoir characterization formation pressure testing presented permeability pressure data complex reservoir test location optimizing depth selection accuracy Introduction Data Preprocessing Data preprocessing ensured quality and consistency of inputs for ML models. Key steps...

.... The model is designed to selectively capture data points that exhibit a direct pressure-FR relation while disregarding points that have other variables influencing pressure. A classification model exhibited the highest accuracy of around 94%. Implementing the advisor recommendations can potentially yield...

... with hydraulic fracturing and subsequent production. The case study has chosen 100+ wells of the STACK area. Our results show that the DNN-based reservoir simulation substantially improves both the accuracy and speed of reservoir performance predictions when compared to conventional simulators. More importantly...

... accuracy. The deep learning approach can augment human decision making in managing treating pressure. This approach serves fast and reliable reference and helpful for staff training. sedimentary rock geologist geology neural network artificial intelligence treatment data pressure trend...

... adaptive curve fitting procedure. In this procedure initial PTT data will be collected and model will be fitted to the initial data. The model then will be updated as new data becomes available. As data expands, the model will be updated with new data and its accuracy will increase. Once the model's...

... filters to reduce error between classes in training images. These networks of filter layers were used to assign probabilities of classes, which were upscaled back to the original image dimensions resulting in probabilistic class assignments onto each pixel. FCN model accuracy, defined by its ability...

... geological models to ensure accuracy in reservoir modeling. scaling method reservoir simulation Modeling & Simulation recovery process boundary condition averaging heterogeneous reservoir reservoir characterization accuracy porosity algorithm coarse model Upstream Oil & Gas...

... results obtained from core data. The largest size D (2.8-4.0 mm) gave the best results with minimum error. core analysis log analysis well logging Upstream Oil & Gas accuracy diameter wet sponge cutting desaturation time experimental method core plug society of petroleum engineers...

.... The study further reports on the advantages and limitations of each method and provides recommendations for best practices. accuracy waterflood residual oil saturation Modeling & Simulation water saturation Upstream Oil & Gas tracer test porosity residual oil saturation saturation...

... and the multiphase meter shows average liquid flow deviation of about ±7%. The water cut was measured within 1-2 points of the water cut from the test separator. Reservoir Surveillance flow metering accuracy consistency production control Upstream Oil & Gas measurement accuracy fraction flow rate...

... perforation efficiency single trip sand production accuracy sdl swivel completion installation and operations kickover lug connector hop system petroleum engineer sdid operator perforating optimize perforation efficiency dogleg severity production maintaining stability severity upstream oil...

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... be retrained with multi well data to improve its scope and applicability. Unfortunately, some efforts to upgrade can result in choosing to use sub-optimal training algorithms because of the need to deal with an extensively increased data size. The consequence is a reduction in predictive accuracy. To improve...

.... In an operating well, the method requires the periodic measurement of annular surface pressure using a pressure transducer with an accuracy of 0.1% and acoustic fluid level depth digitally acquired with a resolution of one millisecond while the casing valve is closed and produced gas is accumulating...

...% for undersaturated oil viscosity to 14.47% for saturated oil viscosity. correlation viscosity crude oil undersaturated oil viscosity accuracy oil viscosity viscosity correlation experimental dead oil viscosity gulf standard deviation crouplot dead oil viscosity society of petroleum engineers oil...

... government geology reservoir characterization carbonate envelope spe 29515 flow in porous media algorithm accuracy effect Introduction Most log analysis literature has been devoted to clastic reservoirs, although the majority of today's oil production comes from carbonate rocks. To date...

... ABSTRACT The available set of engineering design tools for sucker-rod pumping units is incomplete. There is no sucker-rod design tool that has the combination of speed and accuracy needed for traditional conceptual design. The existing design tools lack either speed or accuracy. The solution...

... that the the nozzle-calibrated flow coefficients obtained in this field test should improve the measurement accuracy of the 4" (102 mm) segmental wedge meter for natural gas flow measurement. flow rate production monitoring reservoir surveillance manufacturer deviation upstream oil & gas diameter...