... through validation, involving data not used during the training or the validation process. In the application to field data, the trained model is employed to estimate relative permeability curves using authentic production data. Finally, integration with reservoir simulation entails assimilating...

... resistance penetration kpa geologist installation aid amplitude validation calculation risk management transition installation aids crane geology assessment monopile undrained shear strength punch offshore technology conference permeability Introduction With ever...

... engineering platform design sustainable development simulation openfast wave basin mrnwb ocean solver validation wind turbine numerical wave basin agreement Introduction Wind energy is a promising renewable energy resource, and a wind turbine is one of the most efficient renewable energy...

... and test the input factors impacting the target property using a neural network method. The model expressed an integrated relationship between the training and validation data which resulted in an optimum learning performance revealed by a loss function plot. As a result, the scatter plot for prediction...

...) and the formation of emulsion affects the ESP system, its run life, and the production itself. The viscosity increase due to emulsion formation severely hampers the ESP performance, requiring an increase in energy consumption on the platform to keep the same production rate. This work presents an initial validation...

... the WFA project that enabled a complete iterative system design process at the interface between MVOW as the turbine designer, and PPI as the floating foundation designer. Then, it covers the different steps of the design process, starting with the validation of the fully coupled numerical models used...

... During living lab execution of experiments, several input factors could be controlled, offering opportunities to validate performance. This enabled confidence to be gained in the capability of the vehicle and mitigated for the reduction in input factors available during testing on operational...

... and field results in the AI training. machine learning upstream oil & gas fine model reservoir simulation optimization flow-based model artificial intelligence production forecast nqd value scaling method upscaling application validation upscale high-fidelity model schiozer neural...

... simulations. The method is validated numerically by simulating measurements in an analysis and using them to reconstruct the complete response. Then actual strain gauges’ measurements on a hull are used to validate the method on a real case. Both fatigue damages and extreme stress values are compared...

... The Validation process denotes verification actions before and after the reconciliation step through various levels of filtering. This ensures and provides a reasonable quality of the process information. The Reconciliation is an error minimization technique that simultaneously corrects each...

... resolution 2D and 3D CFD simulations. For primary validation of the model, output of cuttings mass exiting the wellbore is compared against measured mass from drilled cuttings waste (skips). Secondary validation is through comparison of simulated stand-pipe pressure, including the effect of modelled spatial...

... contact. Multiple diagnostic injection tests and temperature logs were run to validate a robust 1D MEM prepared with an end-to-end definitive workflow. 3D far field acoustic imaging, pressure transient analysis of downhole 3D radial probe sampling stations, and analysis of breakdown and injectivity tests...

... in the validation test coupon, which enabled the use of this stricter criteria for the analysis. Detailed procedures were established, and validation testing results were documented with photographs of detected flaws. Seeded flaw coupons were manufactured for validation of procedures and to train the various...

... for HPHT products and some requirements for validation testing. The methodology provides detail on the assessment of static structural and cyclic capacities but less detail on how to assess the functional and serviceability criteria for wellhead connectors. Similarly, API 17TR8 does not include...

... for getting reliable results. Dynamic engineering studies have been carried out in order to achieve the three (3) main objectives (i.e., Process validation, DCS validation, Operator training) because it helps to validate process, establish experts and best practices among operators, enhancing understanding...

... and future work are discussed in the paper. prediction training data prediction accuracy prediction error neural network test data line tension simulation data machine learning dataset artificial intelligence lng static simulation data liquified natural gas validation simulation mooring...

... and opportunities for new repair and aftermarket solutions. fuel injector alloy additive manufacturing engineer offshore application gas turbine portfolio validation qualification siemen reliability combustion system upstream oil & gas manufacturing technology operation injector gas turbine...

... technology conference precision deep learning validation iteration average precision L. Fei-Fei , J. Deng , and K. Li , " ImageNet: Constructing a large-scale image database ," J. Vis. , vol. 9 , no. 8 , pp. 1037 – 1037 , 2010 . J. Carreira and A. Zisserman...

... Abstract Objectives/Scope The generalized use of multi-physics software may lead to significant errors when engineering judgement has not been exercised to its full extent. For that purpose ASME has developed Verification and Validation documents for Solid and Fluid Mechanics...

... on these types of classifiers, a topic of consideration is the validation methods employed during their development to ensure accuracy and precision, requiring the best available methods to help data scientists evaluate their soundness, features and limitations, and explain to key stakeholders who may...