... such as history matching and field development plan optimization but is typically an intensive and time-consuming process. The aim of this study is to compare various deep-learning algorithms for constructing a machine-learning (ML) proxy model, which reproduces the behavior of a reservoir simulator and results...

... algorithm reservoir characterization pore porosity gaussian process regression model segmentation correlation toolkit flow in porous media machine learning coefficient watershed segmentation extraction Introduction Permeability is one of essential parameters for characterization...

... spaces. The main objective of this study is to develop an empirical correlation for porosity, permeability, and irreducible water saturation by comparing NMR and laboratory measurements for carbonate rocks in the Middle East. Furthermore, machine learning (ML) approach was applied to predict...

... properties of a declining profile. This paper will propose a machine learning-based framework to determine these properties for unconventional reservoir development. In the proposed algorithm, instead of directly data mining on the raw data from different categories and scales, we propose to convert...

... coefficient and weighing effect of dependent variables. Nevertheless, numerous correlations are available in literature, but one looks for the correlation that predicts the PVT properties accurately. Few researchers have recently developed machine learning (like Artificial Neural Network, Support Vector...

... upstream oil & gas reservoir simulation artificial intelligence machine learning boundary evolutionary algorithm north kuwait criteria asia government kuwait government history workflow permeability complex carbonate reservoir tailored-made sector-centered history match approach sabriyah...

... graphically and using logistic regression techniques. permeability flow in porous media equation probe permeameter upstream oil & gas machine learning darcy asia government permeameter spe formation evaluation generalized correlation spe-212639-ms obtain steady-state journal reservoir...

.... united states government asia government deep learning upstream oil & gas reservoir simulation artificial intelligence petroleum engineer neural network machine learning concentration fno kaolinite co 2 permeability tariq exhibition simulator subsurface storage climate change...

... correlation diameter permeability realization subsurface storage artificial intelligence machine learning workflow co2 injection experiment united states government europe government enhanced recovery discrete tubing migration id 2 7 8 climate change co2 saturation forecast latin hypercube...

... is outlinedrather briefly here. For a more comprehensive descriptionof the StoSAG method, see Fonseca et al. (2017) . Case Study Reservoir Model asset and portfolio management machine learning upstream oil & gas artificial intelligence reservoir optimization problem uae government asia...

... asia government reservoir upstream oil & gas deep learning artificial intelligence production control reservoir simulation production monitoring machine learning reservoir surveillance reservoir characterization pvt measurement neural network scaling method reconstruction...

... by automating the Pc-based pore network characterization and applying machine learning (ML) to capillary pressure modeling. We have also incorporated advanced analytic dashboards to allow for semi-automatic QA/QC and interactive model optimization by the user. The distribution of rock-types in carbonates...

... upstream oil & gas neural network scenario reservoir simulation asia government kuwait government machine learning forecast artificial intelligence prediction time-intensive history matching challenge reservoir characterization journal deep learning innovative ai physics hybrid...

.... asphaltene inhibition upstream oil & gas neural network oilfield chemistry artificial intelligence uae government composition scale inhibition equation of state wax inhibition scale remediation machine learning remediation of hydrates asia government hydrate inhibition envelope enhanced...

... matching machine learning workflow reservoir simulation ensemble localization pda mismatch information upstream oil & gas artificial intelligence streamline production data analysis fpcm computation similarity fluid path conceptual model non-pda compliant realization consistency...

... asia government calculation neural network machine learning upstream oil & gas china government pvt measurement artificial intelligence prediction molar composition reduction diagram accuracy simulation application fraction mole fraction procedure sour ga composition...

... simulation tracer asia government machine learning transformation nanoprobe temporal resolution nanoprobe tracer algorithm producer resolution tracer breakthrough spe annual technical conference united states government artificial intelligence breakthrough exhibition presented chem-probe...

.... Nevertheless, a poor WAG design often results in unfavorable oil recovery. This study investigates WAG optimization in a sandstone field using a hybrid numerical-machine learning (ML) model. In this work, we present a hybrid neural approach for optimizing the WAG injection process that can be easily integrated...

... & gas seismic model asia government artificial intelligence inversion reservoir characterization porosity crossplot machine learning seismic inversion geostatistical inversion realization interparticle pore correction facies abu dhabi estimation rpm rock physics modelling uae...

... for building a field-scale model and designing a successful pilot project. fluid dynamics carbonate reservoir history matching upstream oil & gas united kingdom government waterflooding reservoir simulation optimization problem asia government netherlands government machine learning...