... complex reservoir geologist united states government europe government machine learning permeability modeling & simulation formulation spe reservoir evaluation heterogeneity scenario fractured reservoir calibration salt tectonics artificial intelligence grid simulator karst fracture...

... sedimentary rock clastic rock reservoir simulation reservoir geomechanics assimilation united kingdom government geology europe government machine learning geologist ripp information forecast engineering ensemble smoother petrol history matching ensemble schiozer brazil rock type...

... bayesian inference well logging seismic model machine learning austria government mudrock europe government log analysis reservoir geomechanics geological subdiscipline upstream oil & gas united states government inversion artificial intelligence drilling measurement reservoir...

... & gas deep learning artificial intelligence machine learning asia government europe government gravity anomaly anomaly abu dhabi engineering network inversion inversion offshore abu dhabi information pseudogravity anomaly igneous rock The interpretation of gravity anomalies holds...

... government geologist structural geology modeling & simulation artificial intelligence tarim basin filling sequence type machine learning tahe oilfield breccia reservoir characterization spe reservoir evaluation paleogeomorphology characteristic sequence architecture Tahe oil field...

... data mining machine learning algorithm spe reservoir evaluation sarvak reservoir porosity modeling facies modeling spherical 5526 upscaled 0 formation porosity realization Generally, description and spatial distribution of the reservoir properties such as facies, porosity...

... pce reservoir simulation modeling & simulation production monitoring machine learning realization frequency calculation drilling operation injection fluid dynamics enhanced recovery evolutionary algorithm sensitivity analysis pce coefficient simulator polynomial chaos expansion...

... government algorithm upstream oil & gas neural network asia government flow in porous media fluid dynamics deep learning artificial intelligence experiment ml algorithm comparison application machine learning spe reservoir evaluation analytically validation steady-state experiment...

... production monitoring united states government europe government production control spe reservoir evaluation machine learning model information node reynolds reservoir simulation artificial intelligence evolutionary algorithm perforation paper simulator equation economic geology imaginary...

... Society of Petroleum Engineers upstream oil & gas reservoir simulation norway government machine learning reservoir simulator asia government spe reservoir evaluation artificial intelligence equation deep learning europe government turkey government information united states...

... Engineers complex reservoir asia government united states government artificial intelligence well logging machine learning kriging interpolation interpolation correlation china government reservoir characterization fracture upstream oil & gas hydraulic fracturing resolution...

... learning fluid dynamics united states government neural network flow in porous media ensemble permeability grid property brazil government uncertainty reduction reservoir simulation artificial intelligence spe reservoir evaluation da3 posterior ensemble da1 machine learning application...

.... upstream oil & gas fluid dynamics reservoir simulation united states government asia government europe government machine learning fracture complex reservoir hydraulic fracturing modeling & simulation fractured reservoir flow in porous media scaling method connectivity edfm...

... and permeability. Based on the large data set of numerical simulations, analytical and machine-learning (ML) models were combined to infer unknown rock properties in each well. Mean-absolute-percent errors (MAPE) of the analytical and ML models for the estimation of water saturation in the virgin zone are 5% and 2...

.... Then, they increase the number of clusters and perform clustering again. This process is repeated several times until there is no significant change in the correlation coefficient. upstream oil & gas machine learning reservoir characterization algorithm correlation coefficient scenario hfus hydraulic...

... logging structural geology spe reservoir evaluation reservoir characterization artificial intelligence machine learning mineralogy particle effect bead porosity sandstone kaolinite relaxation permeability gradient log analysis nontronite eff internal gradient paramagnetic ion mineral...

... investigated 18 methods of DR commonly applied in the literature. The proposed workflow accomplished (1) definition of the adequate number of dimensions; (2) evaluation of the time spent for each data set generated using the elapsed computational time; (3) training using the automated machine learning (AutoML...

... unconventional resource economics artificial intelligence correlation energy economics rms amplitude complex reservoir reservoir surveillance production control production monitoring mva workflow dj basin machine learning algorithm upstream oil & gas data mining reservoir characterization spe...

... machine learning realization criterion attitude geologist geology rock type canada government waterflooding upstream oil & gas reservoir simulation game theory In many practical applications under expected utility framework, variance is often treated as the measure of risk...

... shale oil bayesian inference production control artificial intelligence machine learning bakken shale unconventional reservoir hindcast gibb sampler engineer algorithm production monitoring shale basin decline curve analysis paper europe government petroleum play type reservoir...