... technology conference wolfcamp base case artificial intelligence upstream oil & gas monograph 3 well trr well spacing normalized recovery URTeC: 3707494 Midland Basin Wolfcamp Resource Assessment Using Well Spacing Normalized Recovery per Section Dicman Alfred*1 and John McLaughlin2 1. Vencer...

... in parallel with petrophysicists to increase productivity or to free the human interpreter to concentrate their efforts on higher value add activities or work that requires creative or non-standard interpretations. reservoir characterization deep learning complex reservoir artificial intelligence...

... to adapt quickly to survive. machine learning shale oil directional drilling energy economics artificial intelligence reservoir characterization shale gas drilling operation reservoir geomechanics us government oil shale stress shadow effect basin wolfcamp workflow unconventional...

... characterization and facilitates the completion parameter optimization thereby improving reservoir development in unconventional oil reservoirs. energy economics artificial intelligence drillstem testing unconventional resource economics data mining shale gas machine learning upstream oil & gas...

... this promising deep learning model utilizing it as an automated handy tool to audit fracture interpretations quickly where datasets are incomplete. reservoir geomechanics reservoir characterization complex reservoir artificial intelligence accuracy upstream oil & gas machine learning well...

... surveillance drillstem testing drillstem/well testing correlation dynamic gradient hole permanent gauge data mining production logging upstream oil & gas flowing period prediction production control artificial intelligence direct measurement complex reservoir bhp training data set input...

... learning us government upstream oil & gas production forecasting deep learning modeling & simulation neural network artificial intelligence complex reservoir physics-guided deep learning prediction field dataset application dataset equation pgdl model experiment physics-constrained...

... hydrate remediation hydrate inhibition scale inhibition concentration oil production subsurface artificial intelligence production chemistry asphaltene remediation remediation of hydrates source allocation enhanced recovery wax inhibition hydraulic fracturing external water porous media...

... the statistical methods to be considered as the baseline for assessing the performance of the predictive models for production profiles in unconventional reservoirs. machine learning modeling & simulation flow in porous media data mining artificial intelligence complex reservoir fluid dynamics...

..., engineered completion design that locates and group clusters by stages that are adapted to facies type along the formation, and includes a prediction of stage-production performance. energy economics log analysis production monitoring artificial intelligence shale gas production control...

... facilities planning, and long-term development strategies. The platform also lends itself to continued improvements such as incorporation of defensive refracs to provide a more holistic view on project investment and field development. complex reservoir well sequence artificial intelligence...

... systematically optimizing the development of shale reservoirs. hydraulic fracturing fracturing fluid urtec machine learning proppant upstream oil & gas ciezobka fracturing materials artificial intelligence drilling operation complex reservoir seg unconventional resource technology...

... statistical analysis neuron artificial intelligence upstream oil & gas color map workflow top niobrara complex reservoir classification categorical variable som hypothesis reservoir characterization structural geology som classification niobrara som result chi 2 som neuron fault...

... maturity measurements as predictive tools for modeling produced fluid phase in this formation. geochemical characterization machine learning drilling operation complex reservoir area 2 upstream oil & gas geochemistry urtec artificial intelligence structural geology marl 1 1 reservoir...

... characterization hydraulic fracturing tracer test analysis upstream oil & gas artificial intelligence waterflooding water management complex reservoir produced water discharge concentration formation 1 physicochemical analysis molar equivalent isotope analysis operation isotope ratio...

... this issue, we propose an efficient analytical solution to predict the stress field change due to pressure decline. reservoir characterization flow in porous media reservoir geomechanics complex reservoir mean stress artificial intelligence upstream oil & gas reservoir region coefficient...

... the risk of wellbore damage from shear failure. Moreover, the safe mud-weight window can also vary drastically along the lateral landing changes caused by formation heterogeneity and uneven depletion from the hydraulic fracture network. artificial intelligence reservoir characterization modeling...

... artificial intelligence svm score main body different well algorithm valid data outlierness outlier detection crossplot realization unsupervised stochastic machine learning approach hyperplane URTeC: 3721358 An Unsupervised Stochastic Machine Learning Approach for Well Log Outlier...

... oil & gas artificial intelligence complex reservoir computational fluid dynamic proppant size perforation flow rate proppant concentration perforation orientation stage design guided stage design optimization proppant distribution design parameter screenout cfd model toe cluster...

... geomechanics artificial intelligence drillstem testing fracturing materials fracturing fluid drillstem/well testing stimulation production logging production control ra tracer complex reservoir reservoir surveillance history matching production monitoring asset and portfolio management proppant...