... of our knowledge this is the first time fPCA is applied to well log curves in the context of oil and gas exploration. machine learning Artificial Intelligence interpolation well logging principal component score Reservoir Characterization Upstream Oil & Gas petrophysical property log...

... quantification SRM Artificial Intelligence Upstream Oil & Gas reservoir simulation model production rate reservoir model application evolutionary algorithm history matching Exhibition workflow actual data punq-s3 reservoir model machine learning reservoir simulation bottom-hole pressure...

... model choke size critical flow condition production rate Flow Condition machine learning Artificial Intelligence Upstream Oil & Gas correlation well production test validation drillstem testing society of petroleum engineers flow model drillstem/well testing Introduction...

.... The results of this study are intended to prove the potential of AI&DM based reservoir models, like SRM, to ease the obstacles involved in the conventional CO2 sequestration modeling. subsurface storage surrogate reservoir model machine learning absolute error Upstream Oil & Gas layer 18...

... Thickness ANN model machine learning well integrity wall thickness Well Integrity Surveillance neuron total nominal thickness Artificial Intelligence Upstream Oil & Gas artificial neural network metal loss correlation coefficient well location dataset candidate selection process...

... generated and are described in the paper. The results show that the modified QPSO was able to produce an optimum realistic solution significant superior to current practices in the field. Artificial Intelligence Efficiency PSO machine learning constraint generator proceedings evolutionary...

... be used in drilling planning and real-time operation of oil and gas wells in the related field that can result in decreasing Non Productive Time. Artificial Intelligence Efficiency neural network well 3 machine learning field data Upstream Oil & Gas optimization artificial neural network...

... of largely untapped collection of documents. The process can be automated to integrate pattern extraction and visualization with existing systems to empower engineering staff and technical specialists involved in the monitoring and analysis of well construction. machine learning Upstream Oil & Gas...

... introduced. Use of these methods can ensure that good quality data for needed analyses is available in the data historian, thereby saving analyst time and assuring that erroneous conclusions are not reached by using faulty data. Upstream Oil & Gas single tag error detection algorithm machine...

... operation interpretation Drilling translational analytic BioPharma industry Compound production data translational medicine efficacy Health & Medicine optimization metadata machine learning society of petroleum engineers clinical trial subsurface oil industry safety A Tale of Two...

.... machine learning sensor fault detection original data algorithm Artificial Intelligence input variable sensor validation Upstream Oil & Gas historian data reconstruction reconstruction principal component analysis diagnosis data quality detection application validation DPCA model spe...

... averaging-technique. The history match results from both methods were compared based on the percentage error. This unique approach will benefit older fields with sparse data. Artificial Intelligence history matching machine learning reservoir simulation Muddy Sandstone simulation model porosity...

... Upstream Oil & Gas frequency Artificial Intelligence key performance indicator liquid rate surveillance Visualization sp smart flow smart flow neural network machine learning drillstem/well testing Production Operation SPE Digital Energy Conference water cut the woodlands surveillance...

... to greatly enhance the safety and the performance of well drilling and pave the path forward for more automated rig operations. drilling fluid management & disposal drill pipe machine learning Upstream Oil & Gas Artificial Intelligence relational redundancy Bayesian network rig internal...

... and hole pack-off. machine learning real time measurement optimization Artificial Intelligence bit wear circulation rock strength latent benefit ROP Upstream Oil & Gas decision support system incident operation Exhibition pipe Decision Support society of petroleum engineers...

.... reservoir geomechanics complex reservoir neural network model calibration machine learning Artificial Intelligence Wellbore Design spe 163690 Reservoir Characterization shale gas Upstream Oil & Gas information Marcellus Shale Mohaghegh data-driven model well log actual data property...

... of reservoir engineers to establish a one stop information analysis integrated platform. This platform integrates different data sources and applications used for analyzing engineers' fields and reservoirs saving them the time needed to search and manipulats the data. machine learning saudi arabia...

... that can accommodate a wide variety of data from pressure tests to seismic. machine learning modeling history reservoir simulation static model simulation run water cut artificial intelligence spatiotemporal database mohaghegh ai-based reservoir model functional relationship rate...

... performance approach. Artificial Intelligence drilling operation perceptron prediction drilling problem drilling fluid selection and formulation neural network drilling time analysis spe 142799 reduction machine learning drilling fluids and materials Upstream Oil & Gas oil field pipe...

... rotating and reciprocating equipment on the topsides of offshore assets to develop predictive models that can be used to prompt preemptive actions before a critical and economically expensive downtime event. best practice data stream application machine learning information neural network...