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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195239-MS
... estimates. Artificial Intelligence uncertainty analysis bottom-hole pressure low salinity water injection society of petroleum engineers Modeling & Simulation field development composition injection permeability enhanced recovery Upstream Oil & Gas reservoir simulation oil...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195231-MS
... monitoring production forecasting uncertainty analysis presentation estimation data mining complex reservoir Exhibition coefficient Permian Basin production control Artificial Intelligence reserves evaluation production data power law exponential machine learning Reservoir Surveillance...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195226-MS
.... The high well counts, and prevalence of data in mature basins previously drilled, provide a data rich environment. Artificial Intelligence based solutions from other business sectors provides us with a wonderful opportunity to try and solve daunting Unconventional technical problems with heuristic data...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195240-MS
... fracture artificial intelligence machine learning Eagle Ford Interwell interference by fracture hits in unconventional reservoirs has a tremendous impact on further field development plans, especially when implementing enhanced oil recovery (EOR) methods. One of the EOR methods that has received...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195179-MS
...-analytics, with a web-based deliverable to provide operators with near "real-time" surveillance and operational optimizations. data mining machine learning Artificial Intelligence waterflooding injector History optimization producer conformance improvement constraint production data...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195194-MS
... method data-driven method evaluation enhanced recovery regression oil reservoir algorithm Injection Rate Sheng gas injection reservoir society of petroleum engineers Artificial Intelligence dataset Engineering Oil Recovery information flooding shale oil reservoir oil phase injection...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195199-MS
... discharge viscosity friction reducer Artificial Intelligence concentration viscosity development performance booster hydraulic fracturing water chemistry operation HVFR friction reducer performance friction reduction society of petroleum engineers synthetic water fluid system...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195183-MS
... fracturing Upstream Oil & Gas andre tight oil dolomite reservoir recovery tight oil dolomite reservoir sensitivity run production history reservoir simulation facies development strategy Artificial Intelligence reservoir society of petroleum engineers eastern model Scenario fracture...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195197-MS
... for any induced fractures formations globally. Not enough data were used The model is applicable only in a specific area The methodologies in some papers were not explained very well Artificial Intelligence circulation machine learning artificial neuron output layer MSE algorithm...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195204-MS
... economics in an evolving commodity price environment. machine learning Upstream Oil & Gas Artificial Intelligence correlation oil eur hydraulic fracturing oil production optimization normalized stimulation fluid Reservoir Characterization HCPV completion fluid intensity Niobrara Well...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195238-MS
... machine learning history matching information representation Artificial Intelligence Upstream Oil & Gas competence response surface bayesian calibration society of petroleum engineers simulation uncertainty reduction optimization process completion optimization physics-based model...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195220-MS
... fracture Artificial Intelligence complex reservoir ufp microfracture effective permeability proppant concentration unconventional reservoir apostolopoulou fracture matrix permeability permeability mf conductivity conductivity rock matrix Eagle Ford Unconventional resource plays...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195234-MS
... well Oklahoma City operator feedback anomalous event self-adjusting anomaly detection model Artificial Intelligence Downtime liquid loading operator Remedial Action motor control valve anomaly detection system society of petroleum engineers machine learning Upstream Oil & Gas gas...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195185-MS
... primary production Injection Rate reservoir diffusion effect machine learning Modeling & Simulation tight oil fractured reservoir recovery factor hnp process artificial intelligence Table 2 Reservior properties and operation conditions Reservoir depth 11109 feet Reservoir...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195181-MS
... accuracy neural network orientation Upstream Oil & Gas CT image convolutional network identification fracture training dataset background label class imbalance Artificial Intelligence Computer Vision information core fracture characterization dataset society of petroleum engineers...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195208-MS
... smarter decisions faster in a repeatable way. artificial lift system optimization problem machine learning gas lift calculation performance curve gas lift system multiobjective genetic algorithm gas injection Artificial Intelligence Upstream Oil & Gas oil production multi-well gas...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195219-MS
... Oil & Gas Reservoir Surveillance hydraulic fracturing information fast-loop quantitative analysis completion design slurry perforation cluster quantitative analysis production logging Artificial Intelligence proppant continuous slurry workflow algorithm fiber optic system...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, March 27–31, 2017
Paper Number: SPE-185119-MS
.... Reservoir Surveillance production control production logging lateral composition coiled tubing production monitoring Upstream Oil & Gas information Horizontal Production trajectory deployment wellbore Heddleston Artificial Intelligence tractor deployment method service quality best...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, March 27–31, 2017
Paper Number: SPE-185104-MS
... lateral stimulation ML well operator Scenario cost savings frack string ML junction frack completion artificial intelligence Upstream Oil & Gas Efficiency mainbore completion horizontal well liner fracture junction reentry wellbore To begin with, when considering ML wells...
Proceedings Papers

Paper presented at the SPE Oklahoma City Oil and Gas Symposium, March 27–31, 2017
Paper Number: SPE-185086-MS
... of operation would be the best approach to ensure a high percentage of recoverable incremental oil and sequestration of anthropogenic CO 2 within the Morrow reservoir. machine learning Modeling & Simulation FWU saturation Upstream Oil & Gas oil production storage Artificial Intelligence...

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