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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193776-MS
... in several sectors. However, its value has not been captured in the Oil and Gas industry. This paper presents a review of various Machine Learning applications in exploration, completions, production operations to date. An overview of data-driven workflows in the fields of electric submersible pump (ESP...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193651-MS
...-scale phase development by implementing the learnings and the integrated approach of all teams, from surface to subsurface, with a shared goal. Artificial Intelligence Steam Injector steam injection machine learning steam-assisted gravity drainage heavy oil field steamflood North Kuwait...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193684-MS
... workforce. machine learning bitumen Artificial Intelligence personnel competence oil sand seminar field seminar knowledge workstream society of petroleum engineers Upstream Oil & Gas outcrop KOC operation heavy oil attendee complex reservoir Benham Collaboration Kuwait Training...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193687-MS
... Neighbor. well control area 0 annular pressure drilling accuracy Artificial Intelligence k-nearest neighbor detection algorithm artificial neural network decision tree Bayesian network performance metric value precision 0 machine learning Upstream Oil & Gas absolute error...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193769-MS
... enhanced recovery Upstream Oil & Gas thermal method Artificial Intelligence approximation convergence action-value function case 1 reinforcement learning steam-assisted gravity drainage optimization production horizon steam injection rate machine learning SAGD field operation...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193755-MS
... be applied as a cost-effective tool to optimize the wellbore trajectory and to calculate approximately the drilling time for future highly deviated wells. reservoir geomechanics log analysis machine learning wellbore integrity Artificial Intelligence Wellbore Trajectory Optimization neural...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193752-MS
... analysis machine learning well logging flow in porous media selection identification hydraulic flow unit log reading society of petroleum engineers Bayesian Inference flow unit FZI Upstream Oil & Gas log data application conditional probability probability permeability Fluid Dynamics...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193779-MS
... meters a strong correlation was observed to ROP. machine learning al dushaishi drill stem vibration Upstream Oil & Gas stick-slip tendency regression analysis coefficient Artificial Intelligence Vibration data drill collar MSE stem lateral vibration behave parabolically vibration...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193739-MS
... The RDA instrument used in this work is shown in Fig. 1 . machine learning drilling fluid property drilling fluid chemistry flow in porous media drilling fluid formulation acidizing drilling fluid selection and formulation drilling fluids and materials Upstream Oil & Gas concentration...
Proceedings Papers

Paper presented at the SPE International Heavy Oil Conference and Exhibition, December 10–12, 2018
Paper Number: SPE-193806-MS
... geostatistical inversion (SGI) added much value in terms of delineating the shale barriers and enhancing resolution, in addition to estimating effective porosity for well releases. machine learning Upstream Oil & Gas time window amplitude interpretation Artificial Intelligence information rms...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference and Exhibition, December 6–8, 2016
Paper Number: SPE-184091-MS
... equating with a gamma peak, in other wells having no clear log response. text classification natural language Upstream Oil & Gas Reservoir Characterization structural geology machine learning Artificial Intelligence facies stratigraphy sandstone porosity rock type Distribution Pattern...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference and Exhibition, December 6–8, 2016
Paper Number: SPE-184096-MS
... extreme heavy oil complex reservoir viscosity nitrogen machine learning bitumen heavy oil Oil Recovery crude oil characterization recovery classification experiment quantity carbon society of petroleum engineers oxygen hydrogen carbonate reservoir Carbonates Tar-Mat Introduction...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference and Exhibition, December 6–8, 2016
Paper Number: SPE-184140-MS
..., with an average relative error of 3.8%. In addition, it is much simpler and easier to use than existing methods when applied to Kuwaiti crudes. Modeling & Simulation heavy crude oil Artificial Intelligence experimental viscosity correlation machine learning Upstream Oil & Gas oil sample Oil...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference and Exhibition, December 6–8, 2016
Paper Number: SPE-184132-MS
... significantly improved when new correlations were employed which incorporate different temperature profiles and accordingly the viscosity variations. The application of the new correlation could improve the flow prediction in thermal simulators. machine learning Upstream Oil & Gas viscosity water...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference and Exhibition, December 6–8, 2016
Paper Number: SPE-184137-MS
... probability machine learning text classification mineralogical log identification petrophysical data Fournier electrofacies 104 society of petroleum engineers log signature porosity permeability trend specific electrofacies SCAL data porosity mineralogical data capillary pressure...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference and Exhibition, December 6–8, 2016
Paper Number: SPE-184133-MS
... resistivity (R w ) with depth was estimated to account for both salinity and temperature increase ( Figure 3 ). Results were validated qualitatively by comparison to dielectric resistivity S w . Geocellular Model Development machine learning depletion heavy oil field Artificial Intelligence oil...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference and Exhibition, December 6–8, 2016
Paper Number: SPE-184168-MS
.... Upstream Oil & Gas Bayesian Inference Artificial Intelligence drilling fluid consequence node Exhibition information knowledge decision tree objective probability distribution jerome schubert selection Engineer operation machine learning node best practice Bayesian network...

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