1-20 of 79
Keywords: machine learning
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles
Journal Articles
Journal Articles
SPE Drill & Compl 38 (01): 1–17.
Paper Number: SPE-210605-PA
Published: 08 March 2023
... 3 2022 12 7 2022 17 6 2022 5 8 2022 8 3 2023 Copyright © 2023 Society of Petroleum Engineers upstream oil & gas neural network deep learning machine learning apc-lstm artificial intelligence spe drilling drilling operation mechanism experiment...
Journal Articles
SPE Drill & Compl (2023)
Paper Number: SPE-214655-PA
Published: 22 February 2023
... network deep learning iran government cement paper cnn machine learning automatic interpretation algorithm company accuracy cement evaluation log confessional matrix midrate artificial intelligence spe drilling conference gas well cement evaluation log Cementing is one of the most...
Journal Articles
Journal Articles
SPE Drill & Compl (2023)
Paper Number: SPE-214286-PA
Published: 05 January 2023
... costs. 28 9 2022 23 11 2022 13 11 2022 5 1 2023 Copyright © 2023 Society of Petroleum Engineers upstream oil & gas asia government artificial intelligence china government spe drilling machine learning subsea wellhead drilling operation sub-sea system...
Journal Articles
SPE Drill & Compl (2022)
Paper Number: SPE-209529-PA
Published: 28 November 2022
...Erlend Magnus Viggen; Bjørn-Jostein Singstad; Eirik Time; Siddharth Mishra; Eirik Berg Summary The Assisted Cement Log Interpretation Project has used machine learning (ML) to create a tool that interprets cement logs by predicting a predefined set of annular condition codes used in the cement log...
Journal Articles
Journal Articles
SPE Drill & Compl 37 (01): 26–37.
Paper Number: SPE-204093-PA
Published: 09 March 2022
... is strong to mitigate such scenarios, and additive information through early recognition of drilled lithology can be of great assistance. neural network machine learning drilling operation upstream oil & gas accuracy reservoir characterization deep learning dnn information drilling...
Journal Articles
Journal Articles
SPE Drill & Compl 36 (04): 849–867.
Paper Number: SPE-205480-PA
Published: 15 December 2021
...T. A. Olukoga; Y. Feng Summary There is a great deal of interest in the oil and gas industry (OGI) in seeking ways to implement machine learning (ML) to provide valuable insights for increased profitability. With buzzwords such as data analytics, ML, artificial intelligence (AI), and so forth...
Journal Articles
Journal Articles
SPE Drill & Compl 36 (03): 575–602.
Paper Number: SPE-205020-PA
Published: 08 September 2021
.... (2011) . The present and future risks associated with the system variables were evaluated to generate alarms in the system. Researchers prioritized the alarms according to the severity and provided operator guidelines to mitigate the risk. machine learning managed pressure drilling controller...
Journal Articles
SPE Drill & Compl 36 (02): 245–262.
Paper Number: SPE-203819-PA
Published: 16 June 2021
... for the MPD system under different noisy scenarios. 30 10 2019 29 6 2020 25 6 2020 29 9 2020 16 6 2021 Copyright © 2021 Society of Petroleum Engineers machine learning production control drilling fluid management & disposal equation of state production monitoring...
Journal Articles
SPE Drill & Compl 36 (01): 29–46.
Paper Number: SPE-202481-PA
Published: 17 March 2021
... selection and formulation drillstring design artificial intelligence reservoir surveillance production logging drilling fluid property reservoir geomechanics drilling data acquisition drilling fluid management & disposal well planning drilling fluids and materials machine learning drilling...
Journal Articles
Journal Articles
SPE Drill & Compl 35 (04): 525–534.
Paper Number: SPE-201094-PA
Published: 17 December 2020
... Intelligence drilling fluid selection and formulation drilling fluid management & disposal machine learning drilling fluids and materials friction factor critical reynolds number characterization drilling fluid formulation field drilling operation MSU pressure loss drilling operation real-time...
Journal Articles
SPE Drill & Compl 35 (04): 628–643.
Paper Number: SPE-199751-PA
Published: 17 December 2020
... oil production normalized per lateral foot. machine learning proppant hydraulic fracturing fracturing materials fracturing fluid Artificial Intelligence regional sand white sand oil production Upstream Oil & Gas completion fracture conductivity well performance conductivity...
Journal Articles
Journal Articles
SPE Drill & Compl 35 (03): 478–489.
Paper Number: SPE-199738-PA
Published: 10 September 2020
... 20 11 2019 24 2 2020 5 2 2020 10 9 2020 Copyright © 2020 Society of Petroleum Engineers Fig. 3 Left: time‐stamp‐wise accuracy. Right: flag‐wise accuracy. Table 2 Confusion matrix for the DL‐based labeling. machine learning Upstream Oil & Gas...

Product(s) added to cart

Close Modal