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Keywords: Upstream Oil & Gas
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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208634-MS
... scientist project management communication knowledge machine learning upstream oil & gas engineer conclusion change management dataset domain knowledge practical experience data science strategic planning and management artificial intelligence collaboration domain expertise petroleum...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208638-MS
... element of acceptance in order to succeed. Proper onboarding and user acceptance is requisite to proper system configuration and performance. This paper sets forth guidelines that can be considered standard for initiating an AI drilling program. machine learning upstream oil & gas window size...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208642-MS
... a guide for the formation storage capacity and interpretation analysis. well logging drilling operation machine learning fuzzy logic log analysis neural network artificial intelligence upstream oil & gas abdulraheem accuracy drilling complex lithology prediction drilling data...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208646-MS
... operation artificial intelligence downhole torque value neural network correlation histogram plot 16-inch section drilling parameter torque ai model machine learning upstream oil & gas artificial neural network torque torque model drilling 25-inch section ai model neuron downhole torque...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208647-MS
..., and maximize the production of ESPs. This paper will highlight ADNOC's innovative approach to pilot new technology through successful deployment on 27 wells, spread onshore and offshore, in real-time, with prescriptive actions. united arab emirates government real time system upstream oil & gas...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208648-MS
... deep learning machine learning artificial intelligence upstream oil & gas machine learning methods flow rate production control flow metering data-driven method information production monitoring neural network accuracy vfm gryzlov scenario multiphase rate algorithm prediction...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208649-MS
... upstream oil & gas operating condition health signal artificial intelligence accuracy information esp workflow health monitoring natural language processing sme identification petroleum engineer operation algorithm Introduction Electrical Submersible Pump (ESP) systems efficiently...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208653-MS
... of hydrates hydrate inhibition production chemistry upstream oil & gas scale inhibition inhibitor accuracy pipeline pressure distribution distribution plot gas-hydrate formation algorithm plant extract predicted pressure value application predictive analysis wax inhibition neural network...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208657-MS
... models. machine learning reservoir simulation complex reservoir condensate reservoir nam con son basin accuracy application well ht-c transmissibility multiplier need lgr upstream oil & gas dynamic model decision tree classifier artificial intelligence history matching prediction...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208658-MS
.... log analysis constraint machine learning artificial intelligence data mining upstream oil & gas well logging initial rate similarity accuracy information content case study process variable production optimization dataset information algorithm cumulative production smoothness ai...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208661-MS
... at the pump intake. machine learning production control production monitoring production logging artificial intelligence vibration sensor esp operation flow metering calculation artificial lift system reservoir surveillance upstream oil & gas flow rate liquid flow rate gas content...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208662-MS
... optimization algorithm history matching reservoir simulation artificial intelligence upstream oil & gas rock compressibility -region application corey oil corey water owc-eqlnum reservoir simulation model satnum reservoir engineering assisted history matching wd-x Introduction...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208663-MS
... porosity measurements across the shale layers. This study shows a new workflow to predict shale layers in Carbonate reservoirs. The created pseudo CGR logs would help predict shale and is an added-value data that could be incorporated into the Earth model. well logging upstream oil & gas log...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208665-MS
... training image image quality upstream oil & gas high quality loss function petroleum engineer architecture Introduction The use of digital rock physics (DRP) has grown rapidly as a potential source of information about subsurface reservoir characteristics at the pore scale. Imaging high...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208667-MS
... upstream oil & gas viscosity functional form natural gas gas density dataset testing process statistical analysis ml model INTRODUCTION Natural Gas is one of the most vital compounds of the world's supply of energy sources in either industry expenditure or private consumption because...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208875-MS
... methods to make better impact and achieve the digital transformation of E&P business goals. artificial intelligence ai publication quantity publication machine learning kleijn-lloyd application cementation factor upstream oil & gas data scientist recommendation ai application...
Proceedings Papers

Paper presented at the SPE Intelligent Oil and Gas Symposium, May 9–10, 2017
Paper Number: SPE-187471-MS
... management Upstream Oil & Gas astutik application value chain fluid description eos Artificial Intelligence PVT measurement Simulation Implementation conversion diluent reservoir simulation Whitson simulator integration reservoir model reservoir processing facility...
Proceedings Papers

Paper presented at the SPE Intelligent Oil and Gas Symposium, May 9–10, 2017
Paper Number: SPE-187467-MS
... optimization solution is also discussed. The importance of the usability, user training and solution maintenance is highlighted. constraint Artificial Intelligence platform Upstream Oil & Gas operational constraint optimization problem multi-field asset optimization gas compressor production...
Proceedings Papers

Paper presented at the SPE Intelligent Oil and Gas Symposium, May 9–10, 2017
Paper Number: SPE-187472-MS
... intelligent method accident record formation pressure profile drilling risk probability profile risk interval probability equation Upstream Oil & Gas drilling risk credibility dangerous area drilling measurement LWD drilling fluid density formation pressure risk assessment formation...
Proceedings Papers

Paper presented at the SPE Intelligent Oil and Gas Symposium, May 9–10, 2017
Paper Number: SPE-187473-MS
... will be helpful for the oil and gas industries to know the production rates during the lifetime of the reservoir. shale matrix gas reservoir horizontal wellbore gas flow shale gas gas production pore fracture network Upstream Oil & Gas natural fracture pressure variation matrix block...

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