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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181015-MS
... Abstract Recent advances in search, machine learning, and natural language processing have made it possible to extract structured information from free text, providing a new and largely untapped source of insights for well and reservoir planning. However, there are major challenges involved...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181009-MS
... of impending problems well before they occur, for mitigation and prevention of ESP service interruptions. Artificial Intelligence ESP performance data mining principal component machine learning ESP operation operation predictive model impending problem dataset real time system variance...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181013-MS
... logic Artificial Intelligence artificial lift system Upstream Oil & Gas Change Point dimension event-driven prescriptive model variation alternative action prescriptive model machine learning frequency fuzzy number Well Parameter operation society of petroleum engineers prescriptive...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181001-MS
... trouble Artificial Intelligence artificial intelligent engine drilling engineer real time system Upstream Oil & Gas drilling data stand pipe pressure drilling real time data decoupled architecture time data machine learning real time data analytic database real time data analytic engine...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181116-MS
... and proactive intervention in oilfield operations and management. Artificial Intelligence intervention fuzzy logic machine learning oilfield Upstream Oil & Gas equipment health condition information algorithm application neural network society of petroleum engineers optimisation violation...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181104-MS
.... The resulting information is used to build models using regression analysis or machine learning. These models are updated in real time as new data enters the pipeline. In this fashion, the models are adjusted frequently to the operational situation, making up for their limited prediction capabilities compared...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181048-MS
... identified even in new facilities by utilizing other facilities LOC facts. Machine learning techniques coupled with rule-based systems and advanced visualization environments can not only determine an asset’s health, but also minimize labor intensive and error prone data comprehension and decision-making...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181103-MS
... to wells has improved the quality of subsurface models used for reservoir management. optimization problem well rate Drillstem Testing DWRE Artificial Intelligence drillstem/well testing machine learning Upstream Oil & Gas CWTA regularization parameter Saputelli real-time production...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181049-MS
... intelligence algorithms (which include genetic algorithms, artificial neural networks, Bayesian networks amongst others) in reservoir uncertainty modelling, which now points to a future of using more sophisticated machine learning systems for achieving reservoir models and parameters with higher confidence...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181024-MS
... factor for large datasets where application of other methods are limited due to requirement of high computational cost and time. recovery factor data mining reserves evaluation correlation database dimensionless variable dimensionless number application machine learning Upstream Oil...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181094-MS
..., the success of the capability deployed, called Gas Lift Optimization Workflows (GLOW™), required the use of diverse and more-than-capable library of techniques, algorithms, and methods that already exist in the fields of optimization, machine learning, signal processing, physical modeling, and numerical...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181079-MS
... curves. We compare results with conventional approaches and demonstrate benefits on synthetic production data. Artificial Intelligence median filter application estimation machine learning measurement noise outlier penalty Upstream Oil & Gas Decline analysis linear regression...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181025-MS
.... Completion Monitoring Systems/Intelligent Wells production monitoring Upstream Oil & Gas downhole sensor machine learning production logging information Reservoir Surveillance Simulation modeling formation property estimation production control Artificial Intelligence objective function...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181030-MS
... that could lead to further investigation. production control production forecasting production monitoring artificial lift system Reservoir Surveillance decline curve machine learning Artificial Intelligence detection Upstream Oil & Gas white noise Scada Information tertiary component...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181076-MS
... relational redundancy Sensor Reading hook load sensor algorithm drilling operation sensor fault validate machine learning specification North America data validation software software society of petroleum engineers Introduction It is suspected that drilling data quality has been...
Proceedings Papers

Paper presented at the SPE Intelligent Energy International Conference and Exhibition, September 6–8, 2016
Paper Number: SPE-181072-MS
... ranking of candidates with regard to technical and economic aspects. This paper describes the applied procedures and methods, like data analytics, machine learning and reasoning tools like Bayesian Belief Networks. The system additionally integrates petroleum engineering and knowledge discovery...
Proceedings Papers

Paper presented at the SPE Intelligent Energy Conference & Exhibition, April 1–3, 2014
Paper Number: SPE-167881-MS
... machine learning Artificial Intelligence production monitoring production control Upstream Oil & Gas flow rate Castillo functional network model multiphase production well normalized bottomhole pressure artificial neural network bottomhole pressure society of petroleum engineers field...
Proceedings Papers

Paper presented at the SPE Intelligent Energy Conference & Exhibition, April 1–3, 2014
Paper Number: SPE-167839-MS
... machine learning algorithms (e.g., semi-supervised learning, active learning) have been developed to tackle this challenge, and many of them have been successfully used for various applications in the past few years. In this paper, we will review the concepts and report our observations about...
Proceedings Papers

Paper presented at the SPE Intelligent Energy Conference & Exhibition, April 1–3, 2014
Paper Number: SPE-167823-MS
... intelligent operations are described, and several case studies of real applications of analytics are referenced. Artificial Intelligence optimization data mining information machine learning Pattern Recognition production process spe annual technical conference workflow operation predictive...
Proceedings Papers

Paper presented at the SPE Intelligent Energy Conference & Exhibition, April 1–3, 2014
Paper Number: SPE-167836-MS
... of a much more expensive tracer study and deliver these insights in a very short time and at a fraction of the expense. enhanced recovery Upstream Oil & Gas selection machine learning waterflooding injector producer gas injection method basket analysis variation production event...

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