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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218116-MS
.... This study aims to 1) develop predictive machine learning models for indirect estimation of mineralogical compositions from elemental compositions, 2) compare mineralogical compositions obtained from data-driven and chemistry-based approaches, and 3) provide practical recommendations for fine-tuning...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218115-MS
... Abstract Recently, the machine learning approach has been used to forecast tight gas production from unconventional resources. However, the performance of machine learning-based predictive models has not been successful with respect to actual field production. The poor performance has been...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218111-MS
... Abstract This research presents a new architecture and implementation to overcome inherent challenges in leveraging machine learning ( ML ) for evaluating production performance in unconventional wells. By implementing a hybrid data-physics architecture ( HDP ), our goal is to effectively...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218043-MS
... and constraints faster, thereby reducing the time to analyze and diagnose events contributing to well underperformance and reducing the overall time for field engineers to act. Combining industry expertise with data science techniques and machine learning, a series of workflows were constructed to detect well...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218028-MS
... fluctuations and improved production efficiency. gas lift evolutionary algorithm fluctuation injection machine learning chromosome optimization problem artificial lift system deviation efficiency operation solution injection interference objective intermittent gas lift well artificial...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218059-MS
... geology social responsibility enhanced recovery prediction machine learning chalaturnyk clastic rock subsurface storage artificial intelligence chemical flooding methods rangriz shokri saline aquifer society sustainability saturation storage operation deep saline aquifer system...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218029-MS
... physics knowledge into neural networks, compensating for data scarcity and enhancing predictive robustness. The method is validated through statistical analysis, feature selection, and cross-validation, demonstrating its superior performance compared to conventional Machine Learning (ML) models like...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218078-MS
... intelligence machine learning sparse fpca acronym forecast complex reservoir dca calgary covariance well presented representativeness reservoir surveillance ensemble history analysis application Introduction The ability to effectively perform production forecasting is critical for oil...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218105-MS
... fracture conductivity neuron mask sequence gru algorithm complex reservoir shale gas machine learning optimization forecast journal hydraulically fractured shale gas well wellbore learning algorithm Introduction Shale gas plays a crucial role in the global oil and gas resources...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218125-MS
... to maximize productivity and reduce the ESP failure event. A smart digital system was installed and equipped with trained artificial intelligence and machine learning (AI/ML) to predict a catalog of undesired and critical events and suggest potential actions, to reduce the time of action and avoid production...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218124-MS
... petroleum play type artificial intelligence unconventional play machine learning data mining module heavy oil play artificial lift system sop geology esp operation production engineer esp information electric submersible pump failure workflow esp explorer firebag information shaft...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218050-MS
... assessment well logging sustainable development machine learning social responsibility risk management log analysis reservoir geomechanics flow in porous media artificial intelligence enhanced recovery reservoir characterization subsurface storage modeling & simulation co 2 chemical...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 15–16, 2023
Paper Number: SPE-212753-MS
... autonomous control logic and real-time alerts, allows for better data granularity and optimization of well production and operations. artificial intelligence steam-assisted gravity drainage machine learning canada government upstream oil & gas enhanced recovery thermal method real time...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 15–16, 2023
Paper Number: SPE-212789-MS
... steam rate. upstream oil & gas artificial intelligence thermal method bitumen operation canada government firebag sagd machine learning injection sagd operation simulation wor sor steam-assisted gravity drainage suncor enhanced recovery optimization reservoir ncg co...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 15–16, 2023
Paper Number: SPE-212812-MS
... reservoir simulation icd reservoir surveillance flow control equipment reservoir characterization enhanced recovery machine learning production logging artificial intelligence production control upstream oil & gas flow in porous media modeling & simulation production monitoring...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 15–16, 2023
Paper Number: SPE-212799-MS
... intelligence oil sand canada government pooladi-darvish ga reservoir interpretation climate change permeability saturation aer flow in porous media enhanced recovery machine learning alberta climate change canada kirby gas field Introduction On the road to the global energy transition...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 15–16, 2023
Paper Number: SPE-212790-MS
... in saline aquifer. structural geology subsurface storage united kingdom government artificial intelligence asia government modeling & simulation machine learning enhanced recovery solubility canada government upstream oil & gas complex reservoir north america government reservoir...
Proceedings Papers

Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 15–16, 2023
Paper Number: SPE-212804-MS
.... Detailed full-field geological and numerical simulation modelling can be prohibitively expensive in the initial project scoping stage. Here we present an alternative data-driven approach to assist in early-stage CO 2 sequestration project scoping. A developed machine learning model ties geological...

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