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Proceedings Papers

Mining a Liquid: Case Study for Resource Evaluation Methodology in a Confined Saline Aquifer, Bashaw District, Central Alberta, Canada

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K. Pugh, J. Kennedy, N. Morris, A. Haluszka, D. Abbey
Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218075-MS
https://doi.org/10.2118/218075-MS
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View Paper titled, Mining a Liquid: Case Study for Resource Evaluation Methodology in a Confined Saline Aquifer, Bashaw District, Central Alberta, Canada
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Proceedings Papers

A Quick Decline Method for Forecasting Multiple Wells Using Sparse Functional Principal Component Analysis

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H Hamdi, E Zirbes, C. R Clarkson
Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218078-MS
https://doi.org/10.2118/218078-MS
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View Paper titled, A Quick Decline Method for Forecasting Multiple Wells Using Sparse Functional Principal Component Analysis
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Proceedings Papers

Introducing a New Hybrid Data-Physics Architecture for Production Forecasting in Unconventional Wells

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R. Matoorian, M. Malaieri, R. Shor, R. Aguilera
Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 13–14, 2024
Paper Number: SPE-218111-MS
https://doi.org/10.2118/218111-MS
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View Paper titled, Introducing a New Hybrid Data-Physics Architecture for Production Forecasting in Unconventional Wells
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Proceedings Papers

Automated Production Forecasting Using a Novel Machine Learning Based Approach

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Kaustubh Shrivastava, Priyavrat Shukla, Raj Banerjee, Manas Koley
Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 15–16, 2023
Paper Number: SPE-212723-MS
https://doi.org/10.2118/212723-MS
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View Paper titled, Automated Production Forecasting Using a Novel Machine Learning Based Approach
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Proceedings Papers

Evaluation of Flow Units and Capillary Pressures of the Giant Chicontepec Tight Oil Paleochannel in Mexico and a Fresh Look at Drilling and Completions

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Alejandra Gutierrez Oseguera, Roberto Aguilera
Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 15–16, 2023
Paper Number: SPE-212745-MS
https://doi.org/10.2118/212745-MS
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View Paper titled, Evaluation of Flow Units and Capillary Pressures of the Giant Chicontepec Tight Oil Paleochannel in Mexico and a Fresh Look at Drilling and Completions
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Proceedings Papers

Using the FMB Model to Determine Which Wells Out of a Group of Wells Belong to the Same Common Pool

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S. Hamed Tabatabaie, Hamid Behmanesh, Louis Mattar
Paper presented at the SPE Canadian Energy Technology Conference, March 16–17, 2022
Paper Number: SPE-208944-MS
https://doi.org/10.2118/208944-MS
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View Paper titled, Using the FMB Model to Determine Which Wells Out of a Group of Wells Belong to the Same Common Pool
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Proceedings Papers

Multiscenario Development Planning by Means of the Digital Twin of the Petroleum Field

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Artur Aslanyan, Arkadiy Popov, Ivan Zhdanov, Evgeniy Pakhomov, Danila Gulyaev, Rushana Farakhova, Rodion Guss, Mariya Dementeva
Paper presented at the SPE Canadian Energy Technology Conference, March 16–17, 2022
Paper Number: SPE-208970-MS
https://doi.org/10.2118/208970-MS
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View Paper titled, Multiscenario Development Planning by Means of the Digital Twin of the Petroleum Field
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Proceedings Papers

Exploring Green Energy Applications in the Oil and Gas Industry

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Cenk Temizel, Cengiz Yegin, F. Bahar Hosgor, Hakki Aydin, Shah Kabir
Paper presented at the SPE Canadian Energy Technology Conference, March 16–17, 2022
Paper Number: SPE-208900-MS
https://doi.org/10.2118/208900-MS
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View Paper titled, Exploring Green Energy Applications in the Oil and Gas Industry
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Proceedings Papers

Statistical and Machine-Learning Methods Automate Multi-Segment Arps Decline Model Workflow to Forecast Production in Unconventional Reservoirs

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Himanshu Shekhar Jha, Aaditya Khanal, John Lee
Paper presented at the SPE Canadian Energy Technology Conference, March 16–17, 2022
Paper Number: SPE-208884-MS
https://doi.org/10.2118/208884-MS
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View Paper titled, Statistical and Machine-Learning Methods Automate Multi-Segment Arps Decline Model Workflow to Forecast Production in Unconventional Reservoirs
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Proceedings Papers

A Novel Procedure for Analyzing Production Decline in Unconventional Reservoirs Using Probability Density Functions

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Hamzeh Alimohammadi, Mehdi Sadeghi, Shengnan Nancy Chen
Paper presented at the SPE Canadian Energy Technology Conference, March 16–17, 2022
Paper Number: SPE-208909-MS
https://doi.org/10.2118/208909-MS
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View Paper titled, A Novel Procedure for Analyzing Production Decline in Unconventional Reservoirs Using Probability Density Functions
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