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Proceedings Papers

Production Forecast Using Produced Water Production for Wells Producing Tight/Shale Reservoirs

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Shaoyong Yu
Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, March 12–13, 2025
Paper Number: SPE-223981-MS
https://doi.org/10.2118/223981-MS
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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

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

Rate-Pseudopressure Deconvolution Enhances Rate-Time Models Production History Matches and Forecasts of Shale Gas Wells

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Leopoldo M. Ruiz Maraggi, Larry W. Lake, Mark P. Walsh
Paper presented at the SPE Canadian Energy Technology Conference, March 16–17, 2022
Paper Number: SPE-208967-MS
https://doi.org/10.2118/208967-MS
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View Paper titled, Rate-Pseudopressure Deconvolution Enhances Rate-Time Models Production History Matches and Forecasts of Shale Gas Wells
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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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