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Proceedings Papers

Completion Optimization of Child Wells in a Depleted Environment, a Duvernay Example

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Giselle Garcia Ferrer, Majid Faskhoodi, Alexey Zhmodik, Qiuguo Li, Herman Mukisa
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199986-MS
https://doi.org/10.2118/199986-MS
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View Paper titled, Completion Optimization of Child Wells in a Depleted Environment, a Duvernay Example
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Proceedings Papers

Improved Refracturing Evaluation Workflow: An Integrated Methodology Incorporating Advanced Geomechanical Modeling

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Enric Ibáñez, Ricardo C. Bezerra de Melo, Yixin Wang, Yan Dong, José Alvarellos, M. R. Lakshmikantha, Christie Webb
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199997-MS
https://doi.org/10.2118/199997-MS
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View Paper titled, Improved Refracturing Evaluation Workflow: An Integrated Methodology Incorporating Advanced Geomechanical Modeling
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Proceedings Papers

Learning from Behavioral Frac Maps: A Montney Case Study in Integration of Modern Microseismic and Production Data Analyses

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Peyman Moradi, Doug Angus, Katie Jeziorski, Amanda Greig, Michael de Groot
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200021-MS
https://doi.org/10.2118/200021-MS
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View Paper titled, Learning from Behavioral Frac Maps: A Montney Case Study in Integration of Modern Microseismic and Production Data Analyses
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Proceedings Papers

Machine Learning Interpretability Application to Optimize Well Completion in Montney

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Yousef Sheikhi Garjan, Mehdi Ghaneezabadi
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200019-MS
https://doi.org/10.2118/200019-MS
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View Paper titled, Machine Learning Interpretability Application to Optimize Well Completion in Montney
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Proceedings Papers

Artificial Intelligence for Real-Time Monitoring of Fracture Driven Interactions and Simultaneous Completion Optimization

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Hayley Stephenson, Thomas Nguyen, Glen Murrell, Alireza Shahkarami, Rob Klenner
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199967-MS
https://doi.org/10.2118/199967-MS
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View Paper titled, Artificial Intelligence for Real-Time Monitoring of Fracture Driven Interactions and Simultaneous Completion Optimization
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Proceedings Papers

Unlocking Completion Design Optimization Using an Augmented AI Approach

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Zheren Ma, Ehsan Davani, Xiaodan Ma, Hanna Lee, Izzet Arslan, Xiang Zhai, Hamed Darabi, David Castineira
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200000-MS
https://doi.org/10.2118/200000-MS
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View Paper titled, Unlocking Completion Design Optimization Using an Augmented AI Approach
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Proceedings Papers

Quantitative Analysis of Inter-Well Communication in Tight Reservoirs: Examples from Montney Formation

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Behjat Haghshenas, Farhad Qanbari
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199991-MS
https://doi.org/10.2118/199991-MS
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View Paper titled, Quantitative Analysis of Inter-Well Communication in Tight Reservoirs: Examples from Montney Formation
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Proceedings Papers

Case Studies of Integrated Flowback Analysis: Examples from the Montney and Duvernay Formations

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Christopher R. Clarkson, Jesse Williams-Kovacs, Zhenzihao Zhang, Bin Yuan, Amin Ghanizadeh, Hamidreza Hamdi, Arshad Islam
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199968-MS
https://doi.org/10.2118/199968-MS
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View Paper titled, Case Studies of Integrated Flowback Analysis: Examples from the Montney and Duvernay Formations
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Proceedings Papers

Coupling Microseismic and Production Data Analysis to Optimize Well Spacing in Unconventional Reservoirs

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Irina Nizkous, Peyman Moradi, Doug Angus, Katie Bosman
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200009-MS
https://doi.org/10.2118/200009-MS
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View Paper titled, Coupling Microseismic and Production Data Analysis to Optimize Well Spacing in Unconventional Reservoirs
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Proceedings Papers

Can Wet Sand be Used for more than Building Sand Castles on the Beach?

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Brian Dorfman, Matt Oehler, Kevin Fisher, Ian Wilson
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199975-MS
https://doi.org/10.2118/199975-MS
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View Paper titled, Can Wet Sand be Used for more than Building Sand Castles on the Beach?
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Proceedings Papers

Identification and Remediation of High Water Cut Stages in Multi-Stage Hydraulically Fractured Wells: A Case Study in the Midale Formation

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John Jenkins, Charles Wrightson, Alexander Lafreniere, Matt Hogg
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199984-MS
https://doi.org/10.2118/199984-MS
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View Paper titled, Identification and Remediation of High Water Cut Stages in Multi-Stage Hydraulically Fractured Wells: A Case Study in the Midale Formation
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Proceedings Papers

An Integrated Field and Simulation Study to Understand the Role of Shut-in on a Montney Well Performance

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Taregh Soleiman Asl, Tamer Moussa, Obinna Ezulike, Hassan Dehghanpour
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199998-MS
https://doi.org/10.2118/199998-MS
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View Paper titled, An Integrated Field and Simulation Study to Understand the Role of Shut-in on a Montney Well Performance
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Proceedings Papers

Development of a Ball Seat Event Recognition Algorithm with Convolutional Neural Network for the Real-Time Hydraulic Fracturing Analytics System

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Yuchang Shen, Dingzhou Cao
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200003-MS
https://doi.org/10.2118/200003-MS
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View Paper titled, Development of a Ball Seat Event Recognition Algorithm with Convolutional Neural Network for the Real-Time Hydraulic Fracturing Analytics System
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Proceedings Papers

Analysis of Communicating Multi-Fractured Horizontal Well Production Data Using the Dynamic Drainage Area Concept

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Hossein Ahmadi, Christopher R. Clarkson, Hamidreza Hamdi, Hamid Behmanesh
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199987-MS
https://doi.org/10.2118/199987-MS
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View Paper titled, Analysis of Communicating Multi-Fractured Horizontal Well Production Data Using the Dynamic Drainage Area Concept
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Proceedings Papers

Estimation of Petrophysical Properties of Tight Rocks from Drill Cuttings Using Image Analysis: An Integrated Laboratory-Based Approach

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C. P. Vocke, H. J. Deglint, C. R. Clarkson, C. Debuhr, A. Ghanizadeh, S. Hazell, M. Bustin
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189825-MS
https://doi.org/10.2118/189825-MS
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View Paper titled, Estimation of Petrophysical Properties of Tight Rocks from Drill Cuttings Using Image Analysis: An Integrated Laboratory-Based Approach
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Proceedings Papers

Data-Based Smart Model for Real Time Liquid Loading Diagnostics in Marcellus Shale via Machine Learning

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Amir Ansari, Ebrahim Fathi, Fatemeh Belyadi, Ali Takbiri-Borujeni, Hoss Belyadi
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189808-MS
https://doi.org/10.2118/189808-MS
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View Paper titled, Data-Based Smart Model for Real Time Liquid Loading Diagnostics in Marcellus Shale via Machine Learning
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Proceedings Papers

Need for Speed: Data Analytics Coupled to Reservoir Characterization Fast Tracks Well Completion Optimization

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Piyush Pankaj, Steve Geetan, Richard MacDonald, Priyavrat Shukla, Abhishek Sharma, Samir Menasria, Tobias Judd
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189790-MS
https://doi.org/10.2118/189790-MS
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View Paper titled, Need for Speed: Data Analytics Coupled to Reservoir Characterization Fast Tracks Well Completion Optimization
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Proceedings Papers

Machine Learning Applied to Optimize Duvernay Well Performance

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Braden Bowie
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189823-MS
https://doi.org/10.2118/189823-MS
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View Paper titled, Machine Learning Applied to Optimize Duvernay Well Performance
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Proceedings Papers

Bayesian History-Matching and Probabilistic Forecasting for Tight and Shale Wells

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Hamidreza Hamdi, Mario Costa Sousa, Hamid Behmanesh
Paper presented at the SPE Unconventional Resources Conference, February 15–16, 2017
Paper Number: SPE-185082-MS
https://doi.org/10.2118/185082-MS
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View Paper titled, Bayesian History-Matching and Probabilistic Forecasting for Tight and Shale Wells
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Proceedings Papers

Asset Evaluation Utilizing Multi-Variate Statistics Integrating Data-Mining, Completion Optimization, and Geology Focused on Multi-Bench Shale Plays

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Abhishek Gaurav, Edward J. Gibbon, Timothy M. Roberson
Paper presented at the SPE Unconventional Resources Conference, February 15–16, 2017
Paper Number: SPE-185018-MS
https://doi.org/10.2118/185018-MS
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View Paper titled, Asset Evaluation Utilizing Multi-Variate Statistics Integrating Data-Mining, Completion Optimization, and Geology Focused on Multi-Bench Shale Plays
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