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Proceedings Papers

Accelerating Optimization of Unconventional Fracturing Design with Multi-Component Subsurface Surveillance: A Case Study from the Permian Basin

James Cooper, Amit Singh, Lokendra Jain, Josh Haataja, Saken Galimzhanov, Mike Craven, Kristen Belcourt, Tyler Stom
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044437-MS
https://doi.org/10.15530/urtec-2024-4044437
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View Paper titled, Accelerating Optimization of Unconventional Fracturing Design with Multi-Component Subsurface Surveillance: A Case Study from the Permian Basin
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Proceedings Papers

Nondestructive testing for wellbore integrity with distributed acoustic sensing

Ivan Lim Chen Ning, Mike Craven, Timothy Tokar, Saptarshi Dasgupta, Paul Benet, Michael Merlino, Craig Feherty
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911738
https://doi.org/10.1190/image2023-3911738.1
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View Paper titled, Nondestructive testing for wellbore integrity with distributed acoustic sensing
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Proceedings Papers

Automation of passive seismic processing via machine learning and physics-informed methods

Ivan Lim Chen Ning, Laura Swafford, Mike Craven, Kevin Davies, Evan Earnest, Dean Thornton
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750116
https://doi.org/10.1190/image2022-3750116.1
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View Paper titled, Automation of passive seismic processing via machine learning and physics-informed methods
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Proceedings Papers

Noise analysis and ML denoising of DAS VSP data acquired from ESP lifted wells

Ge Zhan, Yao Zhao, Cheng Cheng, Josef Heim, Weihong Fei, Mike Craven, Scott Baker, Gilles Hennenfent
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750545
https://doi.org/10.1190/image2022-3750545.1
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View Paper titled, Noise analysis and ML denoising of DAS VSP data acquired from ESP lifted wells
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Proceedings Papers

Hydraulic Fracture Characterization by Integrating Multidisciplinary Data from the Hydraulic Fracturing Test Site 2 (HFTS-2)

Zhishuai Zhang, James DiSiena, Dimitri Bevc, Ivan Lim Chen Ning, Yunhui Tan, Laura Swafford, Mike Craven, Kelly Hughes, Andrea Vissotski
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5039-MS
https://doi.org/10.15530/urtec-2021-5039
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View Paper titled, Hydraulic Fracture Characterization by Integrating Multidisciplinary Data from the Hydraulic Fracturing Test Site 2 (HFTS-2)
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Proceedings Papers

DAS characterization of an unconventional shale reservoir using guided waves

Ariel Lellouch, Biondo Biondi, Mark A. Meadows, Mike Craven
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3406984
https://doi.org/10.1190/segam2020-3406984.1
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View Paper titled, DAS characterization of an unconventional shale reservoir using guided waves
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Proceedings Papers

Permian Basin case study — Part 2: Full-waveform probabilistic moment tensor inversion

Kaihong Wei, Chang Li, Mike Craven, Laura Swafford, Reynaldo Cardona, Eugene Jin
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3414547
https://doi.org/10.1190/segam2020-3414547.1
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View Paper titled, Permian Basin case study — Part 2: Full-waveform probabilistic moment tensor inversion
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Proceedings Papers

Optimizing the Completion of a Multilayer Cotton Valley Sand Using Hydraulic-Fracture Monitoring and Integrated Engineering

Jason Baihly, Andrew Coolidge, Steven Dutcher, Ruben Villarreal, Mike Craven, Keith Brook, Joël H. Le Calvez
Paper presented at the SPE Annual Technical Conference and Exhibition, November 11–14, 2007
Paper Number: SPE-110068-MS
https://doi.org/10.2118/110068-MS
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View Paper titled, Optimizing the Completion of a Multilayer Cotton Valley Sand Using Hydraulic-Fracture Monitoring and Integrated Engineering
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