Výsledky vyhledávání - "Hayley Stephenson"

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

Autor: Alireza Shahkarami, Glen Murrell, Thomas Nguyen, Rob Klenner, Hayley Stephenson

Publikováno v: Day 3 Wed, September 30, 2020.

This paper builds on Klenner et al. 2018, which utilized machine learning to understand well-to-well communication ("Frac hits") or fracture-driven interaction (FDI) during hydraulic fracturing operations. This paper introduces an infrastructure that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c557d39585053ccccf306879b3c91133
https://doi.org/10.2118/199967-ms

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A Data-Driven Workflow and Case Study for Optimizing Shut in Strategies of Adjacent Wells During Multi-Stage Hydraulic Fracturing Operations

Autor: Hayley Stephenson, Alireza Shahkarami, Robert Klenner, Glen Murrell, Brice Y. Kim, Nithiwat Siripatrachai

Publikováno v: Proceedings of the 8th Unconventional Resources Technology Conference.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ea918277b380193d3d4e0b11028b85b1
https://doi.org/10.15530/urtec-2020-2753

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Accelerated Completion Optimization with Uncertainty Reduction Through Coupled Data and Physics Based Hybrid Models

Autor: Naresh Iyer, Nurali Virani, Glen Murrell, Hayley Stephenson, Alireza Shahkarami, Guoxiang Liu, Robert Klenner, Brian Chandler Barr

Publikováno v: Day 1 Tue, April 09, 2019.

Optimization problems, such as optimal well-spacing or completion design, can be resolved rapidly via surrogate proxy models, and these models can be built using either data-based or physics-based methods. Each approach has its strengths and weakness

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d820d2ff7bf6b153baa5531c162d1853
https://doi.org/10.2118/195238-ms

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Characterization of Fracture-Driven Interference and the Application of Machine Learning to Improve Operational Efficiency

Autor: Rob Klenner, Naresh Iyer, Anveshi Charuvaka, Nurali Virani, Hayley Stephenson, Guoxiang Liu, Glen Murrell

Publikováno v: Day 2 Thu, September 06, 2018.

Frac hits are a form of fracture-driven interference (FDI) that occur when newly drilled wells communicate with existing wells during completion, and which may negatively or positively affect production. An analytics and machine-learning approach is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::71189aef20df1f5708dc9f4761f80b05
https://doi.org/10.2118/191789-ms

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