Výsledky vyhledávání - "A. T. Colwell"

Theory-Guided Deep Learning for Reservoir Characterization

Autor: O. Collet, T. Colwell, J. Downton, D. Hampson

Publikováno v: 82nd EAGE Annual Conference & Exhibition.

Summary Deep Neural Networks (DNNs) are used to predict reservoir properties from well and seismic data. Log properties from the well data serve as the targets while the seismic data serve as the input features. These DNNs require big data. In the re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d7b488cd6ff46ae68adce4f416ea70c
https://doi.org/10.3997/2214-4609.202011797

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Theory-guided data science-based for Reservoir Characterization

Autor: J. Downton, T. Colwell, O. Collet

Publikováno v: First EAGE Conference on Machine Learning in Americas.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e31aa1a36206506ee7bccd2ff93837ff
https://doi.org/10.3997/2214-4609.202084013

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Rock-physics based Augmented Machine Learning for Reservoir Characterization

Autor: O. Collet, J. Downton, T. Colwell

Publikováno v: EAGE Subsurface Intelligence Workshop.

Summary The challenge in adopting neural networks in the geosciences is the relative scarcity of labeled training data. This presentation demonstrates an approach to augment the amount of data used to train the neural network. Rock Physics theory is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a473d8b0294234abf29f38e3f6f0ec3a
https://doi.org/10.3997/2214-4609.2019x610102

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Comparative Study Of Deep Feed Forward Neural Network Application For Seismic Reservoir Characterization

Autor: T. Colwell, Ø. Kjøsnes

Publikováno v: Proceedings.

Machine learning has been gaining momentum thanks to a new powerful technique called deep learning (Bengio, 2016). These improvements are due to increasing the depth of neural networks to more than one hidden layer. This study uses a Deep Feed-forwar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8695d72a30d46d095a3f0d6cd94f6d48
https://doi.org/10.3997/2214-4609.201803009

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Overheating and Frequent Thermal Cycling of Outdoor Electronic Cabinets in Cold Climates

Autor: Hisham Hegab, Eric B. Zimmerman, Gene T. Colwell

Publikováno v: Journal of Electronic Packaging. 121:50-54

Telephone companies use electronics to route calls between customers. The electronics are generally closely packed together and placed in steel containers outdoors. Forced air convection utilizing the outside ambient air is an effective means to cool

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::936e89d4c28fbbde5ef298cc67e29f71
https://doi.org/10.1115/1.2792661

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