Study on logging interpretation of coal-bed methane content based on deep learning-Reference-Cited by-同舟云学术

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Study on logging interpretation of coal-bed methane content based on deep learning

Published:2019-01-22 Issue:2 Volume:67 Page:589-596
ISSN:1895-6572
Container-title:Acta Geophysica
language:en
Short-container-title:Acta Geophys.

Author:

Zunu Parhat,Xiang Min,Zhang Fengwei

Funder

Natural Science Foundation of Xinjiang Province

Scientific Research Planning Project of Xinjiang Uygur Autonomous Region

Ph.D. Research Startup Foundation of the Xinjiang Institute of Engineering

Tianchi Doctor Research Project of Xinjiang Uygur Autonomous Region

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Link

http://link.springer.com/content/pdf/10.1007/s11600-019-00245-x.pdf

Reference22 articles.

1. Alipanahi B, Delong A (2015) Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning. Nat Biotechnol 33(8):831–838. https://doi.org/10.1038/nature14539

2. Bhanja AK, Srivastava OP (2008) A new approach to estimate CBM gas content from well logs. SPE115563:1–5. https://doi.org/10.2118/115563-ms

3. Deng L, Yu D (2014) Deep learning: methods and applications. Found Trends Signal Process 7(3):197–387. https://doi.org/10.1561/2000000039

4. Guo Y, Liu Y (2016) Deep learning for visual understanding: a review. Neurocomputing 187(C):27–48. https://doi.org/10.1016/j.neucom.2015.09.116

5. Hawkins JM, Schraufnagel RA, Olszewski AJ (1992) Estimating coalbed gas content and sorption isotherm using well log data. Phys Rev Lett 97(7):1143–1238. https://doi.org/10.2523/24905-MS

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting gas content in coalbed methane reservoirs using seismic waveform indication inversion: a case study from the Upper Carboniferous Benxi Formation, eastern Ordos Basin, China;Acta Geophysica;2022-03-03

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