Evaluation and prediction of Sulige Gas Field southern area based on Multilayer Perceptron neural networks of NMR logging data

TIAN Shiwei

Mud Logging Engineering ›› 2020, Vol. 31 ›› Issue (3) : 43-48.

PDF(2094 KB)
PDF(2094 KB)
Mud Logging Engineering ›› 2020, Vol. 31 ›› Issue (3) : 43-48. DOI: 10.3969/j.issn.1672-9803.2020.03.008
TECHNOLOGY

Evaluation and prediction of Sulige Gas Field southern area based on Multilayer Perceptron neural networks of NMR logging data

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2020, 31(3): 43-48 https://doi.org/10.3969/j.issn.1672-9803.2020.03.008

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(2094 KB)

Accesses

Citation

Detail
Sections
Recommended

津ICP备2022007892号-1
Copyright © Mud Logging Engineering, All Rights Reserved.
Address: No. 3 Courtyard, Dagang Oilfield, Binhai New Area, Tianjin,China　
Postcode:214126　
Tel: (022)25921389,25978857,25921393,25921391　
E-mail：ljgc@cnpc.com.cn;ljjs@cnpc.com.cn
Powered by Beijing Magtech Co. Ltd.

/

〈 〉