Reservoir lithology identification based on quantum vortex search algorithm and T-S fuzzy reasoning model

doi:10.13810/j.cnki.issn.1000-7210.2024.01.003

PDF(2057 KB)

Oil Geophysical Prospecting ›› 2024, Vol. 59 ›› Issue (1) : 23-30. DOI: 10.13810/j.cnki.issn.1000-7210.2024.01.003

INTELLIGENT GEOPHYSICAL TECHNIQUE

Reservoir lithology identification based on quantum vortex search algorithm and T-S fuzzy reasoning model

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

Abstract

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}}, 2024, 59(1): 23-30 https://doi.org/10.13810/j.cnki.issn.1000-7210.2024.01.003

References

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

References

Funding

RIGHTS & PERMISSIONS

PDF(2057 KB)

Accesses

Citation

Detail

Sections

Recommended

Received	Revised	Published
2023-04-12	2023-10-30	2024-02-15
Issue Date
2024-02-15

Please choose a citation manager

Content to export