Intelligent identification of sequence stratigraphy constrained by multipopulation genetic algorithm and dynamic time warping technique: A case study of Lower Cretaceous Qingshuihe Formation in hinterland of Junggar Basin (NW China)-Reference-Cited by-同舟云学术

Intelligent identification of sequence stratigraphy constrained by multipopulation genetic algorithm and dynamic time warping technique: A case study of Lower Cretaceous Qingshuihe Formation in hinterland of Junggar Basin (NW China)

Published:2021-05-18 Issue:4 Volume:33 Page:2517-2544
ISSN:0950-091X
Container-title:Basin Research
language:en
Short-container-title:Basin Res

Author:

Shi Bingbing¹^ORCID,Chang Xiangchun¹²^ORCID,Liu Zhongquan³,Pang Yumao¹²^ORCID,Xu Youde³,Mao Lixin⁴^ORCID,Zhang Pengfei¹,Chen Guo¹

Affiliation:

1. College of Earth Science and Engineering Shandong University of Science and Technology Qingdao P.R. China

2. Laboratory for Marine Mineral Resources Pilot National Laboratory for Marine Science and Technology Qingdao P.R. China

3. Research Institute of Petroleum Exploration and Development Shengli Oil Company, Sinopec Dongying P.R. China

4. Jiangsu Design Institute of Geology for Mineral Resources Xuzhou P.R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Geology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bre.12567

Reference105 articles.

1. Mesozoic sporopollen assemblages and their stratigraphical significance in well Shimo‐1 of Junggar Basin;Aliya A.;Xinjiang Petroleum Geology,2018

2. A novel tool for designing well placements by combination of modified genetic algorithm and artificial neural network

3. A step toward the practical stratigraphic automatic correlation of well logs using continuous wavelet transform and dynamic time warping technique

4. Seismic detection and evaluation of delta and turbidite sequences: Their application to exploration for the subtle trap;Berg O. R.;AAPG Bulletin,1982

5. Berndt D. J. &Clifford J.(1994). Using dynamic time warping to find patterns in time series.Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining. AAAI Press Seattle WA pp.359–370.

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