Research on stratigraphic correlation method based on dynamic time bending distance algorithm

Authors

  • Zhenfei Li

DOI:

https://doi.org/10.54097/ije.v1i1.3427

Keywords:

Stratigraphic correlation, Dynamic time bending distance algorithm, Well logging curve

Abstract

Stratigraphic division and correlation are the basis of oil and gas exploration. With the increasing degree of oilfield encryption, the traditional artificial comparison method is difficult to meet the actual needs of oilfield development, and the comparison method of different people is also subjective and different problems, it is difficult to form a more scientific quantitative method. In this paper, the dynamic time-bending distance algorithm of curve similarity algorithm is used for stratigraphic correlation, and two constraint methods based on beam constraint and parallelogram constraint are used to improve the dynamic time-bending distance algorithm. The application of dynamic time-bending distance algorithm in formation correlation is verified by using the real logging data of Nan8 area of Daqing Oilfield. The experimental results show that the dynamic time-bending distance algorithm improves the efficiency of formation correlation and achieves a good formation correlation effect on the real logging curve.

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References

Geng Yaohui, Xu Shaohua, Liu Honglin. Application of pattern recognition in formation correlation of well logging curve [J]. Journal of Daqing Petroleum Institute,1995(04):34-37.

Wang Ping, Tang Lianwei, Ma Nan, ZANG Yuwei. A stratigraphic correlation method based on virtual well and multizone correlation [J]. Journal of Tianjin University, 2009, 42(08):744-751.

Gong Faming, Chen Tong, GONG Wenjuan, DOU Ruihua, ZHANG Xuena. Dynamic string matching algorithm in the application of stratigraphic correlation [J]. Journal of logging technology, 2017, 9 (01): 114-119. The DOI: 10.16489 / j.i SSN. 1004-1338.2017.01.020.

Wang Wei, Zhao Ya, Li Panchi. Study on stratigraphic correlation based on quantum neural network [J]. Journal of Guangdong University of Petrochemical Technology, 20, 30 (04): 32-36.

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Published

06-12-2022

Issue

Section

Articles

How to Cite

Li, Z. (2022). Research on stratigraphic correlation method based on dynamic time bending distance algorithm. International Journal of Energy, 1(1), 22-25. https://doi.org/10.54097/ije.v1i1.3427