Ms. Tianyu Huang Profile

Tianyu Huang

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Proceedings Article | 14 January 2023 Paper

Matching application of logging data based on DTW and its improved algorithm

Chunhua Zhou, Jun Feng, Tianyu Huang, Chao Ma

Proceedings Volume 12510, 125101H (2023) https://doi.org/10.1117/12.2656767

KEYWORDS: Geology, Detection and tracking algorithms, Computer programming, Head, Data acquisition, Calibration, Data mining, Algorithm development, Time metrology, Speech recognition

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For the geophysical logging data acquired in reality, in order to calibrate the acquired logging information, it is necessary to compare the acquired multiple logging time series data. DTW algorithm has great advantages in measuring the similarity of two time series data. However, there will be more data points "one to many" or "many to many", so the overall accuracy of curve alignment will be reduced. In order to solve this problem, this paper adopts an improved DTW algorithm. The DTW algorithm of segmented mode distance is used to correspond to the stratigraphic division. Based on DTW, the weight improvement algorithm is introduced to optimize the corresponding accuracy of the sequence and improve the matching accuracy of the corresponding points. The experimental results show that the DTW algorithm based on segmented pattern distance plays an important role in matching the changing trend of sequence features. Compared with WDTW and DTW, the accuracy of the TDTW algorithm is obviously improved, and the corresponding goal of optimizing logging data is achieved.

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