Mr. Chao Ma Profile

Chao Ma

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

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

Read Abstract +

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.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years