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Acoustic Log Prediction on the Basis of Kernel Extreme Learning Machine for Wells in GJH Survey, Erdos Basin
Joint Authors
Wang, Dan
Cao, Jianhua
Shi, Yancui
Zhang, Xiankun
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
In petroleum exploration, the acoustic log (DT) is popularly used as an estimator to calculate formation porosity, to carry out petrophysical studies, or to participate in geological analysis and research (e.g., to map abnormal pore-fluid pressure).
But sometime it does not exist in those old wells drilled 20 years ago, either because of data loss or because of just being not recorded at that time.
Thus synthesizing the DT log becomes the necessary task for the researchers.
In this paper we propose using kernel extreme learning machine (KELM) to predict missing sonic (DT) logs when only common logs (e.g., natural gamma ray: GR, deep resistivity: REID, and bulk density: DEN) are available.
The common logs are set as predictors and the DT log is the target.
By using KELM, a prediction model is firstly created based on the experimental data and then confirmed and validated by blind-testing the results in wells containing both the predictors and the target (DT) values used in the supervised training.
Finally the optimal model is set up as a predictor.
A case study for wells in GJH survey from the Erdos Basin, about velocity inversion using the KELM-estimated DT values, is presented.
The results are promising and encouraging.
American Psychological Association (APA)
Cao, Jianhua& Shi, Yancui& Wang, Dan& Zhang, Xiankun. 2017. Acoustic Log Prediction on the Basis of Kernel Extreme Learning Machine for Wells in GJH Survey, Erdos Basin. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1175268
Modern Language Association (MLA)
Cao, Jianhua…[et al.]. Acoustic Log Prediction on the Basis of Kernel Extreme Learning Machine for Wells in GJH Survey, Erdos Basin. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1175268
American Medical Association (AMA)
Cao, Jianhua& Shi, Yancui& Wang, Dan& Zhang, Xiankun. Acoustic Log Prediction on the Basis of Kernel Extreme Learning Machine for Wells in GJH Survey, Erdos Basin. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1175268
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175268