Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020)

Application of Continuous Wavelet Transform to Layer Boundaries Detection from Gamma Ray Log

Authors
Arya Dwi Candra, Bambang Yudho Suranta, Sulistiyono, Nur L Maulidiyah, Andri Syafriya, Dessy Widya, Sungkono
Corresponding Author
Arya Dwi Candra
Available Online 11 August 2021.
DOI
https://doi.org/10.2991/aer.k.210810.036How to use a DOI?
Keywords
Layer boundary, Continuous Wavelet Transform, Log Gamma Ray, Mud Log, Talang Akar Formation, South Sumatra Basin
Abstract

Layer boundary analysis is an important process in determining the net pay value. Although the layer boundary can be determined manually through mud log data, it can also be determined automatically by signal analysis using wavelet transform. This analysis uses the gamma ray (GR) log data and the resistivity log. The type of wavelet used is Continuous Wavelet Transform (CWT). The CWT workflow begins with a blocking trace process to find inflection points in the GR log data and the resistivity log based on derivative analysis by convoluting the signal with the wavelet operator that matches the original frequency. Several parameters are required as input of the wavelet transform method such as number of layers detected and minimum thickness requirements which are 3 and 1. As for the input, the percentage of layer extract varies from 25%, 30% and 35%. The result of the comparison of layer boundaries from mud log data with CWT has the lowest difference in the yield of layer extract 35%. Where the results of the layer boundary on the mud log data on NP 1, NP 2, P 1, P 2 and P 3 wells are 155, 248, 29, 10 and 343, respectively, while the results of the bed boundary with 35% layers extract at NP 1, NP 2, P 1, P 2 and P 3 wells are 168, 192, 30, 11 and 312 layers, respectively. The big difference of layer number identification in the NP1, NP2 and P3 is presumably because the CWT algorithm does not involve thin layer analysis (less than 1 ft).

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020)
Series
Advances in Engineering Research
Publication Date
11 August 2021
ISBN
978-94-6239-416-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/aer.k.210810.036How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Arya Dwi Candra
AU  - Bambang Yudho Suranta
AU  - Sulistiyono
AU  - Nur L Maulidiyah
AU  - Andri Syafriya
AU  - Dessy Widya
AU  - Sungkono
PY  - 2021
DA  - 2021/08/11
TI  - Application of Continuous Wavelet Transform to Layer Boundaries Detection from Gamma Ray Log
BT  - Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020)
PB  - Atlantis Press
SP  - 215
EP  - 221
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.210810.036
DO  - https://doi.org/10.2991/aer.k.210810.036
ID  - Candra2021
ER  -