Total organic carbon prediction of well logs data: Case study Banuwati Shale Member Fm., Asri Basin, Indonesia

Abdul Basyir; Andang Bachtiar; Abdul Haris

doi:10.1063/5.0014651

Total organic carbon prediction of well logs data: Case study Banuwati Shale Member Fm., Asri Basin, Indonesia

Abdul Basyir, Andang Bachtiar, Abdul Haris

Department of Geosciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

TOC is one of the crucial parameter for determine potencial zone of shale hydrocarbon play. TOC can be measured on the core rock but this data is limited. Schmoker - Hester method and Passey method is two of the most popular method to predict TOC value. These methods are determined from TOC data of marine and pre-tertiary shale rock in United States and Canada. Meanwhile, shale rock in Indonesia (mainly in Western Indonesia) is originated from lacustrine depositional environment and tertiary aged. So generally, shale rock (as source rock) in Western Indonesia has a different characteristic with shale in United States and Canada. This paper tried compare the result of TOC prediction by Schmoker - Hester method, Passey method, and Multi Linear Regression (MLR) method. The results show that the three methods have the same trend in TOC prediction curve, but the regression values are not the same. The TOC prediction has validated by TOC measurement of Rock Evaluation Instruments (core data). This research shows that MLR method gives the better TOC prediction than Schmoker-Hester method and Passey method. It is case study in Banuwati Shale Member Formation, Asri Basin, Indonesia.

Original language	English
Title of host publication	Proceedings of the 5th International Symposium on Frontier of Applied Physics, ISFAP 2019
Editors	Muhandis Shiddiq, Andri Hardiansyah, Witha Berlian Kesuma Putri, Yuliati Herbani, Edi Kurniawan, Deni Khaerudini, Ahmad Nugraha, Syuhada Syuhada, Hamzah Fauzi, Abdulloh Rifai, Edi Suprayoga, Anggito Tetuko, Toto Sudiro
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735420168
DOIs	https://doi.org/10.1063/5.0014651
Publication status	Published - 3 Sept 2020
Event	5th International Symposium on Frontier of Applied Physics, ISFAP 2019 - Tangerang Selatan, Indonesia Duration: 23 Oct 2019 → 24 Oct 2019

Publication series

Name	AIP Conference Proceedings
Volume	2256
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	5th International Symposium on Frontier of Applied Physics, ISFAP 2019
Country/Territory	Indonesia
City	Tangerang Selatan
Period	23/10/19 → 24/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1063/5.0014651

Cite this

Basyir, A., Bachtiar, A., & Haris, A. (2020). Total organic carbon prediction of well logs data: Case study Banuwati Shale Member Fm., Asri Basin, Indonesia. In M. Shiddiq, A. Hardiansyah, W. B. K. Putri, Y. Herbani, E. Kurniawan, D. Khaerudini, A. Nugraha, S. Syuhada, H. Fauzi, A. Rifai, E. Suprayoga, A. Tetuko, & T. Sudiro (Eds.), Proceedings of the 5th International Symposium on Frontier of Applied Physics, ISFAP 2019 [090006] (AIP Conference Proceedings; Vol. 2256). American Institute of Physics Inc.. https://doi.org/10.1063/5.0014651

Basyir, Abdul ; Bachtiar, Andang ; Haris, Abdul. / Total organic carbon prediction of well logs data : Case study Banuwati Shale Member Fm., Asri Basin, Indonesia. Proceedings of the 5th International Symposium on Frontier of Applied Physics, ISFAP 2019. editor / Muhandis Shiddiq ; Andri Hardiansyah ; Witha Berlian Kesuma Putri ; Yuliati Herbani ; Edi Kurniawan ; Deni Khaerudini ; Ahmad Nugraha ; Syuhada Syuhada ; Hamzah Fauzi ; Abdulloh Rifai ; Edi Suprayoga ; Anggito Tetuko ; Toto Sudiro. American Institute of Physics Inc., 2020. (AIP Conference Proceedings).

@inproceedings{bd73517d1b25434996d29e9a40588e5f,

title = "Total organic carbon prediction of well logs data: Case study Banuwati Shale Member Fm., Asri Basin, Indonesia",

abstract = "TOC is one of the crucial parameter for determine potencial zone of shale hydrocarbon play. TOC can be measured on the core rock but this data is limited. Schmoker - Hester method and Passey method is two of the most popular method to predict TOC value. These methods are determined from TOC data of marine and pre-tertiary shale rock in United States and Canada. Meanwhile, shale rock in Indonesia (mainly in Western Indonesia) is originated from lacustrine depositional environment and tertiary aged. So generally, shale rock (as source rock) in Western Indonesia has a different characteristic with shale in United States and Canada. This paper tried compare the result of TOC prediction by Schmoker - Hester method, Passey method, and Multi Linear Regression (MLR) method. The results show that the three methods have the same trend in TOC prediction curve, but the regression values are not the same. The TOC prediction has validated by TOC measurement of Rock Evaluation Instruments (core data). This research shows that MLR method gives the better TOC prediction than Schmoker-Hester method and Passey method. It is case study in Banuwati Shale Member Formation, Asri Basin, Indonesia. ",

author = "Abdul Basyir and Andang Bachtiar and Abdul Haris",

note = "Funding Information: The researcher would like to thank to the University of Indonesia, CNOOC SES Ltd., and Research Center for Physics - Indonesian Institute of Sciences which has facilitated tools and materials, work station, test equipment, provides moral and fund support for the implementation of this research. Publisher Copyright: {\textcopyright} 2020 Author(s).; 5th International Symposium on Frontier of Applied Physics, ISFAP 2019 ; Conference date: 23-10-2019 Through 24-10-2019",

year = "2020",

month = sep,

day = "3",

doi = "10.1063/5.0014651",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Muhandis Shiddiq and Andri Hardiansyah and Putri, {Witha Berlian Kesuma} and Yuliati Herbani and Edi Kurniawan and Deni Khaerudini and Ahmad Nugraha and Syuhada Syuhada and Hamzah Fauzi and Abdulloh Rifai and Edi Suprayoga and Anggito Tetuko and Toto Sudiro",

booktitle = "Proceedings of the 5th International Symposium on Frontier of Applied Physics, ISFAP 2019",

}

Basyir, A, Bachtiar, A & Haris, A 2020, Total organic carbon prediction of well logs data: Case study Banuwati Shale Member Fm., Asri Basin, Indonesia. in M Shiddiq, A Hardiansyah, WBK Putri, Y Herbani, E Kurniawan, D Khaerudini, A Nugraha, S Syuhada, H Fauzi, A Rifai, E Suprayoga, A Tetuko & T Sudiro (eds), Proceedings of the 5th International Symposium on Frontier of Applied Physics, ISFAP 2019., 090006, AIP Conference Proceedings, vol. 2256, American Institute of Physics Inc., 5th International Symposium on Frontier of Applied Physics, ISFAP 2019, Tangerang Selatan, Indonesia, 23/10/19. https://doi.org/10.1063/5.0014651

Total organic carbon prediction of well logs data : Case study Banuwati Shale Member Fm., Asri Basin, Indonesia. / Basyir, Abdul; Bachtiar, Andang; Haris, Abdul.

Proceedings of the 5th International Symposium on Frontier of Applied Physics, ISFAP 2019. ed. / Muhandis Shiddiq; Andri Hardiansyah; Witha Berlian Kesuma Putri; Yuliati Herbani; Edi Kurniawan; Deni Khaerudini; Ahmad Nugraha; Syuhada Syuhada; Hamzah Fauzi; Abdulloh Rifai; Edi Suprayoga; Anggito Tetuko; Toto Sudiro. American Institute of Physics Inc., 2020. 090006 (AIP Conference Proceedings; Vol. 2256).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Total organic carbon prediction of well logs data

T2 - 5th International Symposium on Frontier of Applied Physics, ISFAP 2019

AU - Basyir, Abdul

AU - Bachtiar, Andang

AU - Haris, Abdul

N1 - Funding Information: The researcher would like to thank to the University of Indonesia, CNOOC SES Ltd., and Research Center for Physics - Indonesian Institute of Sciences which has facilitated tools and materials, work station, test equipment, provides moral and fund support for the implementation of this research. Publisher Copyright: © 2020 Author(s).

PY - 2020/9/3

Y1 - 2020/9/3

N2 - TOC is one of the crucial parameter for determine potencial zone of shale hydrocarbon play. TOC can be measured on the core rock but this data is limited. Schmoker - Hester method and Passey method is two of the most popular method to predict TOC value. These methods are determined from TOC data of marine and pre-tertiary shale rock in United States and Canada. Meanwhile, shale rock in Indonesia (mainly in Western Indonesia) is originated from lacustrine depositional environment and tertiary aged. So generally, shale rock (as source rock) in Western Indonesia has a different characteristic with shale in United States and Canada. This paper tried compare the result of TOC prediction by Schmoker - Hester method, Passey method, and Multi Linear Regression (MLR) method. The results show that the three methods have the same trend in TOC prediction curve, but the regression values are not the same. The TOC prediction has validated by TOC measurement of Rock Evaluation Instruments (core data). This research shows that MLR method gives the better TOC prediction than Schmoker-Hester method and Passey method. It is case study in Banuwati Shale Member Formation, Asri Basin, Indonesia.

AB - TOC is one of the crucial parameter for determine potencial zone of shale hydrocarbon play. TOC can be measured on the core rock but this data is limited. Schmoker - Hester method and Passey method is two of the most popular method to predict TOC value. These methods are determined from TOC data of marine and pre-tertiary shale rock in United States and Canada. Meanwhile, shale rock in Indonesia (mainly in Western Indonesia) is originated from lacustrine depositional environment and tertiary aged. So generally, shale rock (as source rock) in Western Indonesia has a different characteristic with shale in United States and Canada. This paper tried compare the result of TOC prediction by Schmoker - Hester method, Passey method, and Multi Linear Regression (MLR) method. The results show that the three methods have the same trend in TOC prediction curve, but the regression values are not the same. The TOC prediction has validated by TOC measurement of Rock Evaluation Instruments (core data). This research shows that MLR method gives the better TOC prediction than Schmoker-Hester method and Passey method. It is case study in Banuwati Shale Member Formation, Asri Basin, Indonesia.

UR - http://www.scopus.com/inward/record.url?scp=85091925947&partnerID=8YFLogxK

U2 - 10.1063/5.0014651

DO - 10.1063/5.0014651

M3 - Conference contribution

AN - SCOPUS:85091925947

T3 - AIP Conference Proceedings

BT - Proceedings of the 5th International Symposium on Frontier of Applied Physics, ISFAP 2019

A2 - Shiddiq, Muhandis

A2 - Hardiansyah, Andri

A2 - Putri, Witha Berlian Kesuma

A2 - Herbani, Yuliati

A2 - Kurniawan, Edi

A2 - Khaerudini, Deni

A2 - Nugraha, Ahmad

A2 - Syuhada, Syuhada

A2 - Fauzi, Hamzah

A2 - Rifai, Abdulloh

A2 - Suprayoga, Edi

A2 - Tetuko, Anggito

A2 - Sudiro, Toto

PB - American Institute of Physics Inc.

Y2 - 23 October 2019 through 24 October 2019

ER -

Basyir A, Bachtiar A, Haris A. Total organic carbon prediction of well logs data: Case study Banuwati Shale Member Fm., Asri Basin, Indonesia. In Shiddiq M, Hardiansyah A, Putri WBK, Herbani Y, Kurniawan E, Khaerudini D, Nugraha A, Syuhada S, Fauzi H, Rifai A, Suprayoga E, Tetuko A, Sudiro T, editors, Proceedings of the 5th International Symposium on Frontier of Applied Physics, ISFAP 2019. American Institute of Physics Inc. 2020. 090006. (AIP Conference Proceedings). doi: 10.1063/5.0014651

Total organic carbon prediction of well logs data: Case study Banuwati Shale Member Fm., Asri Basin, Indonesia

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this