TY - GEN
T1 - Characterization of natural fracture on basement reservoir using the integration of ant tracking attribute, FMI log, and resistivity log at "pOME"field, Jambi sub basin
AU - Sekararum, Putri Allysha
AU - Rosid, M. Syamsu
N1 - Funding Information:
We want to thank the DRPM Universitas Indonesia for giving some financial support for publishing the study through the grant of PITTA 2019 No. NKB-0441/UN2.R3.1/HKP.05.00/2019.
Publisher Copyright:
© 2020 Author(s).
PY - 2020/4/6
Y1 - 2020/4/6
N2 - Fractured basement reservoir developed within the fresh basement. The fresh basement usually comprised of crystalline rocks, either metamorphic or igneous rock. This reservoir generally has fractures as its porosity to contain hydrocarbons. Indonesia has potential resources of fractured basement reservoirs, including the Jambi sub-Basin in the northern part of the South Sumatra Basin. Detecting fractures in the basement is not easy. In general, a seismic section has a low resolution for this target. In addition to a very deep basement position, the size of the structures itself is very small, and the massive rock lithology, all become a major constraint. In this study, we offer the 'ant tracking' attribute integrated with FMI image as well as the resistivity log to indicate the presence of fractures basement. The attribute is run three times and resulting in the images of fractures on 3D seismic data, which are dominated with NE-SW orientation and minor NW-SE orientation. Fracture orientation is confirmed by the FMI image of "POME-1" well that is aligned in a NE-SW direction. The high resistivity on the resistivity log indicates hydrocarbon content in the identified fractures.
AB - Fractured basement reservoir developed within the fresh basement. The fresh basement usually comprised of crystalline rocks, either metamorphic or igneous rock. This reservoir generally has fractures as its porosity to contain hydrocarbons. Indonesia has potential resources of fractured basement reservoirs, including the Jambi sub-Basin in the northern part of the South Sumatra Basin. Detecting fractures in the basement is not easy. In general, a seismic section has a low resolution for this target. In addition to a very deep basement position, the size of the structures itself is very small, and the massive rock lithology, all become a major constraint. In this study, we offer the 'ant tracking' attribute integrated with FMI image as well as the resistivity log to indicate the presence of fractures basement. The attribute is run three times and resulting in the images of fractures on 3D seismic data, which are dominated with NE-SW orientation and minor NW-SE orientation. Fracture orientation is confirmed by the FMI image of "POME-1" well that is aligned in a NE-SW direction. The high resistivity on the resistivity log indicates hydrocarbon content in the identified fractures.
UR - http://www.scopus.com/inward/record.url?scp=85083580753&partnerID=8YFLogxK
U2 - 10.1063/5.0002698
DO - 10.1063/5.0002698
M3 - Conference contribution
AN - SCOPUS:85083580753
T3 - AIP Conference Proceedings
BT - International Energy Conference, ASTECHNOVA 2019
A2 - Wardana, Awang Noor Indra
A2 - Purwono, Suryo
A2 - Liem, Peng Hong
PB - American Institute of Physics Inc.
T2 - 7th International Energy Conference, ASTECHNOVA 2019
Y2 - 30 October 2019 through 31 October 2019
ER -