TY - JOUR
T1 - Syn-Rift sequence and depositional environment analysis using spectral decomposition in field "g" North West Java Basin
AU - Putri, G. E.
AU - Riyanto, A.
AU - Putra, P. R.
N1 - Funding Information:
I would like to extend my gratitude to PITTA 2018 Grant from Universitas Indonesia for funding the research and to Pertamina Upstream Technology Center for providing the data.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/7/28
Y1 - 2020/7/28
N2 - Study about depositional environments is one of the purposes of many researches which is done for academic and economic purposes in oil and gas exploration. This study needs enough comprehensive analysis to generate more detail interpretation. In this case we analyze syn-rift sequence framework, syn-rift depositional architecture, and its depositional system in Field "G" Talang Akar Formation (TAF), Ciputat, North West Java Basin. The ability to analyze seismic data in the frequency domain through spectral decomposition allows the user to extract additional geological information that may be missed by using more traditional methods, for instance amplitude extraction and attribute analysis. By using spectral decomposition as an enhanced seismic attribute, in correlation with more conventional interpretation methods through log data and seismic sections, it is possible to identify distributary channels that have previously been inferred from seismic reflection data. It is found that the best frequencies which can help well in interpreting the seismic is 25 Hz, 35 Hz and 45 Hz.
AB - Study about depositional environments is one of the purposes of many researches which is done for academic and economic purposes in oil and gas exploration. This study needs enough comprehensive analysis to generate more detail interpretation. In this case we analyze syn-rift sequence framework, syn-rift depositional architecture, and its depositional system in Field "G" Talang Akar Formation (TAF), Ciputat, North West Java Basin. The ability to analyze seismic data in the frequency domain through spectral decomposition allows the user to extract additional geological information that may be missed by using more traditional methods, for instance amplitude extraction and attribute analysis. By using spectral decomposition as an enhanced seismic attribute, in correlation with more conventional interpretation methods through log data and seismic sections, it is possible to identify distributary channels that have previously been inferred from seismic reflection data. It is found that the best frequencies which can help well in interpreting the seismic is 25 Hz, 35 Hz and 45 Hz.
KW - depositional environments
KW - frequency
KW - spectral decomposition
KW - Syn-rift
UR - http://www.scopus.com/inward/record.url?scp=85090047898&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/538/1/012040
DO - 10.1088/1755-1315/538/1/012040
M3 - Conference article
AN - SCOPUS:85090047898
VL - 538
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
SN - 1755-1307
IS - 1
M1 - 012040
T2 - 3rd Life and Environmental Sciences Academics Forum, LEAF 2019
Y2 - 11 July 2019
ER -