TY - GEN
T1 - Gas field evaluation in "eD" field offshore Mahakam Delta, Kutai Basin using geostatistic inversion method compare to deterministic method
AU - Putri, Elsadella Nindya
AU - Rosid, Mohammad Syamsu
AU - Haryanto, Haryono
N1 - Funding Information:
We would like to thank PT Saka Energi Indonesia for permission to use the data and published to the conference. Many thanks as well to DRPM Universitas Indonesia for useful financial support of the publishing through 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 - Field "ED" is located in the offshore of Mahakam Delta, Kutai Basin. This field has two wells, namely D-1 and D-2, also 3-D seismic data post-stack, partial-stack seismic data, near and far. Based on well data, this field has thin reservoirs, which is limited by the D Upper and D Lower horizons. The reservoir is also quite heterogenic because of deltaic environment. With this field condition, the method that is considered appropriate for evaluating the Field "ED" is geostatistic inversion method where the method will produce more detailed picture because it uses a geostatistic approach and continuous simulation with a combination of SGS (Sequential Gaussian Simulation) and Bayesian methods. In other words, the purpose of this study is to characterize the reservoir in the interest zone and obtain the subsurface model by comparing the results of deterministic inversion and geostatistic inversion. The method is doing an acoustic impedance inversion with deterministic and geostatistic method. From the results of inversion, the sandstone and shale, with interbedded limestone are distributed in the interest zone. Also the geostatistic inversion result shows that the layers are thinner than the deterministic inversion result and it is closer to geological condition. In addition to inversion, fluid factor analysis is carried out by using partial-stack seismic data and there is strong amplitude in the interest zone which is indicating the presence of gas.
AB - Field "ED" is located in the offshore of Mahakam Delta, Kutai Basin. This field has two wells, namely D-1 and D-2, also 3-D seismic data post-stack, partial-stack seismic data, near and far. Based on well data, this field has thin reservoirs, which is limited by the D Upper and D Lower horizons. The reservoir is also quite heterogenic because of deltaic environment. With this field condition, the method that is considered appropriate for evaluating the Field "ED" is geostatistic inversion method where the method will produce more detailed picture because it uses a geostatistic approach and continuous simulation with a combination of SGS (Sequential Gaussian Simulation) and Bayesian methods. In other words, the purpose of this study is to characterize the reservoir in the interest zone and obtain the subsurface model by comparing the results of deterministic inversion and geostatistic inversion. The method is doing an acoustic impedance inversion with deterministic and geostatistic method. From the results of inversion, the sandstone and shale, with interbedded limestone are distributed in the interest zone. Also the geostatistic inversion result shows that the layers are thinner than the deterministic inversion result and it is closer to geological condition. In addition to inversion, fluid factor analysis is carried out by using partial-stack seismic data and there is strong amplitude in the interest zone which is indicating the presence of gas.
KW - Deterministic Inversion
KW - Gas Field
KW - Geostatistic Inversion
KW - Kutai Basin
KW - Mahakam Delta
UR - http://www.scopus.com/inward/record.url?scp=85083573466&partnerID=8YFLogxK
U2 - 10.1063/5.0001099
DO - 10.1063/5.0001099
M3 - Conference contribution
AN - SCOPUS:85083573466
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 -