TY - GEN
T1 - Application of geostatistical inversion for thin bed reservoir characterization on Eka field, Central Sumatra Basin, Indonesia
AU - Helfardi, S. A.
AU - Haris, A.
AU - Riyanto, A.
AU - Kurniawan, B.
N1 - Funding Information:
The authors would like to thank Universitas Indonesia for supporting this fund’s research PITTA Grant 2018 with contract number: 2215/UN2.R3.1/HKP.05.00/2018 and Kemenristekdikti. This research is a part of Final Thesis Research for Reservoir Geophysics Graduate Program in Universitas Indonesia. We would like to thank PT BOB BSP – Pertamina Hulu for supporting the data as well as the guidance to complete the research, and CGG Geosoftware ofr etJahson Software donation.
Publisher Copyright:
© 2018 Author(s).
PY - 2018/10/22
Y1 - 2018/10/22
N2 - Application of geostatistical inversion for Bekasap Formation's thin bed reservoir characterization on Eka field has been conducted. Eka field is located in Central Sumatra Basin, the largest Indonesia's tertiary sediment basin that consists of several potential formations producing hydrocarbons. Bekasap Formation is one of which divided into 3 reservoir zones (Bekasap A, B, and C). This paper aims to identify the thin layers of reservoir and to delineate its distribution within Bekasap Formation by performing two seismic inversion methods: Deterministic Inversion (DI) and Geostatistic Inversion (GI). DI is conventional method that uses fixed mathematic formulation and results only one model while GI is a simulation method honoring seismic data, DI result, and well log data. DI result showed the blocky event on sand distribution. The limitation of deterministic inversion in vertical resolution makes it hard to differentiate the thin bed layers of reservoir which assumes the layers as one thick body sand. DI cannot resolve the non-uniqueness matter. The GI results showed the separation of reservoir's blocky layers and identified them into several thin layers which thicknesses are below the tuning thickness. Cross plot analysis showed the Acoustic Impedance (AI) cannot distinguish lithology between sand and shale in Bekasap Formation. However, AI was quite good in separating sand and shale on Bekasap A and Bekasap B. The sand lithology has the value of acoustic impedance ranges from 18213 - 25043 g/cm3∗ft/s. The porous sand (reservoir) has additional parameter cut off which is porosity total, ranging from 0.2649 - 0.4136. GI resulted maps give a high definition imaging that can spot the distribution of the thin bed reservoirs which DI cannot. Eventually, the maps were used to determine the next well drilling location.
AB - Application of geostatistical inversion for Bekasap Formation's thin bed reservoir characterization on Eka field has been conducted. Eka field is located in Central Sumatra Basin, the largest Indonesia's tertiary sediment basin that consists of several potential formations producing hydrocarbons. Bekasap Formation is one of which divided into 3 reservoir zones (Bekasap A, B, and C). This paper aims to identify the thin layers of reservoir and to delineate its distribution within Bekasap Formation by performing two seismic inversion methods: Deterministic Inversion (DI) and Geostatistic Inversion (GI). DI is conventional method that uses fixed mathematic formulation and results only one model while GI is a simulation method honoring seismic data, DI result, and well log data. DI result showed the blocky event on sand distribution. The limitation of deterministic inversion in vertical resolution makes it hard to differentiate the thin bed layers of reservoir which assumes the layers as one thick body sand. DI cannot resolve the non-uniqueness matter. The GI results showed the separation of reservoir's blocky layers and identified them into several thin layers which thicknesses are below the tuning thickness. Cross plot analysis showed the Acoustic Impedance (AI) cannot distinguish lithology between sand and shale in Bekasap Formation. However, AI was quite good in separating sand and shale on Bekasap A and Bekasap B. The sand lithology has the value of acoustic impedance ranges from 18213 - 25043 g/cm3∗ft/s. The porous sand (reservoir) has additional parameter cut off which is porosity total, ranging from 0.2649 - 0.4136. GI resulted maps give a high definition imaging that can spot the distribution of the thin bed reservoirs which DI cannot. Eventually, the maps were used to determine the next well drilling location.
UR - http://www.scopus.com/inward/record.url?scp=85056107263&partnerID=8YFLogxK
U2 - 10.1063/1.5064262
DO - 10.1063/1.5064262
M3 - Conference contribution
AN - SCOPUS:85056107263
T3 - AIP Conference Proceedings
BT - Proceedings of the 3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
A2 - Yuniati, Ratna
A2 - Mart, Terry
A2 - Anggraningrum, Ivandini T.
A2 - Triyono, Djoko
A2 - Sugeng, Kiki A.
PB - American Institute of Physics Inc.
T2 - 3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
Y2 - 26 July 2017 through 27 July 2017
ER -