Terumbu and Arang Formation Characterization by Using Model Based Seismic Inversion In The East Natuna Basin

Authors

  • Guntur Adham Syah Putra FMIPA University of Indonesia
  • Abdul Haris FMIPA University of Indonesia
  • Ricky Adi Wibowo FMIPA University of Indonesia
  • Edy Wijanarko Testing Center for Oil and Gas LEMIGAS

Keywords:

Reservoir characterization, Acoustic impedance, Model-based inversion, Carbonate reservoir, East Natuna Basin, Terumbu Formation, Arang Formation

Abstract

The East Natuna Basin is characterized by Miocene carbonate build-ups and fine-grained clastic sequences that form the primary reservoir and sealing intervals in the region. Within this framework, reservoir characterization of the Terumbu and Arang formations was conducted through the integration of petrophysical interpretation, sensitivity analysis, depth structure mapping, and model-based seismic inversion. Well-log analysis reveals distinct lithological contrasts between the two formations. The Terumbu carbonates exhibit very low gamma-ray values (18–24 API) and high porosity ranging from 28–37%, locally reaching 31% in the GANG-4 well. Pronounced neutron–density crossovers indicate gas-bearing intervals, particularly at depths of 6808–6831 ft and 6908–6941 ft in the GADO-3 well, where deep resistivity values increase significantly (852–1958 Ω·m). In contrast, the Arang Formation is characterized by high gamma-ray values (102–148 API), elevated clay volume (30–44%), and substantially lower porosity (<10%). P-impedance–density cross-plots show carbonate clusters within impedance values of 4500–10,000 g/cc·m/s and density ranges of 1.7–2.35 g/cc, whereas shale and shaly sand plot at higher impedance (9000–17,500 g/cc·m/s) and density (2.45–2.80 g/cc). Depth structure mapping identifies a central–northern structural high that favors reef development and fault-controlled trapping. Model-based seismic inversion highlights low-to-moderate impedance values (4100–6156 g/cc·m/s), low density (1.57–1.77 g/cc), and high inverted porosity (0.37–0.52, locally up to 0.70) within the upper Terumbu interval, confirming excellent reservoir quality. The deeper Arang interval exhibits increasing impedance and density with porosity below 11%, indicating poor reservoir potential.

References

Anselmetti et al., 1993, Control on Sonic Velocity in Carbonates, PAGEOPH Vol. 141 No 2/3/4, Birkhauser Verlag, Basel.

Anselmetti et al., 1997, Acoustic properties of Neogene carbonates and siliciclastics from the subsurface of the Florida Keys: implications for seismic reflectivity, Marine Geology 144 9-13, Elsevier Science B.V.

Anselmetti et al., 2003, Factor controlling elastic properties in carbonates sediments and rock, The Leading Edge, SEG, United States.

Ashraf. U. et al., 2022, Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin, Front. Earth Sci. 10:1014052. doi: 10.3389/feart.2022.1014052.

Asquith & Krygowski, 2004, Basic Well Log Analysis, The American Association of Petroleum Geologist, Oklahoma.

Assefa S. et al., 2003, Velocities of compressional and shear waves in limestone, Geophysical Prospecting 51, 1-13, European Association of Geoscientists Engineers.

Bashir Y. et al., 2021, Seismic expression of miocene carbonate platform and reservoir characterization through geophysical approach: application in central Luconia, offshore Malaysia, Journal of Petroleum Exploration and Production Technology (2021) 11:1533–1544.

Bashir Y. et al., 2024, Cohesive approach for determining porosity and P impedance in carbonate rocks using seismic attributes and inversion analysis, Journal of Petroleum Exploration and Production Technology (2024) 14:1173–1187.

Cakra. Y.I., 2021, Evaluating Oligocene Intra Platform Reef Carbonate Reservoir Potential Using Advance Model of Seismic Facies Analysis and Seismic Inversion A Case Study Barito Basin Indonesia, PROCEEDINGS JOINT CONVENTION BANDUNG (JCB) 2021.

Chopra & Marfut, 2007, Seismic Attributes for Prospect Identification and Reservoir Characterization, Society Of Exploration Geophysicits, Oklahoma.

Darman. H, 2017, Seismic Expression Of Key Geological Features In The East Natuna Basin, Berita Sedimentologi, Indonesia.

Durrani. M.Z.A et al., 2021, Characterization of carbonate reservoir using post-stack global geostatistical acoustic inversion approach: A case study from a mature gas field, onshore Pakistan, Journal of Applied Geophysics 188 (2021) 104313.

Dewan. J.T., 1983, Essential of Modern Open-Hole log Interpretation, PennWell Publishing Company, Oklahoma.

Dvorkin, J., et al., 2014, Seismic Reflections of Rock Properties. Cambridge Univ. Press. United States.

Ellis. D & Singer. J., 2007, Well Logging for Earth Scientists, Springer, Dordrecht Netherlands.

El-Sayed. A.S. et al., 2024, Utilizing post-stack seismic inversion for delineation of gas bearing sand in a pleistocene reservoir, baltim gas field, nile delta, Egypt, scientific reports, natureportofolio.

Espejel. R.L., et al, 2019, Distribution and growth styles of isolated carbonate platforms as a function of fault propagation, Marine and Petroleum Geology Volume 107, September 2019, Pages 484-507, Elsevier.

Falade. A.O. et al., 2024, Hydrocarbon prospective study using seismic inversion and rock physics in an offshore field, Niger Delta, Research Discover Geoscience, Discover.

Handoyo. H. et al., 2025, Reservoir Characterization of Ngrayong Formation, Sandstone with Carbonate Intercalation, Using a Geostatistical Approach Based on Petrophysical Parameters, Northeast Java Basin, Indonesia, Scientific Contributions Oil & Gas, Vol. 48. No. 3, LEMIGAS, Jakarta

Handoyo. H. et al., 2024, Characterization of Carbonate Reservoir Potential in Salawati Basin, West Papua: Analysis of Seismic Direct Hydrocarbon Indicator (DHI), Seismic Attributes, and Seismic Spectrum Decomposition, Indonesian Journal on Geoscience Vol. 11 No. 2 August 2024: 173-188.

Hendry. J. et al., 2021, Seismic Characterization of Carbonate Platforms and Reservoirs, Geological Society London Special Publications, 509,1–28, The Geological Society of London.

Hutchison. C., 2014, Tectonic evolution of Southeast Asia, Bulletin of the Geological Society of Malaysia, Volume 60 pp. 1-18, Malaysia.

Jammaludin. et all. 2026, Characterization Of Deltaic Source Rocks And Hydrocarbon Potential In The Lower Kutai Basin, Scientific Contributions Oil & Gas, Vol. 49. No. 1, LEMIGAS, Jakarta

Janjuhah. H.T. et al., 2021, Integrated Porosity Classification and Quantification Scheme for Enhanced Carbonate Reservoir Quality: Implications from the Miocene Malaysian Carbonates, Journal of Marine Science and Engineering, 9,1410, MDPI, Switzerland.

Johnson. A.B. & Cullen A.B., 2023, Continental rifting in the South China Sea through extension and high heat flow: An extended history, Gondwana Research 120 (2023) 235-263, Elsevier.

Kessler F. & Jong. J., 2016, The South China Sea: Sub-basins, Regional Unconformities and Uplift of the Peripheral Mountain Ranges since the Eocene, Berita Sedimentologi, Indonesia.

Koesoemadinata, R.P., 1980, Geologi Minyak dan Gas Bumi, Jilid 1, Institut Teknologi Bandung, Bandung.

Kuszpit W.K & Sowizdzal K., 2024, Integration of Well Logging and Seismic Data for the Prognosis of Reservoir Properties of Carbonates, Energies 2024, 17, 355, MDPI, Switzerland.

Larki E. et al., 2023, A new insight to access carbonate reservoir quality using quality factor and velocity deviation log, Acta Geophysica (2024) 72:3159–3178.

Lauwijaya W.S. et al., 2024, Integrated Reservoir Characterization in a Newly Discovered Area of the South Mahakam Cluster: Navigating Challenges and Opportunities, PIT IAGI BALIKPAPAN 2024.

Lindseth, R.O., 1979, Synthetic sonic logs-a process for stratigraphic interpretation, Geophysics Vol. 44 No 1 P. 3-26, 22 Figs, Society Of Exploration Geophysicits, Oklahoma.

Lucia. F., 2007, Carbonate Reservoir Characterization, Springer, Dordrecht Netherlands.

Mathew M., et al., 2020, The Emergence Of Miocene Reefs In South China Sea And Its Resilient Adaptability Under Varying Eustatic, Climatic And Oceanographic Conditions, Scientific Reports, natureresearch.

Mavko, G., Mukerji, T., & Dvorkin, J. ,2009, The Rock Physics Handbook, Cambridge Univ. Press. United States.

Mirshadi A. et al., 2024, Estimation of pore type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir, Journal of Petroleum Exploration and Production Technology (2024) 14:2379–2397. Springer.

Naseer M.T., et al., 2024, Seismic attributes and spectral decomposition-based inverted porosity-constrained simulations for appraisal of shallow-marine lower-Cretaceous sequences of Miano gas field, Southern Pakistan, Heliyon 10 (2024) e25907, Elsevier.

Pangastuti. Ni Putu Juliyant Ananda Rika., et al., 2025, Binio Formation Characterisation Using Seismic Acoustic Impedance Inversion in the Lotus Field of the Central Sumatra Basin, Scientific Contributions Oil & Gas, Vol. 48. No. 2, LEMIGAS, Jakarta

Pramudito D., et al., 2021, Enhancing Low-Frequency Model for Post-Stack Inversion using Geostatistics: A Case Study in Imaging Carbonate Structure, Jurnal Geofisika (2021) Vol. 19, No. 02 pp. 69-73, HAGI.

Rider, M., 1996, The Geological Interpretation of Well Logs, Rider-French Consulting Ltd, Scotland.

Rose et all., 2025, Telisa Formation Characterization Using Seismic Acoustic Impedance Inversion In The Akasia Area of The Central Sumatra Basin, Scientific Contributions Oil & Gas, Vol. 48. No. 2, August: 29 – 40, LEMIGAS, Jakarta

Russell. B., 1988, Introduction to Seismic Inversion Methods, Society Of Exploration Geophysicits, Oklahoma.

Salvini S., et al., 2023, Exploring the pore system of carbonate rocks through a multi analytical approach, Environmental Earth Sciences (2023) 82:564, Springer.

Schlumberger, 2016, Basic Well Log Interpretation. The Defining Series:.

Serra. O., 2003, Well Logging and Reservoir Evaluation, Technip, Paris.

Sheriff. R. & Geldart. L., 1995, Exploration Seismology, Cambridge Univ. Press. United States.

Su. Zhaodong., et al., 2023, Seismic prediction of porosity in tight reservoirs based on transformer, Frontiers in Earth Science. Frontiers.

Taqiy. Zalfadhiyaa Fariz., Utomo. Warto. et al. 2025, Karakterisasi Reservoar Berdasarkan Analisis Inversi Seismik Impedansi Akustik dan Multiatribut Seismik, Studi Kasus: Lapangan Bunyu Tapa, Cekungan Tarakan, Kalimantan Utara, Lembaran Publikasi Minyak dan Gas Bumi Vol. 59 No 3, LEMIGAS, Jakarta

Wadas S.H. & Hartmann H. V., 2022, Porosity estimation of a geothermal carbonate reservoir in the German Molasse Basin based on seismic amplitude inversion, Geothermal Energy 10:13.

Wang. Zi-Zhen., et al., 2021, Empirical rock physics relationships on carbonate dry frame elastic properties, Petroleum Science (2021) 18:783–806, Springer.

Weger. R. et all., 2009, Quantification of pore structure and its effect on sonic velocity and permeability in carbonates, AAPG Bulletin, v. 93, no. 10, The American Association of Petroleum Geologist, Oklahoma.

Wibowo. Rahmat Catur., et al., 2023, Analysis of Unconventional Oil and Gas Reservoirs using Well Logging, Geochemical and Seismic Data, Jurnal Geocelebes Vol. 7 No. 2. Departement of Geophysics Hasanuddin University. Makasar.

Wilson. M.E.J., 2011, SEAsian carbonates: tools for evaluating environmental and climatic change in equatorial tropics over the last 50 million years, Geological Society London Special Publications 2011, p344-372, The Geological Society of London, London.

Xu. Guoqiang & Haq B.U., et al., 2022, Seismic facies analysis: Past, present and future, Earth-Science Reviews Volume 224, January 2022, 103876. Elsevier.

Yang. Zhen., et al., 2024, Types and Evolution of the Miocene Reefs Based on Seismic Data in the Beikang Basin, South China Sea, Journal of Marine and Engineering 12,360, MDPI, Switzerland.

Zulivandama, S.R., Hermansyah, G.M. & Wijaksono, E., 2018, Aplikasi Metode Sweetness dan Spectral Decomposition untuk Identifikasi Awal Potensi Hidrokarbon di Perairan Utara Bali. Jurnal Geologi Kelautan.

Published

28-01-2026

Issue

Section

Articles