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Abstract

Summary

Globigerina limestone reservoir is a unique clastic carbonate that boasts outstanding porosity of up to 50%, with permeability ranging from 0.1mD to 500mD. Exploration wells encountered heterogenic reservoir quality from excellent (MBH-1) to poor (MBJ-1). To de-risk near-field prospects by avoiding poor reservoir quality, the integration of petrophysical evaluation and advanced seismic analysis was conducted.

The petrophysical evaluation provides reservoir properties such as Vclay, porosity, flow units, permeability, and water saturation to identify sweet-spot intervals. Advanced seismic analysis such as AI, SI, Vp/Vs, and Poisson’s ratio was generated to identify potential reservoirs and predict rock quality inside gas gas-bearing areas. The research is done by utilizing core data, wireline logs, and 3D seismic.

Results from this research, indicate that AI is powerful in identifying hydrocarbon potential areas surrounding the Bangau-3D seismic area. The second result is using a certain range of AI combined with elastic parameters can help to predict rock quality in certain prospects. Finally, the integration of reservoir characterization and advanced seismic analysis can help to distinguish the medium to the best quality of reservoir rock that should be used as a target for the exploration wells.

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/content/papers/10.3997/2214-4609.202471008
2024-01-30
2025-03-15
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References

  1. Amaefule, J.O.; Altunbay, M.; Tiab, D.; Kersey, D.G.; Keelan, D.K.Enhanced Reservoir Description: Using Core and Log Data to Identify Hydraulic (Flow) Units and Predict Permeability in Uncored Intervals/Wells. In Proceedings of the SPE Annual Technical Conference and Exhibition; Houston, 1993. pp. 1–16.
    [Google Scholar]
  2. Avseth, P.; Mukerji, T.; Mavko, G.Quantitative Seismic Interpretation. Applying Rock Physics to Reduce Interpretation Risk; Cambridge University Press: Cambridge, 2005. ISBN 0 521 81601 7
    [Google Scholar]
  3. Fatti, et al, 1994. Detection of gas in sandstone reservoirs using AVO analysis: A 3-D seismic case history using the Geostack technique.Geophysics, 59 (9), p. 1362–1376
    [Google Scholar]
  4. Hampson, D., and Russell, B., 2005. Simultaneous Inversion of Pre-Stack Seismic Data, CSEG National Convention, Canada.
    [Google Scholar]
  5. Himawan, H., Sumantri, I., Pahlevi, O.Y.Integration of Petrophysical Analysis and Elastic Log Properties as an Input to Optimize Development Wells Target in Unique Globigerina Limestone Gas Reservoir in Madura Strait.IAGI Journal, Volume 1 No.2, August: 55–70, e-ISSN 2776-0111, 2021. DOI: 10.51835/iagi.2021.1.2.31.
    https://doi.org/10.51835/iagi.2021.1.2.31 [Google Scholar]
  6. Sumantri, I., Pahlevi, O.Y., Himawan, H., Rowi, V., Han, K., 2021. Seismic Qualitative And Quantitative Analysis For Reservoir Characterization Of Globigerina BH Gas Field, North-east Java Basin, Indonesian Petroleum Association, 45th Annual Convention
    [Google Scholar]
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