Rock Physics Modelling for Estimating the Quality of Reservoir Tight Sand in Bintuni Basin, West Papua, Indonesia

  • Dona Sita Ambarsari ITB
  • S. Winardhi Teknik Geosika, Fakultas Teknik Pertambangan dan Perminyakan, Institut Teknologi Bandung, Jalan Ganesa No 10, Bandung, 40132


Permeability is a key to determine the quality of reservoir. Reservoir quality can be dened as the ratio between permeability and porosity of a rock. Besides, permeability is not in uenced by porosity solely, there are other
factors which aect the value of the permeability of a rock. One of them is aected by the pore structure, which includes turtuosity, surface area, and grain size. To determine how much these factors aect the permeability of a rock, it takes an elastic parameters that can be an indicator of the quality reservoir e.g pore space stiness and critical porosity.Primary data such as petrophysics, XRD data, and permeability are used as input data to determine the quality of reservoir. By using Zimmerman's equation and Nur's model, we will get the value of pore space stiness and critical porosity at each point. The combination of rock quality equation derived from Kozeny Carman's with elastic parameters as indicators produces qualitative rock quality identification. Results of this study is able to show that the pore space stiffness and critical porosity can represent turtuosity, surface area, and grain size of a rock which lead to the determination of rock quality. The method proposed in the present study demonstrated an excellence reservoir quality prediction based on the relation between petrophysical parameters with elastic parameters.


Amaefule, Jude O dan Altunbay, Mehmet. (1993). Enhanced Reservoir Description: Using Core and Log Data to Identify Hydraulic (Flow) Units and Predict Permeability in Uncorelated Intervals/Wells. SPE 26436, page 205-220.
Chapuis, Robert P., dan Aubertin, Michel. (2003). Predicting the Coefficient of Permeability of Soils using the
Kozeny-Carman Equation. Montreal: Department CGM, Ecole Polytechnique de Montreal.
Chandra, Tanmay. (2008). Permeability Estimation using Flow Zone Indicator from Well-log Data. Dhanbad: Dept. Of Applied Geophysics, ISM University.
Kumar, D. (2006). A Tutorial on Gassmann Fluid Substitution: Formulation, Algorithm and Matlab Code. Geohorizons, January 2006, page 5-12
Lee, Myung W. (2005). Proposed Moduli of Dry Rock and Their Application to Predicting Elatic Velocities of Sand-
stones. Virginia: U.S Geological Survey Scientific Investigastion Report 2005-5119, 14 p
Mavko, G., Mukerji, T., dan Dvorkin, J. (2009). The Rock Physics Handbook. New York: Cambridge University
Nur, A., Mavko, G., Dvorkin, J., dan Gal, D., (1995). Critical Porosity: The Key to relating Physical Properties to
Porosity in Rocks. In Proc. 65th Ann. Int. Meeting, Soc. Expl. Geophys., vol 878. Tulsa, OK: Society of Exploration
Panuju, F, Mufdi., P, Imam., R, Ginanjar., F, Iskandar., dan Buskamal. (2012). Zona Biostratigrafi Nanoplankton
Berumur Coniacian-Maastrichtian (Kapur Akhir) Cekungan Bintuni, Kepala Burung, Papua. Jakarta: Exploration
Permadi, Pudji., and Kurnia, Ivan. (2011). Rock Type Based Permeability Prediction Using Routine and Special Core Analysis Data. Bandung: Institut Teknologi Bandung.
Pride, S. R. (2005). Relationships Between Seismic and Hydrological Properties, In Rubin, Y., and Hubbard, S. eds. Hydrogeophysics: New York, Kluwer Academy, p. 217-255
Russel, B. (2013). A Gassman Constituent Rock Physics Template. CSEG Recorder.
Dec 31, 2018
How to Cite
AMBARSARI, Dona Sita; WINARDHI, S.. Rock Physics Modelling for Estimating the Quality of Reservoir Tight Sand in Bintuni Basin, West Papua, Indonesia. Jurnal Geofisika, [S.l.], v. 16, n. 3, p. 14-18, dec. 2018. ISSN 2477-6084. Available at: <>. Date accessed: 18 aug. 2019.