--> Abstract: A Simple Technique for Estimation of Reservoir Permeability from Seismic Reflection Data Based from Biot’s Theorem, by Sismanto Sismanto, Friedemann Wenzel, Djoko Santoso, Suprajitno Munadi, Kirbani Sribrotopuspito, and Budi Subiyanto; #90105 (2010)
[First Hit]

Datapages, Inc.Print this page

AAPG GEO 2010 Middle East
Geoscience Conference & Exhibition
Innovative Geoscience Solutions – Meeting Hydrocarbon Demand in Changing Times
March 7-10, 2010 – Manama, Bahrain

A Simple Technique for Estimation of Reservoir Permeability from Seismic Reflection Data Based from Previous HitBiotNext Hit’s Theorem

Sismanto Sismanto1; Friedemann Wenzel3; Djoko Santoso2; Suprajitno Munadi4; Kirbani Sribrotopuspito1; Budi Subiyanto5

(1) Physics/Geophysics, Gadjah Mada University, Yogyakarta, Indonesia.

(2) Geophysics, Institute Technology Bandung, Bandung, Indonesia.

(3) Physics/Geophysics, University of Karlsruhe, Karlsruhe, Germany.

(4) Exploration, PPPTMGB Lemigas, Jakarta, Indonesia.

(5) Geophysics Subsurface Imaging, Chevron, Pekan Baru, Indonesia.

Relationships among elastic parameters and rock properties, and ultimate reservoir parameters have been established in continuum mechanics and rock physics. Therefore, it should be possible to estimate reservoir permeability from the seismic data. We used Previous HitBiotNext Hit’s solution of Previous HitwaveTop equation in an elastic porous medium and the approximations of Turgut-Yamamoto to allow an establishment of a linear relationship between attenuation coefficient or amplitude ratio as a function of the inverse of the square of frequency. The slope of this function includes the permeability. It can be shown that this technique agrees to the measurement of the permeability of a porous medium from seismic waveforms. We examined this technique to estimate the reservoir permeability by using synthetic seismogram data. The result show that has an error less than 5 %, it means that the study of permeability estimation from surface seismic data is possible by using an accurate calibration step. The procedure is tested on 3D seismic data over part of Duri field in central Sumatra, Indonesia. The simplicity of the theoretical approach requires the introduction of an empirical calibration factor that is provided by well SM#A in the area. This factor is then implemented to estimate the permeability with seismic data on the field; it gives a permeability map of the study area. A key result of the study is that permeability estimation with surface seismic data are possible but requires calibration. A confirmation and validation of this procedure will be subject to future work.