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Identification of Sandstone Reservoir Saturated by Oil Using Low Frequency Analysis with base on CWT and AVO Analysis Sudarmaji S; Budi Eka Nurcahya
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 4, No 01 (2014): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v4i01.1168

Abstract

Identification of sandstone resevoir saturated by oil has been conducted by mean low frequency and amplitude versus offset (AVO) analysis. Low Frequency analysis was has been conducted among 3D and 2D seismic data of PSTM gather using continuose wavelet transform (CWT) around 15hz. Low frequency analysis was done by calculating attribute gradient time frequency of instantaneous amplitude using continuous wavelet transform (CWT) around 15hz for detecting the existing diffusive wave from reflection seismic. Diffusive wave is a wave that appears due to fluid movement in porous rock, especially fluid of hydrocarbon with certain viscosity and permeability. While amplitude versus offset (AVO) analysis was done for detecting the impedance character of sandstone reservoir that related to porous rock. Amplitude versus offset (AVO) analysis was done by calculating gradient*intercept and observing the curve of wave reflectivity as a function of offset. The positive value of gradient*intercept and curve of reflectivity as a function of offset could be identified as AVOclass III and correlated to sandstone reservoir with low impedance and good porosity.
Method Comparison of Model Based Tomography and Grid Based Tomography to refine interval velocity Yuninggar Dwi Nugroho; Sudarmaji S
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 4, No 01 (2014): IJAP Volume 04 Issue 01 Year 2014
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v4i01.1170

Abstract

The input data for pre stack time migration and pre stack depth migration is velocity model. The exact velocity model can provide maximum result in seismic section. The best seismic section can minimize possibility of errors during interpretation. Model based and grid based tomography are used to refine the interval velocity model. The interval velocity will be used as input in the pre stack depth migration. Initial interval velocity is obtained from RMS velocityusing Dix formula. This velocity will be refined by global depth tomography method. The global depth tomography method is divided into model based and grid based tomography. Velocity analysis is performed along the horizon (depth model). Residual depth move out is obtained from picking velocity. It is used as input in tomography method. The flat gather is obtained at tenth iteration. The interval velocity that is obtained from tenth iteration has the small errors. Tomography method can provide maximum result on velocity refinement. That is shown by the result that the pre stack depth migration is much better than using initial interval velocity. The pull up effect can be corrected by tomography method.