Multifractal Analysis and Interpretation of Reservoir Fluids

Maryam Mahsal Khan; Muhammad Waqar Aziz; Ali Sayyed; Naseer Ahmed Khan

Maryam Mahsal Khan Department of Computer Science, CECOS University of IT and Emerging Sciences, Peshawar, Pakistan
Muhammad Waqar Aziz Department of Computer Science, CECOS University of IT and Emerging Sciences, Peshawar, Pakistan
Ali Sayyed Department of Computer Science, CECOS University of IT and Emerging Sciences, Peshawar, Pakistan
Naseer Ahmed Khan Department of Chemical Engineering, University of Engineering and Technology, Peshawar, Pakistan

Keywords: reservoir modelling, multifractals, spectral decomposition, wavelet transform

Abstract

Spectral decomposition technique is used in seismic interpretation for identifying hydrocarbon reservoirs, thin beds and channels. Seismic traces contain discontinuities, also known as singularities, which can be used to derive important geological and geophysical information about the earth formation. To analyse these singularities, statistical techniques are necessary to detect variations in rock and fluid properties. The current study describes a method based on characteristics of singularity spectrum derived from analysis of multifractals for detecting reservoir homogeneity (same reservoir fluids) or heterogeneity (different reservoir fluids) on synthesized and modelled seismograms. Singularity spectrum features namely correlation dimension and width were investigated. By using these additional characteristics, prospective hydrocarbon zones become more reliable, reducing drilling uncertainty and possibly improving reservoir fluid flow modelling.