Continuous Wavelet Transforms of Spectral Decomposition and Petrophysical Analyses For Sand Reservoir Characterization Of X Gas Field, Eastern Indonesia

Hydrocarbon exploration in Eastern Indonesia is still a challenging area. This region provides a great challenge for future significant discoveries. This potential was evaluated in order to explore the target for geoscientists and petroleum engineers. Various studies have demonstrated the usefulness of spectral decomposition and its associated frequency attributes in seismic interpretation and hydrocarbon exploration. In this work, we used Continuous Wavelet Transform (CWT) to to detect frequency shadows caused by hydrocarbons for reservoir characterization.Wavelet transform is a useful and applicable technique to reveal frequency contents of various signals in different branches of science and especially in petroleum studies. We also applied petrophysical analysis to evaluate the reservoir quality, it applied to get the petrophysical parameters consist of porosity, shale volume, resistivity, and water saturation. The evaluated petrophysical parameter indicated that there were good porosity ranges between (5-25%), clay volume (11-14%), and water saturation (2-30%). Lithology of reservoir is sand. The evaluated petrophysical parameters indicated reservoir in this gas field has good quality of reservoir.It had been observed that continuous wavelet transform, utilizing Morlet wavelet, displays low-frequency shadows under the reservoir on iso-frequency vertical sections to identify reservoirs containing gas.The presence of low-frequency shadows under the reservoir can be an indicator of the presence of hydrocarbons in the target reservoir.