Tahir Azeem, Wang Yan Chun, Faisal Rehman, Muhammad Toqeer, Aamir Ali
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引用次数: 0
Abstract
The characterization of thin-bedded reservoirs is quite a challenging task, particularly as the reservoir thickness is below the seismic resolution limit. Geostatistical inversion efficiently integrates different datasets to create a high-resolution impedance model for improved characterization of the thin-bedded reservoirs. However, the optimal utilization of geostatistical inversion necessitates the availability of 3D seismic data. This study presents a novel approach for converting 2D seismic lines into a 3D grid, enabling the application of geostatistical inversion techniques. Different seismic features within the target interval (Lower Goru Formation) are correlated to investigate the credibility of the applied technique. Subsequently, geostatistical inversion is performed, and the obtained results are validated using gamma ray logs. It is observed that low gamma ray zones are in good agreement with the low impedance zones within the Lower Goru Formation. Even small variations in seismic impedance align with the variations depicted by wireline log data and pseudo-impedance logs. The adopted workflow can be utilized to build up the high-resolution impedance model of complex geological reservoirs without 3D seismic data.
期刊介绍:
The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone.
Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.