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Integrating seismic attributes in the accurate modeling of geological structures and determining the storage of the gas reservoir in Gorgan Plain (North of Iran)
Authors:Mehdi Rezvandehy  H Aghababaei  SH Tabatabaee Raissi
Institution:1. Department of Geophysics, Dana Energy Company, Tehran, Iran;2. Faculty of Mining Engineering, Sahand University of Technology, Tabriz, Iran;3. Department of Geophysics, Exploration Directorate, National Iranian Oil Company (N.I.O.C.), Tehran, Iran;1. Department of Earth Sciences, University of Oxford, South Parks Road, Oxford, UK;2. School of Civil and Environmental Engineering, Georgia Institute of Technology, Mason Building, 790 Atlantic Drive, Atlanta, GA 30332-0355, USA;1. Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran;2. Department of Petroleum Engineering, Amirkabir University of Technology, 424 Hafez Ave, Tehran, Iran;3. Exploration and Production Research Center, Research Institute of Petroleum Industry, Tehran, Iran;4. Department of Geophysics, Exploration Directorate, National Iranian Oil Company, Tehran, Iran;1. Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran;2. Geophysical Institute (GPI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;3. Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran
Abstract:Three dimensional seismic operation of Gorgan Plain was studied around a well, which is situated in North of Iran following the hitting of a thin overpressure gas layer (thickness of 9.6 m), with the purpose of the accurate modeling of geological structures and determining the approximate gas storages. The geological structures of the reservoir were modeled using the seismic attributes (coherence, instantaneous amplitude and spectral decomposition (FFT)). The obtained results clearly demonstrated the shape and volume of the existing structural traps in the studied area. In order to estimate the thickness of gas layer in the 3D seismic volume and determining the gas storage, the thickness changes based on the seismic amplitudes were used because its thickness was less than the critical resolution thickness for this layer. However, due to its low thickness, the lack of indicator peak in seismic sections and strong faults of area, it was difficult to pursue this layer in the seismic volume and map its exact amplitude. Considering this issue, a new method with integrating of seismic attributes was recommended. First, the instantaneous amplitude attribute of the thin reservoir layer reflector in computed synthetic seismogram were fabricated and then the frequency regarding the highest amount (dominant frequency) was chosen by Fourier Transform. Finally, spectral decomposition (FFT) with the resulting frequency was gained over the cross-section of the layer's instantaneous amplitude attribute in the 3D seismic volume choosing a proper time window. In such a situation, an increase of its thickness was seen as its amplitude increase and the minimum gas storage of this reservoir was calculated using the area of the restricted part of high thickness (over 9.6 m).
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