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Combination of seismic inversion and spectral decomposition to identify reservoir and gas content: A case study of CH field, East Java Basin

机译:地震反演和光谱分解的组合鉴定储层和煤气含量:以东爪哇盆地CH田的案例研究

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Seismic inversion and spectral decomposition has been carried out to identify reservoir and gas content in CH field East Java Basin. The combination of this geophysical methods is intended to identify gas reservoir. This study aims to delineate identify the reservoir based on seismic inversion result and determine the gas content based on the spectral decomposition. Seismic inversion is carried out by using model-based inversion, which is giving more plausible result by using forward modelling concept to calculate the synthetic seismic as the part of inversion algorithm. The spectral decomposition is performed by using continues wavelet transform (CWT) because this method provide the high resolution in time and frequency domain. This method applied into 7 Hz and 20 Hz frequency to determine the low frequency anomaly. Model based seismic inversion result show that the reservoir zone is clearly identified, with acoustic impedance below 11,000 ft.g/s.cc. The reservoir shows circular geometry based on the sub surface geological condition of carbonate buildup. The time frequency analysis is carried out in the frequency of 7 Hz and 20 Hz. The result shows low frequency high amplitude anomaly at the frequency of 7 Hz. The low frequency anomaly is located in the area, which is indicated by low acoustic impedance from the seismic inversion result. Combination of these two methods resulting the satisfactory identification methods, which is applicable in the gas reservoir identification.
机译:已经进行了地震反转和光谱分解,以识别CH田东爪哇河流域中的储层和气体含量。这种地球物理方法的组合旨在识别气体储层。本研究旨在描绘基于地震反演结果的储层识别储层,并根据光谱分解确定气体含量。通过使用基于模型的反转来执行地震反演,这通过前向建模概念来提供更合理的结果来计算合成地震作为反转算法的一部分。通过使用继续小波变换(CWT)来执行频谱分解,因为该方法在时间和频域中提供高分辨率。该方法应用于7Hz和20Hz频率以确定低频异常。基于模型的地震反演结果表明,储存区清楚地识别,声阻抗低于11,000 ft.g / s.cc。储存器显示基于碳酸盐堆积的亚表面地质条件的圆形几何形状。时间频率分析以7Hz和20Hz的频率进行。结果显示了7Hz频率的低频高幅度异常。低频异常位于该区域,该区域由来自地震反转结果的低声阻抗表示。这两种方法的组合导致令人满意的识别方法,这适用于气体储层鉴定。

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