【摘要】 我们研究中国西部某盆地一些气田时,发现地震子波旁瓣在很大程度上影响着薄砂体的识别和解释。该区目的层段H段地层中,辫状河流相薄砂岩储层与湖相泥岩成互层。在地震资料上,来自H段地层顶面的强波谷总跟随一个弱波峰(源于子波旁瓣),此弱波峰与薄砂体顶面反射波峰相互叠合,掩盖了砂体反射,造成了薄砂体识别和解释的困难。为此,我们设计了一套正演模型,利用不同频率的零相位雷克子波合成人工地震剖面,来研究砂体位置、频率与地震子波旁瓣效应的关系,以及振幅类属性与薄砂体关系。提出处于高位置的砂体反射形态清晰,易于识别解释;认为通过对比不同带通滤波处理后的地震资料,可很好辨别旁瓣效应和砂体反射;同时发现振幅类属性可作为薄砂体识别表征参数,可有效合理地描述砂体分布范围和特征。更多还原

【Abstract】 Recently, we found that side lobes of wavelets have a large impact on the identification of thin sand reservoirs when studying some gas fields in a basin in Northwest China. Refiections from the top of the H Formation, in which there are gas-bearing thin sand bodies, have the main wavelet lobe between two weak peak side lobes. The lower one always mixes with another peak refiected from the top of a thin sand reservoir. That makes it difficult to identify the sand reservoir. In order to solve this, many forward models were set up using typical well logs. 2D synthetic profiles were produced using Ricker wavelets to study the relationships between the effects of wavelet side lobes and thin sand position and frequency and between amplitude and the thin sand body. We developed the following conclusions: First, it is easier to identify thin sands in a shallower position. Second, a good way to tell sand body reflections from side lobes is by comparing profiles with different frequency windows. Third, it is helpful and effective to describe sand extent using amplitude attributes.更多还原