随着油气勘探开发的不断发展,利用地震属性进行储层预测的方法得到了广泛的应用,并且在生产中取得了较好的效果.本文采用的谱分解和地震多属性联合的方法进行储层厚度预测,克服了单一属性分析存在的多解性和多属性分析在断层处预测不准确的问题,以及仅利用谱分解方法时,由于其预测基础的限制,部分复杂地区对砂体厚度的预测效果存在一定误差这一问题,可以较为准确地预测出目的层的储层厚度,同时,在传统地震分析中非常难发现的地质信息,谱分解之后比较容易发现,有助于进一步解释.实际地震资料结合井信息和分层数据的标定,对储层厚度的预测进行了较为详细的研究.研究结果表明,此方法在原理和实际应用上都是可行的,提出了一种储层厚度预测的新方法.
With the deep-going of oil and gas exploration,the seismic attribute is widely used to predict thin reservoirs,and the effect is well in practice.In this paper,the joint method of spectral decomposition and seismic attributes is used to predict reservoir thickness. The method overcomes the multiple solutions of single-attribute analysis and the uncertain result of multi-attribute analysis when dealing with faults,and the existence of errors of prediction for reservoir thickness in complex area when apply spectral decomposition method independently due to the limitation of basis prediction.The method could give a more precise prediction of reservoir thickness of the target bed.In addition,the geological phenomenon difficult identified using the conventional seismic analysis is easily found after spectral decomposition,which contributes to further seismic interpretation. With this method,we do the specific research in predicting the thickness of reservoir using the field seismic data combining well data and geological picks.The result indicates this method is available in the basis and actual application,so it is a new method in reservoir thickness prediction.