摘要
Recognition of thin interbedded reservoirs in the middle-shallow strata in the Songliao Basin is a great difficulty. In order to resolve this problem, we present a technique for predicting the distribution of thin reservoirs using a broad frequency band and ultra high resolution seismic. Based on forward modeling, we recognized that a thin bed seismic reflection is characterized by changing amplitude with changing frequency （amplitude versus frequency, AVF）. We calculate the thickness of thin reservoirs from their AVF characteristics and predict the distribution of thin bed reservoir using broad frequency band and ultra high resolution seismic. The technique has been applied in the 3D seismic area of Zhaoyuan in the northern part of the Songliao Basin. The seismic resolution is increased by two or three times over that of conventional seismic and many thin reservoirs have been identified. The technique has extensive application to the exploration and development of oil and gas, such as optimizing the location of exploration wells, the design of wells （especially horizontal wells）, choice of production test layers, analyzing reservoir continuity in development wells, and so on.
识别薄内部在在 Songliao 盆的中间浅的阶层的 bedded 水库是一个大困难。以便解决这个问题，我们在场为预言使用一个宽广频率乐队和极端高分辨率的薄水库的分发的一种技术地震。基于向前当模特儿，我们认出了那一张薄床地震思考被与改变频率改变振幅描绘(振幅对频率， AVF ) 。我们从他们的 AVF 特征计算薄水库的厚度并且用宽广频率乐队和极端高分辨率预言薄床水库的分发地震。这种技术在 3D 被使用了在 Songliao 盆的北部分的 Zhaoyuan 的地震区域。地震决定在的上到二或三次被增加常规地震并且许多薄水库被识别了。这种技术有广泛的申请到油和气体的探索和发展，例如优化探索井的地点，井(特别水平的井) 的设计，生产测试层的选择，等等在发展井分析水库连续性。
