最近，当在西北中国在盆学习一些煤气的领域时，我们发现小浪的方面脑叶在薄沙水库的鉴定上有大影响。从 H 形成，在有煤气忍受的薄沙身体的顶的思考，有在二片弱山峰方面脑叶之间的主要小浪脑叶。总是，有另一座山峰的混合从一座薄沙...最近，当在西北中国在盆学习一些煤气的领域时，我们发现小浪的方面脑叶在薄沙水库的鉴定上有大影响。从 H 形成，在有煤气忍受的薄沙身体的顶的思考，有在二片弱山峰方面脑叶之间的主要小浪脑叶。总是，有另一座山峰的混合从一座薄沙水库的顶反映了的更低的。那使识别沙水库困难。以便解决这，许多前面的模型用典型的井木头被建立。2D 合成侧面用 Ricker 小浪被生产学习在小浪方面脑叶和薄沙位置和频率的效果之间并且在振幅和薄沙身体之间的关系。我们开发了下列结论：首先，在一个更浅的位置识别薄沙更容易。第二，把沙身体思考与方面脑叶区别开来的一个好方法由把侧面与不同频率窗口作比较。第三，用振幅属性描述沙程度有用、有效。展开更多
Thin reservoirs prediction method such as spectral inversion has drawn considerable attention in recent years. In order to avoid extracting wavelets within the whole field area purposeless and to make the filtered dat...Thin reservoirs prediction method such as spectral inversion has drawn considerable attention in recent years. In order to avoid extracting wavelets within the whole field area purposeless and to make the filtered data has preferable fidelity as well as signal-to-noise ratio, an effective structural constrained thin reservoir description method which combines spectral inversion and wide-band Ricker wavelet filtering technology has been proposed in this paper. The method given here is more credible and is suitable for the prediction of middle-deep thin reservoirs. We take LD-A structure within Bohai Bay Basin as an example to show the implement of our method. Several sets of thin sand layers which are hardly to recognize originally have been finally identified. Also, with the application of this method, a high-production thin reservoir of LD-B structure has been identified accurately, which provides credible information for subsequent fine oil exploration and development.展开更多
文摘Thin reservoirs prediction method such as spectral inversion has drawn considerable attention in recent years. In order to avoid extracting wavelets within the whole field area purposeless and to make the filtered data has preferable fidelity as well as signal-to-noise ratio, an effective structural constrained thin reservoir description method which combines spectral inversion and wide-band Ricker wavelet filtering technology has been proposed in this paper. The method given here is more credible and is suitable for the prediction of middle-deep thin reservoirs. We take LD-A structure within Bohai Bay Basin as an example to show the implement of our method. Several sets of thin sand layers which are hardly to recognize originally have been finally identified. Also, with the application of this method, a high-production thin reservoir of LD-B structure has been identified accurately, which provides credible information for subsequent fine oil exploration and development.
