基于稀疏自适应S变换的储层流体流度计算

发布时间：2018-03-27 20:41

本文选题：稀疏S变换　切入点：稀疏时频分解　出处：《科学技术与工程》2017年36期

【摘要】：反射地震数据中的低频信息包含了丰富的与流体流度相关的信息,据此可以从中提取相关储层的流体流度属性,从而可以利用地震数据的低频信息识别流体。因此,为了提高分辨率以及工作效率,将稀疏自适应S变换引入储层流体流度的计算,该方法开发了基于稀疏性的窗参数优化,以用于自适应地调控对不同频率分量的窗函数,应用该方法计算时频谱信息并求取流度可得到较高的分辨率和能量聚集性,此外也省去了参数调节的步骤。相较于常规的时频分析方法,该方法在具有较高分辨率的同时,克服了测不准原理对信号可分辨的限制。因其对不同的频率分量都自适应地获取最优窗参数,通过仿真信号,合成楔形记录试算,稀疏自适应S变换有更高的分辨率和能量聚集性。实际地震数据的试验表明,稀疏自适应S变换可有效地求取流体流度,并较常规时频方法所求流度有更高的分辨率。
[Abstract]:The low frequency information of seismic reflection data contained in the related fluid mobility rich information, which can extract fluid from the reservoir flow properties, which can use low frequency information fluid identification of seismic data. Therefore, in order to improve the resolution and efficiency of calculation will be sparse adaptive S transform is introduced into the reservoir fluid flow. This method is developed based on the sparsity of the window parameter optimization, to control for adaptive window function for different frequency components, calculated using the method of spectrum information and obtain the mobility to obtain higher resolution and energy aggregation, moreover also eliminates the need for parameter adjustment step. Compared to the conventional method of frequency analysis in this method, with a high resolution at the same time, to overcome the uncertainty principle limit can be distinguish for the signal. Because of the different frequency components are adaptively to obtain the optimal window Through the simulation parameters, signal synthesis, wedge record calculation, sparse adaptive S transform has higher resolution and energy aggregation. Experiments show that the actual seismic data, sparse adaptive S transform can effectively calculate the fluid flow, and compared with the conventional time-frequency methods for mobility has a higher resolution.

【作者单位】：成都理工大学地球物理学院;成都理工大学油气藏地质及开发工程国家重点实验室;
【分类号】：P631.44

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