论文部分内容阅读
叠前反演是利用叠前道集数据反演储层参数进行储层预测的一项技术,叠前成像道集数据的好坏直接决定了叠前反演结果的成败。为提高叠前成像道集的质量,在常规处理的基础上,再进行针对性的相对保幅去噪、能量恢复、拓频处理等是非常必要的。本文阐述了地震资料能量变化、频率成分组成、信噪比及分辨率等因素对叠前反演技术的影响,论述了消除影响的技术关键。通过实例证明了所论述处理技术具有良好的应用效果,可为叠前反演提供高质量的叠前数据。
Prestack inversion is a technique for reservoir prediction by using prestack data to retrieve reservoir parameters. The data of prestack tomography directly determines the success or failure of prestack inversion. In order to improve the quality of prestack imaging gathers, it is necessary to carry out targeted relative amplitude preserving denoising, energy recovery and frequency broadening based on the conventional processing. This paper describes the influence of seismic data such as energy changes, frequency components, signal-to-noise ratio and resolution on the prestack inversion technique, and discusses the key technology to eliminate the influence. An example is given to demonstrate that the proposed processing technique has good application effects and can provide high-quality prestack data for prestack inversion.