基于褶积理论的深度域地震资料反演

近年来随着深度域地震资料的普及,为更好地利用这些地震资料来解决地下地质问题,提出了基于褶积理论的深度域地震资料反演。基于褶积理论的地震资料反演,子波与低频模型对反演结果具有十分重要的影响。通过制作人工合成记录与数值模拟研究,得到了深度域子波与时间域子波的关系,为基于褶积理论的深度域反演奠定了基础。将深度域反演应用于南海西部某油田,通过与该区的时间域地震资料反演对比,发现两种反演方法子波与低频模型都有差异。当时间域地震资料的采样间隔约为深度域地震资料采样间隔与层速度之比的两倍时,深度域地震资料的反演结果将优于时间域地震资料反演结果。

Depth Domain Seismic Inversion Base On Convolution Theory

Our mainly goal of seismic data is to solve the geological problems. In recent years, depth seismic data is widely used. So we must study some new method of the depth seismic data. In this paper, we introduce a new depth domain seismic inversion method based on convolution theory. Based on the seismic convolution theory of seismic data inversion, the wavelet and low frequency model has very important influence. How to get the wavelet of the depth domain? Through the production of synthetic records and numerical simulation study, obtained the relationship between time domain seismic wavelet and the depth domain seismic wavelet that is depth domain inversion foundation based on convolution theory. The depth domain inversion is applied on a certain oilfield of west South China Sea. And time domain seismic inversion with the area contrast, it found that two inversion method of wavelet and low frequency model vary.When the sampling interval of the time domain seismic data is about twice the ratio of the sampling interval of the depth domain seismic data with the interval velocity, the depth domain seismic data inversion results will be better than the time domain seismic inversion results.