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Acoustic wave-equation traveltime and waveform inversion of crosshole seismic data

机译:井间地震数据的声波方程传播时间和波形反演

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A hybrid wave-equation traveltime and waveform inversion method is presented that reconstructs the interwell velocity distribution from crosshole seismic data. This inversion method, designated as WTW, retains the advantages of both full wave inversion and traveltime inversion; i.e., it is characterized by reasonably fast convergence which is somewhat independent of the initial model, and it can resolve detailed features of the velocity model. In principle, no travel-time picking is required and the computational cost of the WTW method is about the same as that for full wave inversion. We apply the WTW method to synthetic data and field crosshole data collected by Exxon at their Friendswood, Texas, test site. Results show that the WTW tomograms are much richer in structural information relative to the traveltime tomograms. Subtle structural features in the WTW Friendswood tomogram are resolved to a spatial resolution of about 1.5 m, yet are smeared or completely absent in the traveltime tomogram. This suggests that it might be better to obtain high quality (distinct reflections) crosshole data at intermediate frequencies, compared to intermediate quality data (good quality first arrivals, but the reflections are buried in noise) at high frequencies. Comparison of the reconstructed velocity profile with a log in the source well shows very good agreement within the 0-200 m interval. The 200-300 m interval shows acceptable agreement in the velocity fluctuations, but the tomogram's velocity profile differs from the sonic log velocities by a DC shift. This highlights both the promise and the difficulty with the WTW method; it can reconstruct both the intermediate and high wavenumber parts of the model, but it can have difficulty recovering the very low wavenumber parts of the model.
机译:提出了一种混合波方程行进时间与波形反演的方法,该方法可以根据井间地震数据重建井间速度分布。这种反演方法称为WTW,保留了全波反演和传播时间反演的优点。即,它的特征在于相当快的收敛性,它在某种程度上与初始模型无关,并且可以解析速度模型的详细特征。原则上,不需要走时选择,并且WTW方法的计算成本与全波反演的计算成本大致相同。我们将WTW方法应用于埃克森美孚在德克萨斯州的Friendswood的测试地点收集的合成数据和野外井眼数据。结果表明,相对于旅行时间断层图,WTW断层图的结构信息要丰富得多。 WTW Friendswood断层图中的微妙结构特征已解析为约1.5 m的空间分辨率,但在行进时间断层图中却被涂抹或完全消失。这表明,与高频处的中等质量数据(质量先到但反射被掩埋在噪声中)相比,在中等频率处获得高质量(不同反射)的井眼数据可能会更好。将重构后的速度剖面与源井中的测井结果进行比较,显示出在0-200 m的区间内有很好的一致性。 200-300 m的间隔在速度波动方面显示出可接受的一致性,但是断层图像的速度曲线与DC位移的声波测井速度不同。这凸显了WTW方法的前景和难度;它可以重建模型的中波数部分和高波数部分,但是很难恢复模型的低波数部分。

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