Marmousi模型与实际陆地数据反射波全波形反演速度建模数据集

反射波全波形反演数据集包括观测系统数据、反射波数据、反射波波形反演建立的背景速度数据、全波形反演建立的速度数据四部分。各个部分数据均可以通过提供的程序生成。数据集涵盖一个Marmousi2模型的反射波数据，时间精度达到秒级别，模型的空间精度可以达到十米级。计算方式采用基于波动方程的地震波模拟方法，通过数值仿真验证数据的合理性和准确性。该数据集的潜在利用价值体现在为地震数据处理中的背景速度建模提供支持，能够建立较好的初始模型、提高后续反演的速度模型的准确度，并为后续的波形反演技术研发和工业应用提供基础数据支持。The reflection-wave full waveform inversion (FWI) dataset comprises four components: acquisition geometry data, reflection-wave field data, background velocity model data constructed via reflection-wave waveform inversion, and final velocity model data derived from full waveform inversion. All components of this dataset can be generated using the accompanying program. The dataset includes reflection-wave field data generated based on the Marmousi2 model, with a temporal precision at the second level and a spatial precision up to the ten-meter scale. The data is generated via seismic wave simulation methods rooted in the wave equation, and its rationality and accuracy are validated through numerical simulations. The potential utility of this dataset lies in supporting background velocity modeling for seismic data processing: it enables the construction of high-quality initial models, enhances the accuracy of velocity models obtained via subsequent inversions, and provides foundational data support for the subsequent R&D of waveform inversion technologies and their industrial applications.

搜集汇总

背景与挑战

背景概述

该数据集包含Marmousi模型的反射波数据，用于全波形反演速度建模，涵盖观测系统、反射波、背景速度和反演速度四部分数据。它通过程序生成，旨在为地震数据处理提供背景速度建模支持，以提高初始模型和反演结果的准确性。