速度—密度双参数重震联合反演方法

Gravity and seismic joint inversion method of velocity and density parameters

速度和密度参数在地震资料处理和储层预测中发挥着重要作用,然而多参数间的相互耦合使密度在全波形反演中难以重构。为获得更准确的密度信息,将重力梯度数据纳入全波形反演过程,优化密度更新算法,并制定了一种重震联合反演策略。首先,通过重力梯度数据反演,获得反映地下介质整体密度信息的初始模型,再进行速度—密度参数同步联合反演目标函数的构建及求解。本文方法避免了先验速度—密度关系的限制,降低了对初始模型的依赖程度,模型试算结果表明,重力梯度数据的加入改善了波形反演密度结果的质量,验证了该方法的有效性和准确性,具有较大的应用潜力。

Velocity and density parameters play an important role in seismic data processing and reservoir prediction.However,the coupling of multiple parameters makes it difficult to reconstruct density in full waveform inversion.In order to obtain more accurate density information,this paper incorporated gravity gradient data into the full waveform inversion process,optimized the density update algorithm,and formulated a gravity and seismic joint inversion strategy.First,the initial model reflecting the overall density information of underground media was obtained through gravity gradient data inversion,and then the construction and solution of the objective function of synchronous joint inversion of velocity and density parameters were carried out.The method in this paper avoids the limitation of the prior velocity and density relationship,and reduces the dependence on the initial model.Through the model trial,the results show that the addition of gravity gradient data improves the quality of the density inversion results of the waveform,and verifies the effectiveness and accuracy of the method,which has great application potential.