测井数据标准化处理和储层精细标定是约束地震反演基础工作的核心。
Standard processing of logging data and fine labeling of reservoir are the kernels of basic works of constrained seismic inversion.
提出了一种基于测井数据和叠前地震反演参数的流体饱和度定量预测方法——孔隙体积模量法。
A new method based on well logging data and pre-stack seismic inversion parameters, which is called pore bulk modulus method, is presented to quantitatively calculate pore fluid saturation.
岩石孔隙度和地震波速度之间存在着内在联系，利用地震和测井数据反演井间孔隙度值是储层预测的主要内容之一。
Interal relationship exists between porosity and seismic-wave velocity, and inter-well porosity inversion with seismic and logging data is one of the key elements of reservoir prediction.
成功的地震反演通常需要数据具有较高的信噪比和较宽的带宽。
Successful seismic inversion usually requires a high signal-to-noise ratio and a large bandwidth.
在地震数据处理中，地震数值模拟计算出来的记录数据可以检验各种反演方法的正确性。
In the process of seismic data, seismic numerical modeling can be used to test some inverse methods.
即从测井数据出发，在地震资料的控制下，通过逐次迭代，精确地反演岩性及厚层参数，有效地解决了反演的多解性问题。
Guided by seismic data, we use logging data to invert lithological parameters and bed thickness exactly by successive iteration, hence solving the problem of multi solution in inversion.
该方法利用测试数据时程直接进行结构损伤识别，并可反演出地震动时程。
Based on the proposed method, the structural damage can be directly identified from structure response and the seismic history can be obtained simultaneously.
利用约束稀疏脉冲反演方法对崖城13—1构造的高分辨率三维地震资料进行了反演，得到了全频带的绝对波阻抗数据体。
After 3d high resolution seismic data of Yacheng 13-1 structure were inversed using restriction sparse pulse inversion, data volume of full-frequency band absolute wave impedance was gained.
利用平湖八角亭工区的近中远角道集数据体，成功应用了同时反演算法（SADI），最终将地震振幅数据体转化为描述岩石岩性和流体的属性数据体。
SADI algorithm was executed successfully in the BJT area with near-, middle-, and far-stack dataset, and amplitude dataset was finally converted to attributes dataset describing lithology and fluid.
本文针对深度域地震资料反演问题提出了神经网络数据驱动岩性参数反演方法。
In view of the issue of seismic data inversion in depth domain, the paper presented the method for inversion of lithologic parameters driven by neural network.
在地震反演中，由于观测数据的有限性和误差，使得地震反演结果的非唯一性广泛存在，求得的模型是实际模型在一定范围内的平均值。
In seismic inversion, the result is non-unique because of the finiteness and error of measured data the obtained model is the average value of the real model.
储层建模横向预测中，应用协克里金算法联合地震反演与原始测井两种数据，综合建立地质模型。
In the prediction of lateral reservoir variations, co-Krige method is used to combine seismic inversion results and original log data to form an integrated geological model.
储层建模横向预测中，应用协克里金算法联合地震反演与原始测井两种数据，综合建立地质模型。
In the prediction of lateral reservoir variations, co-Krige method is used to combine seismic inversion results and original log data to form an integrated geological model.
应用推荐