Horizon chromatography inversion earthquake speed modeling method with thin layers used and modeling unit

Abstract

The invention discloses a horizon chromatography inversion earthquake speed modeling method with thin layers used and a modeling unit. The use of the thin layers is introduced in a horizon chromatography inversion method so that the precision of a speed field can be improved. The method includes the following steps that a perpendicular layer speed field is set up; earthquake reflecting interfaces are picked to serve as control layers for horizon speed analysis, and a horizon layer speed field is set up; a thin layer speed control layer is inserted between every two control layers, and a thin layer set is set up; the perpendicular layer speed field is used for calculating the layer speed of each thin layer, and the horizon layer speed field is used for correcting the picked thin layer speed; iterative optimization is conducted on the horizon layer speed field; the obtained optimized speed field is used for correcting the thin layer set speed. According to the horizon chromatography inversion earthquake speed modeling method with the thin layers used and the modeling unit, due to the linked application of the perpendicular speed modeling method and the horizon speed modeling method, the layer interior constant speed of the horizon speed field is replaced by the perpendicular speed detail characteristics of the perpendicular speed field, and the precision of earthquake speed modeling is improved.

Description

technical field [0001] The invention relates to seismic exploration technology, in particular to a modeling method and a modeling unit of layer-by-layer tomographic inversion seismic velocity using thin layers. Background technique [0002] Velocity field is one of the most important geophysical parameters in seismic exploration. On the one hand, seismic interpretation work such as structural interpretation, reservoir inversion, and fluid detection must be performed on migration imaging data, and accurate seismic velocity fields are the premise and basis for accurate migration imaging; on the other hand, seismic velocity The field contains important geological information such as lithology, structure, reservoir, fluid, etc. Therefore, calculating the accurate seismic velocity field is a key task in seismic data processing. [0003] Seismic velocity field is divided into superposition velocity field, root mean square velocity field and layer velocity field. The mainstream ...

AI Technical Summary

Problems solved by technology

The grid tomography method completely uses mathematical methods, and the computer automatically solves the super-large overdetermined equations, which can obtain the ability to describe the vertical velocity change similar to the vertical velocity modeling method. However, the multi-solution problem cannot be avoided. Under complex geological conditions, it is difficult to control the speed error, which limits its application effect.

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