Superimposed sand body identification method based on seismic forward modeling

Abstract

The invention relates to a superimposed sand body identification method based on seismic forward modeling, and belongs to the technical field of oilfield reservoir prediction. The method comprises the following steps: first, acquiring the spectral range and main spectrum of earthquake in an exploration area and the petro-physical parameters of sand bodies in the exploration area according to the seismic data of the exploration area; then, establishing geological forward models of different superimposed sand body structures according to the petro-physical parameters of the sand bodies in the exploration area; performing seismic forward modeling for different geological forward models based on the acquired spectral range and main spectrum; and finally, comparing the seismic forward modeling results with actual seismic reflection, determining a forward modeling result which can completely separate the waveforms of the superimposed parts of the sand bodies, and identifying superimposed sand bodies according to the forward modeling result. According to the invention, by simulating the seismic reflection characteristics of different superimposed sand body structures through the seismic forward modeling technology and comparing the seismic reflection characteristics with those of an actual seismic reflection profile, superimposed sand bodies are identified, and the connectivity of sand bodies is worked out. A basis is provided for overall evaluation and deployment of exploration and development.

Description

technical field [0001] The invention relates to a superimposed sand body identification method using seismic forward modeling simulation, and belongs to the technical field of oilfield reservoir prediction. Background technique [0002] Lithologic reservoirs have become the focus of current exploration and development. In this case, more detailed geological interpretation of seismic data is required, such as interpretation of non-standard layers, identification and tracking of lenses and superimposed sand bodies, etc. Limited by many factors such as seismic data resolution and signal-to-noise ratio, it is very difficult to interpret complex geological bodies reasonably and accurately, especially the anisotropy of these geological bodies, which directly affects lithological interpretation and the next step of exploration and development. . In order to obtain a reasonable geological interpretation, identify superimposed sand bodies, and accurately predict the spatial developm...

AI Technical Summary

Problems solved by technology

The superimposition of such complex sand bodies of different origins and the structural model of the skeleton sand bodies have increased the difficulty of identifying and evaluating reservoirs

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