A Coherence Enhanced Fault Identification Method Based on Seismic Analysis Traces Constrained by Horizon

Abstract

The invention discloses a coherently enhanced fault identification method based on seismic analysis traces under horizon constraints. The method can overcome the problem caused by the difficulty in accurately obtaining the dip angle of the formation, has high noise resistance, and is suitable for large changes in the occurrence of the formation. , Fault identification under the condition of low signal-to-noise ratio of seismic data. Its features include: improving the conventional similar coherence algorithm, so that the input seismic data is divided into two parts, which are the processing result data and the analytical trace data after Hilbert transform, and obtain the coherent algorithm based on the seismic analytical trace; Using the seismic interpretation horizon drift of the target layer as the analysis time window, the coherence attribute is calculated by using the coherence algorithm based on the seismic analysis trace; the obtained coherence attribute is used as input, and the coherence attribute is enhanced by the histogram averaging method, so that the coherence Enhanced attributes to identify the fault development characteristics of the target interval to achieve the purpose of improving the fault identification effect.

Description

technical field [0001] The invention relates to the field of petroleum exploration seismic data processing and interpretation, in particular to a coherent enhancement fault identification method based on seismic analysis traces under horizon constraints. Background technique [0002] Fault identification has always been an important and difficult point in geophysical research. With the deepening of oil and gas exploration and development, the research on fault identification and interpretation has been paid more and more attention: in the seismic exploration stage, fine fault interpretation is helpful to find exploration targets and is of great significance to find commercially valuable oil and gas reservoirs; In the stage of oilfield development, fine identification of faults is of great significance for dividing different reserve units and oil and gas systems, deploying well locations, and formulating effective development plans and measures. [0003] The current methods ...

AI Technical Summary

Problems solved by technology

This method can overcome the problem caused by the difficulty in obtaining the formation dip angle accurately, improve the noise resistance, and provide new ideas and effective technical support for fault identification under the conditions of large formation changes and low signal-to-noise ratio of seismic data

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