Method and device for removing sedimentary background under high-dimensional seismic data input

Abstract

The invention discloses a method and device for removing the sedimentary background under high-dimensional seismic data input. The method comprises carrying out Wheeler conversion on high-dimensionaloriginal seismic data of a reservoir to be measured to obtain high-dimensional Wheeler domain seismic data; carrying out cluster analysis processing on the high-dimensional Wheeler domain seismic datato obtain a cluster result; in the cluster result, respectively calculating the average value of seismic trace data of a single cluster on the same sampling point, taking the average value as the seismic data of the corresponding cluster on the same sampling point, and forming cluster seismic trace data; carrying out linear superposition processing on the cluster seismic trace data to obtain a linear superposition vector, and determining sedimentary background data according to the linear superposition vector; and carrying out Body operation on the high-dimensional Wheeler domain seismic dataand the sedimentary background data to obtain lithology seismic data of the reservoir to be measured. By means of all the embodiments, the sedimentary background can be removed accurately and efficiently, and the accuracy of the fine seismic sedimentology research is improved.

Description

technical field [0001] The invention relates to the field of petroleum geophysical exploration, in particular to a method and a device for removing sedimentary background under input of high-dimensional seismic data. Background technique [0002] Lithologic-stratigraphic oil and gas reservoirs have great exploration potential and a wide range of fields, and are the main body of oil and gas exploration in my country. Seismic sediment analysis technology has been deeply applied in the exploration and development of various oil and gas fields. However, coal measures, volcanic rocks and other strata deposits form strong reflection layers, which often shield the upper and lower reservoirs; in addition, when the lithology changes, the corresponding seismic reflection waves will change with the change of seismic reflection parameters, It will also lead to poor similarity between seismic traces and low correlation values, which will affect the identification of lithologic reservoirs...

AI Technical Summary

Problems solved by technology

However, coal measures, volcanic rocks and other strata deposits form strong reflection layers, which often shield the upper and lower reservoirs; in addition, when the lithology changes, the corresponding seismic reflection waves will change with the change of seismic reflection parameters, It will also lead to poor similarity between seismic traces and lower correlation values, which will affect the identification of lithologic reservoirs

Therefore, due to the influence of sedimentary factors, it is difficult to predict paleochannels and abnormal sedimentary bodies with existing seismic sedimentary analysis techniques

[0003] Aiming at the removal of strong reflective strata such as coal seams and volcanic rocks, more in-depth research has been done at home and abroad, mainly using the matching tracking algorithm to match the strong reflection information in the seismic signal, eliminating the shielding effect of strong reflection on the effective reflection information of the target layer, However, the matching pursuit algorithm also has shortcomings in removing strong axes. For example, the effect of removing intermittent strong axes is poor, and the wavelet library is prone to redundancy, resulting in a large amount of calculation, etc.

In addition, in order to improve the accuracy of reservoir analysis, it is usually necessary to analyze a large amount of data, resulting in a higher dimension of input data during operation, which further increases the amount of calculation and affects the efficiency of data processing

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