Method utilizing RGB frequency mixing display to identify biolithite limestone distribution

Abstract

The invention discloses a method utilizing RGB frequency mixing display to identify biolithite limestone distribution and relates to the petroleum industrial geology engineering field. The method comprises steps that microscopic analysis on rock slices of a single well reservoir is carried out to acquire biolithite limestone reservoir distribution of the single well reservoir, a logging identification template is established according to a logging curve of the single well reservoir and biolithite limestone reservoir distribution of the single well reservoir, a seismic data volume is calibrated according to the logging identification template to acquire a seismic data volume having corresponding characteristics for identifying large biogenic limestone, through solving an RGB frequency mixing display data volume in the seismic data volume, biolithite limestone reservoir distribution of a target reservoir region is predicted. The method is advantaged in that well-seismic combination is excellently utilized, distribution of biolithite limestone of different time stages can be effectively identified, a problem of inaccurate prediction of biolithite limestone reservoir seism of different period stages is solved, planar biolithite limestone distribution of each period is clear, and a logging success rate is improved.

Description

technical field [0001] The invention relates to the field of geological engineering in the petroleum industry, in particular to a method for identifying the distribution of biological limestone by using RGB frequency mixing display. Background technique [0002] Biolimestone reservoirs are widely distributed in China, and conventional earthquake prediction is very difficult due to the large difference in distribution thickness. [0003] At present, only a large set of biological limestone reservoirs with a thickness of 15-20 meters can be distinguished seismically. Affected by the existing seismic resolution, petroleum geologists at home and abroad do not have an effective method for identifying and predicting the distribution of biogenic limestone (especially biogenic limestone of different stages). Set of biolimestone reservoirs. Moreover, the prior art considers many factors in theory, and does not consider the actual drilling situation too much, that is, the well vibra...

AI Technical Summary

Problems solved by technology

Affected by the existing seismic resolution, petroleum geologists at home and abroad do not have an effective method for identifying and predicting the distribution of biogenic limestone (especially biogenic limestone of different stages). biogenic limestone reservoir

Moreover, the existing technology considers many factors in theory, and does not consider the actual drilling situation too much, that is, the well vibration is not well combined, which has caused certain application limitations.

For example, the thickness of biogenic limestone predicted by conventional methods is 15-20m, but in fact, it was found during drilling that the thickness of biogenic limestone is composed of 1-4 thin layers of biogenic limestone and mudstone interbedded in different stages That is to say, the existing technology cannot identify the distribution of biogenic limestone in different stages, let alone clarify the plane distribution of biogenic limestone in each stage

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