Lamina recognition method and device

Abstract

The invention provides a lamina recognition method and device. The method includes the steps that a lamina recognition model is established by combining a formation microscanner imaging (FMI) image lamina recognition template with an FMI image lamina color aberration recognition standard, and lamina recognition is carried out on an FMI image of a core interval according to the lamina recognition model; if the lamina recognition rate of the lamina recognition model on the FMI image of the core interval is larger than a preset threshold value, lamina recognition is carried out on an FMI image of a target interval through the lamina recognition model. By means of the method, the requirement for recognizing laminas and thin laminas of a deeply-buried ultra-deep reservoir with the depth larger than 6000 m can be met so as to carry out quantitative evaluation, and the recognition accuracy rate is high.

Description

technical field [0001] The invention relates to the field of exploration and development of oil and gas reservoirs, in particular to a method and device for identifying laminae. Background technique [0002] Laminae have a great influence on the properties of reservoirs, especially the laminae developed in low-porosity sandstone reservoirs with a burial depth greater than 6000m, which not only affect the vertical and lateral heterogeneity of the reservoir, but also affect the test of the reservoir. Therefore, the precise and quantitative description of laminae is of great significance for oil and gas development. [0003] At present, there are mainly three methods for the study of reservoir laminae in the field of oil and gas exploration: 1. Direct geological observation method based on actual drilling cores; 2. Observation and description method based on sandstone reservoir lamina in outcrop areas; Lamina description method for conventional logging data such as resistivity...

AI Technical Summary

Problems solved by technology

The above three methods are commonly used reservoir lamina analysis methods, which have played an important role in the process of oil and gas exploration, but there are still limitations: Method 1. The actual drilling core observation method is greatly affected by the number of cores, and the ultra-deep oil-gas-bearing It is difficult and costly to drill and coring in reservoirs, and the coring length of a single well only accounts for 2%-15% of the reservoir interval, so it is impossible to evaluate the laminae of all oil and gas bearing layers; Method 2 is based on the sandstone reservoir laminae in outcrops Although the layer observation and description method can observe and describe all-layer lamina, it still cannot satisfy the laminae evaluation of ultra-deep reservoirs due to the large difference between surface outcrops and ultra-deep reservoirs; The description method can only speculate that there are densely developed laminae with a certain thickness above 20-40m, and it is impossible to carry out quantitative evaluation on a single thin laminae

[0004] The above three methods cannot meet the needs of identifying ultra-deep reservoir laminae and thin laminae with burial depth greater than 6000m for quantitative evaluation

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