Coarse-grained pyroclastic rock identification method and device, and electronic equipment

Abstract

The embodiment of the application provides a coarse-grained pyroclastic rock identification method and device, and electronic equipment. The method comprises the following steps: distinguishing volcanic rock from sedimentary rock on a time-frequency electromagnetic profile corresponding to time-frequency electromagnetic data in a target area according to preset difference characteristics of the volcanic rock and the sedimentary rock; estimating the distribution profile of a volcanic rock body according to the time-frequency electromagnetic profile after the volcanic rock is distinguished fromthe sedimentary rock and pre-acquired seismic data of the target area; and determining a prediction result of coarse-grained pyroclastic rock distribution in the target area by applying a pre-acquiredmulti-parameter joint reconstruction wave impedance inversion mode based on the distribution profile of the volcanic rock body and the pre-acquired logging data corresponding to the target area. According to the application, coarse-grained pyroclastic rock can be effectively identified in a composite volcanic body and the spatial distribution range of the coarse-grained pyroclastic rock can be predicted accurately, so that the efficiency and accuracy of determining exploration and development targets in volcanic hydrocarbon reservoirs can be effectively improved.

Description

technical field [0001] This application relates to the technical field of oil and gas geological exploration and development, in particular to a method, device and electronic equipment for identifying trachyte pyroclastic rocks. Background technique [0002] The storage space of trachy pyroclastic rock is dominated by gravel / intergranular pores, followed by fractures and dissolution pores and fractures. Compared with the storage space of trachytic lava, it is more developed and can be used as the dominant reservoir to store oil and gas. Therefore, it is of great significance to accurately characterize the distribution range of trachytic pyroclastic rocks for the exploration and development of volcanic rock reservoirs. However, because trachyte pyroclastic rocks are often associated with trachyte pyroclastic rocks, basalts, etc., and have rapid vertical and lateral changes and poor distribution regularity, the prediction of trachyte pyroclastic rocks is still a worldwide prob...

AI Technical Summary

Problems solved by technology

Among them, rock ore identification and logging data analysis methods are limited by factors such as coring section, drilling number, and logging series. The identification of volcanic rocks is limited to a certain point, and the identification and prediction of spatial distribution cannot be realized; Realize the identification of volcanic rock mass, but due to in

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