Contouring method, device, equipment and medium for predicting evolution trend of continental shale sedimentary structure

By performing spectral analysis and astronomical tuning on well logging and core data, an astronomical age scale was constructed, and a sedimentary tectonic evolution trend prediction model was established. This solved the problems of insufficient multi-scale feature capture and unclear orbital period control in existing technologies, and realized the multi-level evolution trend inversion of continental shale sedimentary structures, thereby improving reservoir evaluation and development efficiency.

CN122172344APending Publication Date: 2026-06-09NORTHEAST GASOLINEEUM UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NORTHEAST GASOLINEEUM UNIV
Filing Date
2026-03-26
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies cannot fully utilize the frequency domain information of well logging curves, cannot comprehensively identify the multi-scale evolution of continental shale sedimentary structures, have unclear orbital period control mechanisms, and do not adequately characterize the heterogeneity of sedimentary structures, resulting in low efficiency in reservoir evaluation and development.

Method used

By acquiring well logging and core data, we can identify sedimentary structure types, extract Milankovitch cycle signals through spectral analysis, construct an astronomical age scale, and establish a sedimentary structure evolution trend prediction model by combining Montto Carlo simulation and spectral analysis to invert multi-level evolution trends.

Benefits of technology

It enables efficient and collaborative extraction of multi-scale information on sedimentary structures, provides multi-level evolution trend prediction, improves reservoir evaluation accuracy and development efficiency, and reduces exploration and development risks and costs.

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Abstract

This application discloses a method, apparatus, equipment, and medium for predicting the evolution trend of continental shale sedimentary structures, relating to the field of geological exploration technology. The method includes: acquiring well logging data and core data of the target well section to identify the sedimentary structure type and establish a vertical sequence of sedimentary structures; performing spectral analysis on the well logging data to extract Milankovitch cycle period signals; performing Gaussian bandpass filtering and astronomical tuning on the Milankovitch cycle period signals to construct an astronomical timescale for the target well section; performing spectral analysis based on the astronomical timescale and the vertical sequence of sedimentary structures to obtain periodic change information and the matching correspondence with corresponding geological time cycle values; using Chimontocarro simulation to simulate sedimentary noise on the astronomically tuned data to obtain paleolake level change results; and establishing an evolution trend prediction model for sedimentary structure evolution combinations to invert the multi-level evolution trend of sedimentary structures in the target well section. This improves reservoir evaluation accuracy and development efficiency.
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