Formation rock and soil parameter testing method based on controllable neutron source, ground acquisition computer, system, and computer-readable storage medium

By employing a controlled neutron source-based method for testing formation soil and rock parameters, and utilizing a pre-set dual neural network model and a controlled neutron source measurement device, the problem of the inability of downhole static cone penetration testing equipment to measure physical parameters has been solved. This method enables accurate analysis of underground formation physical parameters and is applicable to marine engineering exploration.

WO2026137618A1PCT designated stage Publication Date: 2026-07-02RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN
Filing Date
2025-03-18
Publication Date
2026-07-02

AI Technical Summary

Technical Problem

Existing downhole static cone penetration testing equipment can only measure in-situ mechanical parameters, which is insufficient to meet the needs of new energy exploration for in-situ formation mechanical and physical parameters, resulting in inaccurate measured geotechnical parameter data.

Method used

A method for testing geological soil and rock parameters based on a controllable neutron source is adopted. By acquiring synthetic data of soil and rock mechanics and physical properties as well as in-situ measured data, a pre-set dual neural network model is used for training to construct a geological soil and rock parameter prediction model. Combined with a controllable neutron source measurement device to acquire density and porosity data, the key physical parameters of underground strata can be effectively measured.

Benefits of technology

It enables accurate analysis of key physical parameters of underground strata, provides more comprehensive data on strata physical parameters, and improves the comprehensiveness and accuracy of strata characteristic analysis, making it suitable for the implementation of new energy projects in complex geological environments.

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Abstract

Disclosed in the present invention are a formation rock and soil parameter testing method based on a controllable neutron source, a ground acquisition computer, a system, and a computer-readable storage medium. The method comprises: acquiring geomechanical and physical property synthetic data and geomechanical and physical property in-situ measured data, and preprocessing same to obtain target rock and soil synthetic data and target rock and soil in-situ measured data; determining a preset dual neural network model, and performing model training on the preset dual neural network model on the basis of the target rock and soil synthetic data and the target rock and soil in-situ measured data to obtain a formation rock and soil parameter prediction model; and acquiring current geomechanical and physical property in-situ measured data, inputting same into the formation rock and soil parameter prediction model, and outputting a formation rock and soil parameter prediction result. In the present invention, by combining a controllable neutron source, cone penetration test, and a data processing method, and introducing a neural network model, effective measurement and accurate analysis of key formation parameters can be implemented, thereby obtaining more accurate formation parameter data.
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