Intelligent modeling method for rock mechanical properties of tight sandstone reservoir

By integrating 3D seismic, well logging, and rock mechanics experimental data, and combining fault structures, a quantitative fitting relationship and attenuation model were established. This solved the problem of insufficient accuracy in the modeling of tight sandstone reservoirs in existing technologies, and achieved high-precision and reliable rock mechanics parameter modeling, thereby improving modeling efficiency and model realism.

CN122263601APending Publication Date: 2026-06-23CHENGDU TECH UNIV
0 Cites 0 Cited by

Patent Information

Application Number
CN202610290476.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-11
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing methods for modeling the rock mechanical properties of tight sandstone reservoirs suffer from insufficient accuracy and poor reliability due to reliance on well point interpolation or low-resolution seismic data, resulting in inaccurate characterization of reservoir heterogeneity, ineffective integration of multi-source data, and lack of quantitative consideration of fault disturbance.

Method used

By integrating 3D seismic, well logging, and rock mechanics experimental data, a quantitative fitting relationship between static rock mechanics parameters and sand-storage ratio is established. Combined with fault structure modeling, the lithological distribution is finely characterized. Furthermore, the rock mechanics parameters are corrected through the quantitative attenuation relationship of fault distance, thus constructing a high-precision 3D rock mechanics property model.

Benefits of technology

It achieves high-precision characterization of reservoir lateral heterogeneity, improves the realism and reliability of the model, enhances modeling efficiency, supports automated modeling of various rock mechanics parameters, and has good parameter scalability.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a compact sandstone reservoir rock mechanics attribute intelligent modeling method. The method comprises the steps that three-dimensional seismic interpretation data, logging data and rock mechanics experiment data are acquired; establishing a tight sandstone reservoir three-dimensional geologic structure model fused with the fault structure; calculating to obtain a quantitative fitting relationship between the static rock mechanical parameters and the sand storage ratio; a lithology factor data body is extracted from the three-dimensional seismic interpretation data, the lithology factor data body is judged, three-dimensional space distribution of sandstone and mudstone is generated, and therefore a three-dimensional sand storage ratio distribution model is obtained; based on the three-dimensional sand storage ratio distribution model and the quantitative fitting relation, rock mechanical parameter initial values of all the grid units are calculated, assignment and fault correction are conducted on the three-dimensional geologic structure model, and a final three-dimensional rock mechanical attribute model is obtained. According to the method, multi-source data fusion and fault disturbance quantitative modeling are achieved, and the problems that according to an existing method, reservoir heterogeneity description is insufficient, the physical basis of a model is insufficient, and fault zone modeling reliability is low are solved.
Need to check novelty before this filing date? Find Prior Art