A method and system for predicting the thickness of a thin layer based on a genetic method and a medium
Patent Information
- Application Number
- CN202511514367.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-22
- Publication Date
- 2026-06-26
- Estimated Expiration
- 2045-10-22
AI Technical Summary
Existing technologies suffer from insufficient resolution, reliance on insufficient well data, and difficulty in accurately depicting the spatial distribution characteristics of thin strata in complex geological regions when identifying and predicting deep and thin strata. This leads to discrepancies between the interpretation results and the actual geological conditions, affecting exploration and development and drilling tracking decisions.
A thin-layer stratum thickness prediction method based on genetic analysis is adopted. By analyzing the main controlling factors of stratum distribution, delineating tectonic boundaries, restoring stratigraphic geological models and iterative data models, and combining well inclination calculations, a stratum thickness prediction model is established. This reduces the dependence on seismic data and well network density, and uses sedimentological principles for quantitative prediction.
It improves the accuracy and reliability of thin-layer formation thickness prediction, reduces the requirements for seismic data quality, has a wider range of applications, can guide well location tracking and well location deployment, reduces calibration and rock physics analysis steps, and improves the simplicity and timeliness of operation.
Smart Images

Figure CN121348423B_ABST
Abstract
Citation Information
Patent Citations
Stratum denudation thickness measurement method for superposition basin multi-phase difference upheaval region
CN105093311A
Surface karst reservoir partition prediction method based on landform recovery
CN117786357A