Method and system for intelligent removal of multi-dimensional logging data outliers
US12386798B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2024 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Jan 30, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention is in the field of geological measurement, and particularly relates to a method and system for intelligent removal of multi-dimensional logging data outliers, aiming to solve the problem that it is difficult to achieve stable parameter acquisition in the drilling process when there are more outliers in the prior art. The present invention comprises: acquiring a multi-dimensional logging curve; obtaining two-dimensional logging curve data by using the Umap dimensionality reduction algorithm to perform dimensionality reduction; establishing a first data point index of the multi-dimensional logging curve and the two-dimensional logging curve data; obtaining valid logging data by processing outliers with an isolation forest algorithm based on the two-dimensional logging curve data; acquiring a second data point index based on the first data point index and valid logging data; finding marked data points where the second data point index exists in the multi-dimensional logging curve data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.