Systems and methods for the determination of lithology porosity from surface drilling parameters
US11459882B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 20, 2020 |
| Grant date | Oct 4, 2022 |
| Priority date | — |
| Expiry date | Oct 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/6244
- WIPO fieldCivil engineering
- WIPO sectorOther fields
Abstract
Systems, processes, and computer-readable media for determining lithology porosity of a formation rock from surface drilling parameters using a lithology porosity machine learning model without the use of wireline logging. Lithology porosity at different depths in existing may be determined from the wireline logs. The lithology porosity may be shaly sand, tight sand, porous gas, or porous wet. The lithology porosity machine-learning model may be trained and calibrated using the data from a structured data set having surface drilling parameters from the existing wells and lithology porosity classifications from the wells. The lithology porosity machine learning model may then be used to determine a lithology porosity classification for a new well without the use of wireline logging.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.