Method and device for identifying near-bit lithology based on intelligent voiceprint identification

US12378877B2 · kind B2 · utility

Assignee

• Institute of Geology and Geophysics, Chinese Academy of Sciences · CN

Inventors

• Muming Xia · Beijing, CN
• Canyun Wang · Beijing, CN
• Changchun Yang · Beijing, CN
• Wenxiu Zhang · Beijing, CN
• Fei Tian · Beijing, CN
• Zongwei LI · Beijing, CN
• Jing Liu · Nanhu, CN

Key dates

• Filing date: Jun 24, 2023
• Grant date: Aug 5, 2025
• Expiry date: Apr 14, 2044

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02A90/30
• WIPO field: Civil engineering
• WIPO sector: Other fields

Abstract

The present disclosure relates to the technical field of acoustic detection while drilling, in particular to a method and a device for identifying near-bit lithology based on intelligent voiceprint identification, including acquiring rock sound data; pre-processing the acquired rock sound data; extracting voiceprint features of pretreated rock sounds; establishing a rock voiceprint feature database; training the intelligent voiceprint identification algorithms according to the lithology labels and voiceprint feature data in the rock voiceprint feature database; intelligently identifying or predicting the rock voiceprint features using the intelligent voiceprint identification algorithms and outputting the lithology identification results. The present disclosure can greatly enhance the real-time availability and accuracy of obtaining near-bit stratum lithology data in-site, which can effectively improve the reservoir drilling rate and timely avoid drilling risks.