Method and apparatus for automatically recognizing electrical imaging well logging facies

US11003952B2 · kind B2 · utility

Assignee

• PetroChina Company Limited · CN

Inventors

• Zhou Feng · Beijing, CN
• Hongliang Wu · Beijing, CN
• Ning Li · Riverview Drive, CN
• Kewen Wang · Beijing, CN
• Peng Liu · San Diego, US
• Yusheng Li · Taizhou City, CN
• Huafeng Wang · Beijing, CN
• Binsen Xu · Beijing, CN

Key dates

• Filing date: Jul 9, 2019
• Grant date: May 11, 2021
• Expiry date: Jul 29, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.