Statistical feature engineering using discrete wavelet transform: a tool for improving the prediction of compressional and shear sonic travel time logs-Reference-Cited by-同舟云学术

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Statistical feature engineering using discrete wavelet transform: a tool for improving the prediction of compressional and shear sonic travel time logs

Published:2023-12-18 Issue: Volume: Page:1-22
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Kaleem Waquar¹,Khan Kashan Ahmed¹,Saxena Amit¹^ORCID

Affiliation:

1. Department of Petroleum and Geoengineering, Rajiv Gandhi Institute of Petroleum Technology, Jais, India

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2023.2292781

Reference38 articles.

1. A new approach for optimizing productivity/injectivity in naturally fractured reservoirs based on fracture network detection using Fourier – wavelet transform analysis

2. Real-time prediction of Litho-facies from drilling data using an Artificial Neural Network: A comparative field data study with optimizing algorithms

3. Comparative study of homogeneous ensemble methods with conventional ML classifiers in litho-facies detection using real-time drilling data

4. AI Driven Approach to Predict Sonic Response Utilizing Typical Formation Evaluation Logs

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