Machine learning - A novel approach of well logs similarity based on synchronization measures to predict shear sonic logs-Reference-Cited by-同舟云学术

Machine learning - A novel approach of well logs similarity based on synchronization measures to predict shear sonic logs

Published:2021-08 Issue: Volume:203 Page:108602
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Ali Muhammad,Jiang Ren,Ma Huolin,Pan Heping,Abbas Khizar,Ashraf Umar,Ullah Jar

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference38 articles.

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4. Petrophysical analysis of well logs for reservoir evaluation: a case study of BKadanwari^ gas field, middle Indus basin, Pakistan;Ali;Arab. J. Geosci.,2019

5. Building a rock physics model for the formation evaluation of the Lower Goru sand reservoir of the Southern Indus Basin in Pakistan;Ali;J. Petrol. Sci. Eng.,2020

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