International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

Investigating the Frontiers of Deep Learning and Machine Learning: A Comprehensive Overview of Key Challenges in Missing Well Log Estimation

Nwankwo C.GDepartment of Computer Science, Chukwuemeka Odumegwu Ojukwu University Uli, NigeriaAlade S.MDepartment of Computer Science, Nnamdi Azikiwe University Awka, NigeriaAgbakwuru O.ADepartment of Computer Science, Nigeria Imo State University Owerri, NigeriaAmanze B.CDepartment of Computer Science, Nigeria Imo State University Owerri, NigeriaAkawuku G.IDepartment of Computer Science, Nnamdi Azikiwe University Awka, Nigeria

Vol 8 No 7 (2024): Volume 8, Issue 7, July 2024 | Pages: 1-15

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-07-2024

doi Logo doi.org/10.47001/IRJIET/2024.807001

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Abstract

Well logging is a significant method of geological formation description and resource assessment in the exploration and development of oil, natural gas, minerals, groundwater, and sub-surface thermal energy, as well as geotechnical engineering and environmental research. However, the challenging problem of estimating well logging data always exists because well logs can only be measured through a drilling process involving costly and time-consuming field trials. This study provides a brief overview of Deep Learning (DL) models and examines the well-logging issues in estimating missing well-log data. In addition, it discusses a literature review focusing on the application of DL models for well-log estimation. The outcome of this exploratory work necessitates suitable requirements for the design and implementation.

Keywords

Artificial intelligence, Data sparsity, Deep learning, estimation, Machine learning, Well logging


Citation of this Article

Nwankwo, C.G, Alade, S.M, Agbakwuru, O.A, Amanze, B.C, & Akawuku, G.I. (2024). Investigating the Frontiers of Deep Learning and Machine Learning: A Comprehensive Overview of Key Challenges in Missing Well Log Estimation. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(7), 1-15. Article DOI https://doi.org/10.47001/IRJIET/2024.807001

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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