Oil and gas flow anomaly detection on offshore naturally flowing wells using deep neural networks-Reference-Cited by-同舟云学术

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Oil and gas flow anomaly detection on offshore naturally flowing wells using deep neural networks

Published:2024-11 Issue: Volume:242 Page:213240
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Bayazitova Guzel^ORCID,Anastasiadou Maria^ORCID,dos Santos Vitor Duarte^ORCID

Publisher

Elsevier BV

Reference74 articles.

1. Application of adaptive neuro-fuzzy inference system and data mining approach to predict lost circulation using DOE technique (case study: Maroon oilfield);Agin;Petroleum,2020

2. Explainable and interpretable anomaly detection models for production data;Alharbi;SPE J.,2022

3. An anomaly detection model for oil and gas pipelines using machine learning;Aljameel;Computation,2022

4. Deep learning and time-series analysis for the early detection of lost circulation incidents during drilling operations;Aljubran;IEEE Access,2021

5. Application of machine learning methods in modeling the loss of circulation rate while drilling operation;Alsaihati;ACS Omega,2022

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