Machine Learning in Oil and Gas Industry

Sayani, Jai Krishna Sahith; Lal, Bhajan

doi:10.1007/978-3-031-24231-1_2

Cited by 1 publication

(2 citation statements)

References 38 publications

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“…The rapid development of the fourth industrial revolution, or Industry 4.0, aims to transform traditional industries into smart ones by incorporating innovative technologies. Industry 4.0, applied in the hydrocarbon industry, is called 'Oil & Gas 4.0' (O&G 4.0) implemented to improve field operations [4].…”

Section: Introductionmentioning

confidence: 99%

“…O&G 4.0 is characterized by the implementation of intelligent systems in digitization and automation processes [5]. This industry implements technology such as Internet of Things (IoT), artificial intelligence (AI), machine learning [4], digital twin [6] and robotic advances [7]. According to the systematic review carried out by Aydin and Temizel [8], drones, known as remote piloted aircraft systems (RPAS) or unmanned aerial vehicles (UAVs), are part of the robotic advances adapted to the O&G 4.0 industry.…”

Section: Introductionmentioning

confidence: 99%

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Advances in Research on the Use of Drones in Production and Transportation Engineering in the Hydrocarbons Industry: A Bibliometric Analysis

ROMÁN-PIEDRA,

SOLÓRZANO,

CARRIÓN-MERO

2023

WIT Transactions on Ecology and the Environment

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Unmanned aerial vehicles are considered a part of emerging technologies designed to facilitate, improve, and transform the operational efficiency of industries with significant capital and assets, such as hydrocarbons. Hydrocarbon projects require comprehensive management in the production and transportation processes, where the application of drones plays a fundamental role by minimizing the exposure of personnel in high-risk activities, improving the efficiency of operations and the integrity of assets, and significantly reducing costs and time in the field. This study aims to conduct a bibliometric analysis and systematic review of the relationship between drones and the hydrocarbon industry, focusing on production and transportation processes through bibliometric techniques and evaluation of case studies for the analysis, classification, and description of key issues, methodologies, and trends worldwide. The research methodology consisted of three phases: (i) conceptualization of study variables and database combinations; (ii) bibliometric analysis using VOSviewer and bibliometric software; and (iii) focalization on systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method. Bibliometric analysis collected data from 1985 to 2023, with 143 scientific publications indexed in the Scopus and WoS databases. The results showed a growing trend in the annual publications of drones and their application in the hydrocarbon industry, focusing on safety issues, pipeline inspections and storage tanks, and environmental monitoring generated by methane emissions and oil spills. In the case study analysis, the use of drones with different sensors was demonstrated, among which, the thermal camera, gas detector, LiDAR, EMAT, RGB camera, SWIR, RTK, and methane sensors stood out.

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Section: Introductionmentioning

confidence: 99%