Advanced Study of Seismic and Well Logs in the Hydrocarbon Prospectivity of Siram Field, Niger Delta Basin

Oguadinma, V.O.; Aniwetalu, Emmanuel U.; Ezenwaka, Kingsley; Ilechukwu, Juliet N.; Amaechi, Pascal Ogechukwu; Ejezie, Ezinne Okwukweka

doi:10.1130/abs/2017am-296312

Cited by 1 publication

(1 citation statement)

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“…Air pollution resulting from oil and gas reservoir exploitation [4,[11][12][13][14]] is a significant environmental concern. Throughout the various stages of oil and gas production, including extraction, processing, and transportation, a wide range of pollutants are released into the atmosphere, posing risks to human health and the environment.…”

Section: Air Pollution By Oil and Gas Exploitationmentioning

confidence: 99%

Application of Machine Learning to Air Pollution Studies: A Systematic Review

Ukachukwu,

Uzoamaka,

Elochukwu

2023

JENRR

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Air pollution is a serious global issue that threatens human life and health, as well as the environment. Machine learning algorithms can be used to predict air pollution level data from both natural and anthropogenic activities. Environmental and government agencies can use these speculations to issue air pollution alerts. This review work is an attempt at the recent status and development of scientific studies on the use of machine learning algorithms to model air pollution challenges. This study uses the scientific web as a primary search engine and covers over 100 highly peer-reviewed articles from 2000-2022. Therefore, this review paper aims to highlight the various application methods of machine learning, notably data mining, in air pollution control and monitoring. It also comprehensively analyses published works by renowned scholars and authors worldwide, discussing how machine learning has been used in mitigating air pollution. By examining the chronological trends of machine learning in air pollution, this review paper provides an up-to-date account of the successes achieved in regulating air pollution using machine learning techniques. Additionally, it identifies areas that require further research, critically analyzing the current state of knowledge and potential research directions.

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