A Review of Predictive Analytics Models in the Oil and Gas Industries

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A Review of Predictive Analytics Models in the Oil and Gas Industries

Enhancing the management and monitoring of oil and gas processes demands the development of precise predictive analytic techniques. Over the past two years, oil and its prediction have advanced significantly using conventional and modern machine learning techniques. Several review articles detail th...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Sensors
المؤلف الرئيسي:	R Azmi P.A.; Yusoff M.; Mohd Sallehud-din M.T.
التنسيق:	Review
اللغة:	English
منشور في:	Multidisciplinary Digital Publishing Institute (MDPI) 2024
الوصول للمادة أونلاين:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197177928&doi=10.3390%2fs24124013&partnerID=40&md5=e63daeb10484ad9379773dd24f29da8c

مواد مشابهة

A Review of Predictive Analytics Models in the Oil and Gas Industries
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منشور في: (2023)

Green criminology in Malaysia’s palm oil industry: deforestation, ecological footprints, and corporate environmental responsibility
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Internal controls and fraud-empirical evidence from oil and gas company
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A SYSTEMATIC LITERATURE REVIEW ON ENVIRONMENTAL ISSUES AND CHALLENGES TOWARDS THE PALM OIL INDUSTRY
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Symmetric and asymmetric impacts of the palm oil industry on carbon dioxide emissions in Malaysia based on linear and nonlinear autoregressive distributed lag models
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Groundwater level prediction using machine learning models: A comprehensive review
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Optical gas sensing properties of nanoporous Nb2O5 films
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PALESTINE AND THE PALESTINIAN LOCAL AUTHORITIES: AN ANALYTICAL PERSPECTIVE
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Quantum kerr nonlinear coupler: Analytical versus phase-space method
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Groundwater level prediction using machine learning models: A comprehensive review
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Deep Learning-Based Prediction Model for Crude Palm Oil Prices Using News Sentiment Analysis with Sliding Window
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The Accuracy Verification of Recent Global Geopotential Model based on GNSS/Levelling Data on Ground Control Points in Johor
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