..., 2020, doi: 10.1038/s41592-019-0686-2. corrosion management oilfield chemistry riser corrosion artificial intelligence production chemistry data mining flowline corrosion resistance materials and corrosion corrosion inhibition h2s management anode pipeline corrosion rectifier backfill...

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.... Application of artificial intelligence to predict corrosion rate offers advantages where real high frequency data streams from IoT sensors are analyzed via machine learning algorithm thus providing prediction based on historical experience of specific asset. Data preprocessing is an important step in machine...

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... Intelligent Pipelines, iPipeline, Smart Pipelines, Talking Pipelines, Self-Diagnosing Pipelines , Self_Healing Pipelines , Sustainable Pipelines , and Green Pipelines . One of the common features of next generation pipelines is the use of artificial intelligence (AI). Artificial intelligence (AI...

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... & Technology, Vol. 36, 2020, pp. 55-64. geologist corrosion management h2s management riser corrosion subsurface corrosion geology oilfield chemistry protection artificial intelligence pipeline corrosion well integrity cathodic protection production chemistry subsea system anode electrode...

... for long-term corrosion. Machine learning (ML) is a promising technique for corrosion management and prediction. ML is a subset of artificial intelligence (AI) in which a system is trained using a database. In supervised ML methods, a database of known inputs and outcomes is used to train the model...

... as the based can accelerate the development of other approaches (artificial intelligence (AI) and simulation) has been described. INTRODUCTION External corrosion (EC) is still the leading cause of oil and gas transmission pipeline incidences 1 . The premises of 5-M methodology is to develop strategies...

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