This research aims to investigate the effects of seawater parameters like salinity, pH, and
temperature on the external corrosion behaviour and microhardness of offshore oil and gas …

Pitting corrosion is considered to be one of the most dangerous failure forms of offshore
steel structures, and corrosion depth is treated as an important indicator of corrosion …

This paper proposes a practical implementation of robust ensemble learning models for
accurate prediction of the internal corrosion rate in oil and gas pipelines. A correct …

Internal and uniform corrosion caused by the presence of corrosive gases CO 2 and/or H 2 S
in the inner stream is the major inherent concern of the oil and gas industry regarding its …

Energy industry is losing billions of dollars each year due to corrosion. However, publicly
accessible datasets on pipeline corrosion are limited, making it difficult to accurately predict …

Subsea oil and gas pipelines are commonly designed with 3–6 mm internal corrosion
allowance added to pipeline wall thickness often without pragmatic thought. The corrosion …

This paper aims to predict the failure pressure of corroded offshore pipelines, employing
different machine learning techniques. To this end, an efficient finite element based …

Oil and gas pipelines are under great threat of corrosion due to the harsh service
environment. It is critical to predict corrosion for the safe service of pipelines. Classical …

Seawater leakage commonly leads to corrosion in the inner lining of submarine bimetallic
pipes, with significant financial implications for the offshore oil and gas production industry …

Prediction of corrosion rate of steel structure in seawater is a challenging task for design and
corrosion engineers for existing as well as new structures, due to wide variation of its …