Prediction and Computation of Corrosion Rates of A36 Mild Steel in Oilfield Seawater

Paul, Subir; Mondal, Rajdeep

doi:10.1007/s11665-018-3385-8

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…This cycle will be repeated until the set condition is satisfied. [12] Optimization of BP neural network based on genetic algorithm is to optimize the weights and thresholds of BP neural network by genetic algorithm [13]. Each individual in the population contains all the weights and thresholds of a network.…”

Section: Genetic Algorithm To Optimize Bp Neural Networkmentioning

confidence: 99%

Corrosion Prediction for Naphtha and Gas System of Atmospheric Distillation Tower Based on Artificial Neural Network and Genetic Algorithm

Li¹

2018

OGCE

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The corrosion of low-temperature sections of a company's atmospheric and vacuum distillation unit was analyzed. Corrosion rate prediction model was established using BP neural network based on the corrosion detection data detected in the sewage on top of the tower over a period of time. In this model, the pH value, Cl ion concentration, Fe ion concentration and sulfide concentration of the sewage discharged from the top of the tower are taken as the input data, and the average corrosion rate as the output data, the results show that the prediction error is large. The BP neural network was optimized using the genetic algorithm. The optimized model could accurately predict the corrosion of the atmospheric unit at low temperatures. The corrosion rate prediction model was used to investigate the effect of each variable on the corrosion rate through the single factor change and the results could reflect the relationship between detected corrosion data and corrosion rate in the sewage on top of the atmospheric tower.

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Section: Genetic Algorithm To Optimize Bp Neural Networkmentioning

confidence: 99%

Corrosion Prediction for Naphtha and Gas System of Atmospheric Distillation Tower Based on Artificial Neural Network and Genetic Algorithm

Li¹

2018

OGCE

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“…With the rapid development of social economy, electroplating technology has been applied in aerospace, [1] military industry, [2] machinery manufacturing and other fields, accompanied by the production of a large number of electroplating wastewater, which is converted into electroplating sludge through precipitation and pressure filtration. Electroplating sludge contains a large number of heavy metals such as iron, chromium, zinc, copper and nickel [3] .…”

Section: Introductionmentioning

confidence: 99%

Superb Adsorption of Congo Red by Zn‐Cr Layered Bimetallic Hydroxides Prepared from Electroplated Sludge

Kong

Xie

et al. 2022

ChemistrySelect

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It is a challenge to achieve the harmless treatment and resourceful use of various metal elements in electroplating sludge, and converting them into functional materials has become an important technological direction. Based on the existence of various metal ions in electroplating sludge, sodium oleate intercalated Zn−Cr‐LDHs (Zn−Cr‐layered double hydroxides) were prepared by two‐phase solution heating method. The adsorption process of the prepared LDHs for Congo red (CR) in aqueous solution can be described by Langmuir isotherm model and pseudo‐second‐order kinetic model and the maximum adsorption capacity is 2750.43 mg/g. The results of TEM and XPS show that the adsorption mechanism is dominated by electrostatic adsorption, ion exchange process, hydrogen bonding interaction and surface complexation. Therefore, this paper provides a strategy for recovering metal elements from electroplating sludge to prepare LDHs adsorption materials with ultra‐high adsorption capacity.

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“…Steel is the most widely used material in marine engineering, and the strong marine corrosive environment poses a serious threat to steel and other marine engineering materials, which causes huge economic losses every year [1][2][3]. Ti and Ti alloys have excellent corrosion resistance in the marine environment, so they are known as "marine metals" and have the potential for large-scale applications in marine engineering [4].…”

Section: Introductionmentioning

confidence: 99%

Effect of Powder Particle Size and Shape on Appearance and Performance of Titanium Coatings Prepared on Mild Steel by Plasma Cladding

Wang

Gao

et al. 2022

Coatings

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The preparation of Ti coatings on mild steel can both effectively improve the corrosion resistance of the substrate and reduce the application cost of Ti, which is an effective measure to improve the service performance of mild steel in the marine environment. Plasma cladding technology is an efficient method for preparing metal coatings, and the type of powder is a key process parameter for coating preparation. In this work, high-performance Ti coatings are prepared on the surface of mild steel by plasma cladding technology, and the effects of different particle sizes and shapes of Ti powders on the surface morphology, microstructure and properties of the coatings are studied. The results show that powder particle size and sphericity are the key factors affecting the morphology, structure and service performance of Ti coatings. After 1000 h of salt spray test, the spherical powder cladding coatings only suffer slight corrosion, while the irregular shape powder coating is more severely corroded. Powder cladding with moderate powder particle size and good sphericity have a smoother coating and fewer defects. Ti powders with different particle sizes and shapes all have the diffusion of Fe element during the cladding process. The surface of Ti coating prepared by spherical powder are dominated by α-Ti and Fe0.2Ti0.8 phases, while the surface of Ti coating prepared by irregular shape powder is dominated by FeTi and Ti2Fe. The interface between the coating and the substrate shows metallurgical bonding, and the increase in Ti-Fe brittle phase will deteriorate the mechanical properties and corrosion resistance of the coating. The shear strength of coatings prepared from spherical Ti powders of 75–150 μm can reach 105.18 MPa, the corrosion potential is the most positive (−0.2206 V), and the self-corrosion current density is the lowest (6.220 × 10−8 A/cm2).

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Prediction and Computation of Corrosion Rates of A36 Mild Steel in Oilfield Seawater

Cited by 8 publications

References 15 publications

Corrosion Prediction for Naphtha and Gas System of Atmospheric Distillation Tower Based on Artificial Neural Network and Genetic Algorithm

Corrosion Prediction for Naphtha and Gas System of Atmospheric Distillation Tower Based on Artificial Neural Network and Genetic Algorithm

Superb Adsorption of Congo Red by Zn‐Cr Layered Bimetallic Hydroxides Prepared from Electroplated Sludge

Effect of Powder Particle Size and Shape on Appearance and Performance of Titanium Coatings Prepared on Mild Steel by Plasma Cladding

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