Semantic Scholar Open Access 2023 64 sitasi

Current Downhole Corrosion Control Solutions and Trends in the Oil and Gas Industry: A Review

V. Solovyeva Khaled H. Almuhammadi W. Badeghaish

Abstrak

In the oil and gas industry, the presence of aggressive fluids and gases can cause serious corrosion problems. Multiple solutions have been introduced to the industry to minimize corrosion occurrence probability in recent years. They include cathodic protection, utilization of advanced metallic grades, injection of corrosion inhibitors, replacement of the metal parts with composite solutions, and deposition of protective coatings. This paper will review the advances and developments in the design of corrosion protection solutions. The publication highlights crucial challenges in the oil and gas industry to be solved upon the development of corrosion protection methods. According to the stated challenges, existing protective systems are summarized with emphasis on the features that are essential for oil and gas production. Qualification of corrosion protection performance based on international industrial standards will be depicted in detail for each type of corrosion protection system. Forthcoming challenges for the engineering of next-generation materials for corrosion mitigation are discussed to highlight the trends and forecasts of emerging technology development. We will also discuss the advances in nanomaterial and smart material development, enhanced ecological regulations, and applications of complex multifunctional solutions for corrosion mitigation which have become of great importance in recent decades.

Topik & Kata Kunci

Penulis (3)

V

V. Solovyeva

K

Khaled H. Almuhammadi

W

W. Badeghaish

Format Sitasi

Solovyeva, V., Almuhammadi, K.H., Badeghaish, W. (2023). Current Downhole Corrosion Control Solutions and Trends in the Oil and Gas Industry: A Review. https://doi.org/10.3390/ma16051795

Akses Cepat

Lihat di Sumber doi.org/10.3390/ma16051795
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
64×
Sumber Database
Semantic Scholar
DOI
10.3390/ma16051795
Akses
Open Access ✓