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Quality management of steel in the oil and gas is on the verge of a big change. New technologies automates a lot of the work previously done by experts. On the other hand the operator’s ambitions on digital twins to enable things like turn around simulations require quality management to become more data management. Data capture, quality management and supply chain will become more closely linked together.
Quality management for steel in the oil and gas industry has a long history, dating back to the early days of the industry. The use of steel in oil and gas operations, such as in drilling equipment and pipelines, has always been a critical aspect of the industry, and ensuring the quality of steel has always been a top priority.
One of the earliest examples of quality management in the steel industry can be traced back to the 19th century, when the Bessemer process was invented. This process revolutionized the steel industry by allowing for the mass production of high-quality steel, which was used extensively in the oil and gas industry. As the industry continued to grow and evolve, so too did the standards and regulations governing the quality of steel used in oil and gas operations. In the early 20th century, organizations such as the American Petroleum Institute (API) and the American Society for Testing and Materials (ASTM) were established to develop and maintain standards for the quality of steel used in the industry.
Today, quality management for steel in the oil and gas industry is governed by a combination of industry standards and regulations, as well as internal quality control systems implemented by individual companies. This ensures that the steel used in the industry is of the highest quality and meets the demands of the oil and gas industry. Moreover, while in the past, steel was only being used for oil and gas, now hydrogen is also playing a role and steel needs to meet the right standards that allow this to flow through pipelines. Today’s quality control standards work with ranges and margins within which the data of the manufactured products needs to fall for it to be approved for use. This has worked great in a world that is relatively static. The product improves, but doesn’t radically change and repurpose is selden required.
This is why the future and digitization will bring more developments. While today it is important to ensure that the data falls into specified ranges, having exact data will be radically more important. Exact data is needed in order to train models for predicting when maintenance is needed, viewing turnaround simulations, and calculating unforeseen future uses of the steel. Consequently, also the role of QA/QC will be affected.
But to have a better idea of the future, below we’ll look at 4 main things that will impact quality management in the next few years.
As SteelTrace has recognized these future developments in quality management, what the platform offers is an integrated workflow for QA/QC and data management. SteelTrace connects all parties in the supply chain through blockchain technology, making sure data is structured and standardized and thus allowing for automated verification. But if you want to know more specifically how this can be applied to your company, you can request a product demo.