The oil and gas sector has been one of the main responsible for the production of energy since the invention of diesel engines, and which has been constantly dealing with strong obstacles thanks to the rise of technologies that have been replacing the use of oil as fuel.
In addition to this obstacle, the huge drop in the price of a barrel of oil in 2020 forced this sector to adapt to a new scenario, where the saving of resources with the objective of reducing costs and gaining performance becomes essential for maintaining the functioning of these industries on the market.
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Although the oil and gas sector has been gradually under pressure due to the environmental impacts generated by the combustion of oil and the popularization of engines powered by electric energy, which tend to be increasingly accessible during the coming years, it is thanks to the use of technology that the sector has the opportunity to remain competitive and overcome adversity
AI IN THE OIL AND GAS SECTOR
2020 was a major accelerator of digital transformation in these industries. Historically less receptive to technology applications in their processes, due to the great complexity that surrounds them, the oil and gas sector this year had the need to adapt to a scenario where the flexibility of processes with the use of artificial intelligence becomes essential so that the obstacles of the crisis are overcome.
In a period where social distancing becomes an obligation, it is companies that manage to make their processes more flexible and better manage their teams in the field that become more adapted to the needs that the period demands.
Data automation via artificial intelligence techniques is perhaps the biggest differentiator for many industries. It is through the extraction and processing of a large number of data that it becomes possible to identify anomalies, loss of performance, and failure mechanisms.
Having the necessary means to carry out this type of analysis, industries have the opportunity to reduce costs through techniques that aim at predicting and preventing failures, which can be up to 17 times cheaper than corrective techniques.
If the period requires a reduction in expenses, it is essential that the oil and gas industry turns its attention to one of the factors that most generate expenses within the operation: corrosion.
HOW AI PROPOSES TO REDUCE COSTS WITH CORROSION
Industries with complex operations such as oil and gas are inserted in very aggressive environments for their assets. According to NACE, approximately 3% of an industrialized country’s GDP is spent on corrosion prevention, 50% of which is related to atmospheric corrosion.
In view of the sector’s need to reduce costs, digital transformation is the tool that has enabled, through software, greater control over the operation as a whole.
With the use of Artificial Intelligence, aligned with Digital Twins, and IoT, the sector now has access to platforms with a continuous flow of data essential for the analysis of asset degradation, allowing the automation of tasks and management of documentation.
In addition to the easy visualization of the operation as a whole, artificial intelligence algorithms allow calculations on levels of surface degradation to be made, thus resulting in predictions that may in the future result in fewer costs for maintenance, inspection, and above all, an operation uninterrupted.
The need for digitalization of these companies becomes crucial for them to maintain a profitable operation, generating profits, security, and fewer impacts on the environment.
Having tools that assist decision making based on a continuous flow of data has proven to be the ideal alternative to overcome the pressures suffered by the oil and gas industries.
The application of software aimed at the specific needs of each operation with the objective of optimizing activities, manpower, and profit, has become increasingly essential for this sector to maintain its leadership position and adapt to the new digital era.
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