How artificial intelligence is advancing the digitization of the energy sector

Due to COVID-19 and the broken OPEC pact, the oil and gas industry is going through significant changes and seeing a price increase. Major nations like Saudi Arabia, which has lent Pakistan oil worth US$3 million, are on the verge of terminating the agreement owing to non-payment.

 

The oil and gas sector has become complex as a result of this political and economic instability. The desire for more customer-centric services and the push for cleaner energy are two recent developments that are further agitating the shareholders. Players in the oil and gas business are being compelled to thoroughly reevaluate their operations, assets, and value chains in the energy sector.

 

Unbelievable news about the oil and gas industry reversing its course to go in the opposite direction of a tailwind keep coming out. By 2050, it is predicted that wind and solar energy would account for up to 70% of the world's electricity output. More research revealed that by 2033, electric vehicles will account for 50% of all new cars sold worldwide. The usage of renewable energy in automobiles is already being closely observed and modified in response to technological advancements. Given all the recent developments, the energy sector is undergoing significant changes because to advancements in digital technology.

 

The energy sector should approach digital transformation like any other business avenue in order to introduce it to the sector. On the level of purpose, objective, and tactics, they ought to deliver innovation and efficient solutions.

 

However, we cannot draw the conclusion that the energy sector is failing to invest in digitization. According to reports, during the past few years, energy corporations have increased their investments in digital technology, with global investment growing 20% yearly since 2014. In 2016, the investment soared to US$47 billion. According to projections, this will increase even further as oil-focused digital services increase investment from the current $5 billion annually to nearly $30 billion annually by 2025.

 

As a result, the energy industry is now willing to adopt a shift. The need to reduce carbon emissions and address the demand by keeping an eye on oil reserves in a cost-effective manner is growing as new technology breakthroughs arise. The energy industry typically adopts new labour tactics and makes data-driven decisions as it moves into the next phase of development.

Oil reservoir mapping with artificial intelligence:

There is a false impression that using artificial intelligence (AI) as a cutting-edge strategy in the energy sector is a bad idea. However, cloud-based AI platforms are being created to analyse subsurface geophysical data, dispelling the illusion. The use of a cloud-based source to track data implies the provision of quick, accurate solutions. With AI's assistance in detecting and locating subterranean oil resources, drilling techniques in the oil and gas business might be used effectively. According to a report, the value of AI in the oil and gas sector would rise from US$1.57 billion in 2017 to US$2.85 billion by 2022.

 

A safe refuge for machine learning: Machine learning will enable offshore enterprises to operate from afar without frequently travelling to the oil fields. A new rig or drilling site's potential effects can be evaluated using AI. Additionally, it can help in assessing the environmental risks of a project before the beginning. Utilizing machine learning services strategically makes work safer.

 

IoT foresees mechanical problems: The Internet of Things (IoT) was created expressly to link and facilitate work by allowing access from anywhere. IoT has a significant impact on cost optimization in the oil and gas business. By providing predictive maintenance, performance forecasting, and real-time risk management, it raises safety. Through its links to various types of machinery, IoT gathers data. Even before humans notice a problem with a machine, sensors will be able to identify it. By focusing on deterioration before the machine collapses, this could prevent accidents and save money.

 

Blockchain for simple transactions: Choosing Blockchain to handle money is the greatest approach to expedite transactions and cut costs at the same time. Energy producers and consumers are directly linked by blockchain. In addition to the general network capabilities, it offers a safe environment in which data transmission and reception may be possible.

 

The oil and gas business is moving toward digitization thanks to artificial intelligence-featured technologies including machine learning, blockchain, big data, and IoT. Although the energy business may face previously unheard-of difficulties, new technologies are always being developed to help with these issues and make the job easier.

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