Digitalization involves more than just technology and big data. Businesses need to invest in staff training and upskilling programs to make them future-proof and take advantage of digital transformation.
Fremont, CA: The oil and gas industry is facing significant disruptions due to the coronavirus and the failed OPEC deal. The rapidly changing energy sector is putting shareholder returns at risk, reconfiguring policy mandates, and introducing digital technologies, greener energy, and consumer-centric services. Energy players are being forced to reevaluate their value chains, assets, and operations.
Digitalization offers several opportunities for the energy sector. For example, cloud-based AI platforms are being developed to analyze subsurface geophysical data. This will allow for quicker and more accurate modeling of oil deposits that have recently been discovered or established. By mapping underground oil reservoirs accurately, we can improve our understanding of the size and value of the stakes, and we can also tailor drilling methods to achieve maximum production.
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Internet of Things (IoT) technology can enable predictive maintenance, performance forecasting, and real-time risk management. This can help optimize costs and improve safety in the oil and gas sector. As IoT develops and more data is gathered, energy companies will gain a competitive advantage.
Several energy blockchain start-ups are emerging, as blockchain technology has the potential to speed up transactions and reduce costs by eliminating intermediaries.
Investing in staff training and upskilling programs is crucial for businesses to make themselves future-proof and take advantage of the benefits of digital transformation.
Digital technologies, such as AI, machine learning, remote sensing, and robotics, have the potential to enhance the efficiency and sustainability of energy systems worldwide. However, the move to an AI and technology-driven landscape raises concerns regarding security and privacy. There is concern that the extensive implementation of AI systems may expose energy networks to cyber-attacks. Therefore, there is now interest across the industry in exploring the potential for AI technologies to protect energy grids and limit the damage caused by targeted attacks.