Digitization for the formation of predictive service in the oil and gas industry

GlobalData’s latest thematic report “Prognostic Maintenance in Oil and Gas” provides an overview of the evolution of prognostic service as a topic in the industry. It also provides a detailed analysis of the value-added service value chain, its role in the oil and gas value chain, and the corresponding participation of leading players in this ecosystem.

Prognostic maintenance is an important part of the asset management strategies used in each industry to maximize the life of equipment and infrastructure. It uses an innovative data-driven approach to assess the condition of field equipment or infrastructure and provides a detailed picture of its expected life. This allows decision makers to plan maintenance activities without affecting normal operation. These ideas can also be used to determine if any machinery or infrastructure needs major repairs.

Effective equipment predictive maintenance strategies rely on regular data collection. This data is used to determine the state of the accident, which is then used to assess the necessary corrective action.

The emergence and rapid growth of innovative technologies such as the Internet of Things (IoT), artificial intelligence (AI), augmented and virtual reality (AR / VR), big data, cloud computing and others have recently shaped oil maintenance strategies. and the gas industry.

Maintenance strategies have evolved from a reactive to a prophylactic approach to ensure continuous operation along the oil and gas supply chain. The economic timeframe and technological support available at the time shaped these strategies and will continue to do so in the future.

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