AI Driven Anomaly Detection In The Oil & Gas Industry
The oil and gas industries are facing several challenges in data processing and handling as very large amount of data is generated with various techniques and processes.
The proper technical analysis of these databases is to be carried out to improve the performance of oil and gas production and distribution. Now a new drone-based Artificial Intelligence (AI) anomaly detection is available
A leading provider of private wireless data, drone and automated data company Ondas Networks is adding AI anomaly detection capabilities to the autonomous Scout System drone, manufactured by its new acquired subsidiary, American Robotics.
AI helps oil and gas companies assess the value of specific reservoirs, customise drilling and completion plans according to the geology of the area, and assess risks of each individual well. In addition, downstream distribution operations can be optimised to minimise costs.
Anomaly detection is the problem of finding patterns in data that do not conform to expected behaviour. This is related to the problem in which some samples are distant or in a different metric from the rest of the dataset, where these anomalous samples are indicated as outliers.
In the oil & gas industry, the loss of containment analytics feature will accelerate early detection and location of crude oil leaks before they become critical to customers by providing frequent, autonomous inspections of oil and gas pumpjacks, heater treaters, tanks, pipes, pumps, and more via the autonomous Scout System. A recent Market Research Future report predicted that the market size for drones in the oil and gas industry is projected to be worth over $23 billion by 2027.
Combined with the high-resolution thermal and RGB camera payloads, the additional leak detection features to the Scout System developed specifically for the oil and gas industry offer an autonomous 'drone-in-a-box' (DIB) solution for the oil and gas industry.
Autonomous drones have become a crucial component to ensuring safety and conducting regular inspections within the oil and gas industry and the improved use of drones to detect leaks, will enable oil and gas customers to minimise environmental risks, clean-up costs, fines, and litigation expenses.
Ondas Networks: Ondas Networks: I-HLS: Science Direct: DataRobot: Barrons:
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