How AI and Procurement Shields Oil and Gas in 2024

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The 2024 Atlantic hurricane season is shaping up to be one of the most intense on record, posing significant risks to the oil and gas industry. Infrastructure damage, supply chain disruptions, and economic challenges are among the critical threats, especially for offshore and remote operations. The Gulf Coast, a region that accounts for 45% of U.S. oil refining capacity, over half of natural gas processing, and 20% of crude oil production, is particularly vulnerable. According to Colorado State University’s Tropical Weather and Climate Research Center, this coastline is the most likely in the U.S. to be struck by a severe hurricane (Category 3–5).

To mitigate these risks, oil and gas companies must proactively strengthen their operations and engage key suppliers to ensure resilience against potential disruptions.

The Growing Threat of an Active Hurricane Season

This year’s hurricane season has seen unprecedented activity, with storms intensifying rapidly and early. The National Oceanic and Atmospheric Administration (NOAA) reports that the number of named storms in the first half of the season has already surpassed the decade’s average.

For the oil and gas sector, even a single storm can have devastating consequences. Offshore and coastal rigging equipment, critical to production, is often located in remote areas, making it challenging to replace or repair on short notice. Logistics for delivering spare parts or staging inventory in nearby warehouses are frequently constrained.

Additionally, hurricanes disrupt coastal suppliers and overseas shipping, creating severe inventory issues for procurement teams tasked with quickly sourcing and fulfilling orders for equipment and replacement parts.

Building Resilience: Preparing for Disruptions

To navigate these challenges, companies are increasingly adopting flexible and autonomous logistics solutions, such as uncrewed aviation, warehouse automation, and vendor-managed inventory (VMI). While helpful, these innovations alone cannot fully address the immediate need for parts and equipment following hurricane-related damage.

Major industry players are turning to predictive procurement platforms to minimize delays and manage shortages. These platforms use historical purchase data to predict supply needs during extreme weather events, enabling companies to:

Pre-order critical parts likely to be affected by storms.

Group and stage inventory in strategic locations for quick deployment.

Develop coordinated response plans with suppliers.

Analyzing past responses to hurricanes is essential for refining strategies. Key considerations include evaluating purchase price variance (PPV), identifying bottlenecks or sole-source dependencies, and addressing failure points. By applying these insights, companies can proactively manage their supply chains and mitigate risks effectively.

To Know More, Read Full Article @ https://ai-techpark.com/ai-shields-oil-and-gas-industry/

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