In 2024, the US recorded 27 separate billion-dollar weather disasters, totalling $182.7 billion in damages (NOAA). The Gulf Coast, home to 55% of America's refining capacity and thousands of offshore platforms (BOEM), absorbed much of the impact. This is not a future scenario. It is last year's balance sheet.

Yet across the sector, very few oil and gas operators have a granular, asset-level view of how physical risk maps across upstream, midstream, and downstream infrastructure.

Audio Deep Dive

Duration: 18:34 minutes

The scale of what's exposed

2.6M

Miles of oil & gas
pipelines (PHMSA)

132

Operable refineries 18.4M bpd capacity (EIA, 2025)

55%

of US refining capacity on the Gulf Coast (EIA)

A significant share of the US pipeline network dates back decades. Much of the crude oil system was installed before modern design standards took today's weather extremes into account (PHMSA). Hundreds of thousands of active wells span the Permian, Eagle Ford, Bakken, and Appalachian basins, many in regions facing rising flood, heat, and wildfire exposure.

A single high-impact hurricane can temporarily shut in ~1.5 million barrels per day of offshore production and remove equivalent refining capacity, pushing retail gasoline prices up $0.25 to $0.30 per gallon within weeks (EIA). Hurricane Ida in 2021 did not just cause temporary shutdowns. It permanently decommissioned Phillips 66's Alliance refinery complex in Louisiana.

Since 1980, US tropical cyclones alone have caused over $1.5tn in cumulative damages (NOAA, through 2024). In 2017, Harvey, Irma, and Maria cost $265 billion.

What external research tells us, and what our data confirms

The UNEP Finance Initiative's sectoral risk briefing flagged oil and gas infrastructure as uniquely vulnerable to compound physical hazards. Flooding, extreme heat, storm surge, and subsidence often overlap in the same geographies. The US GAO has repeatedly highlighted the accelerating risk coastal energy infrastructure faces from sea-level rise and stronger storms. McKinsey's work on resilience technology reaches a similar conclusion. Energy infrastructure is at an inflection point, and the cost of inaction is rising faster than the cost of adaptation.

Our analysis, which screens oil and gas assets across multiple geographies, shows outcomes within ±20 % of these external estimates. The variance is driven mainly by asset age, precise geolocation, and local drainage infrastructure.

The identification problem nobody talks about

You can't manage what you haven't mapped.

Oil and gas infrastructure is not a single point on a map. It is a complex, interconnected system spread across three distinct tiers, each with a different risk profile.

Upstream

Extraction
& Fields

Wellheads, drilling pads, and gathering systems are spread across vast basins. Flood exposure, subsidence, and heat productivity loss are the main concerns. Many operators still lack precise coordinates for legacy assets.

Midstream

Pipelines
& Transport

2.6 million miles of linear assets. One failure on a 500-mile pipeline can halt the whole system. We segment pipelines into 1 km units, buffer corridors by diameter (15 to 30m), and assess every critical node.

Downstream

Refineries
& Processing

Concentrated, high-value facilities where business disruption matters more than structural damage. Production can halt even when infrastructure remains intact.

Without precise asset identification, geolocation, and segmentation across all three tiers, any portfolio-level risk number is essentially a guess.

Real numbers from a real engagement

We recently completed a full value chain infrastructure screening for a major oil and gas portfolio in the Middle East. It covered 380+ facilities across oil fields, refineries, terminals, and fuel stations.

Case Study | Infrastructure Risk Screening
Full Value Chain Assessment: Oil & Gas Portfolio, Middle East
Upstream, midstream, and downstream assets across 4 asset classes
Assets Screened
380+ facilities & fields
Asset Types
Oil fields, refineries, terminals, fuel stations
Hazards Modelled
Flood, extreme heat, wind/storm, subsidence
Time Horizons
Baseline, 2030, 2050
Physical Loss (10-Year)
$420M
Cumulative expected damage from flood and storm events over a 10-year horizon. 12% of facilities drive 68% of total loss.
Revenue at Risk (10-Year)
$1.85B
Cumulative revenue exposure from operational downtime over 10 years. Average disruption at high-risk sites is 18 days per year.
Adaptation ROI
7.2x
$31M adaptation CapEx projected to avoid $224M in cumulative losses, producing a net benefit of $193M over the period.
⚠️
Key finding: Business disruption represented 4.4x the financial exposure of direct physical damage ($1.85B vs $420M over 10 years). Production halted even when infrastructure remained structurally intact. That made downtime modelling more material than damage curves alone.
Upstream | Oil Fields
23%
of total portfolio risk
Midstream | Terminals
31%
of total portfolio risk
Downstream | Refineries
46%
of total portfolio risk

The point that landed most clearly was this: over a 10-year horizon, business disruption accounted for $1.85 billion in revenue at risk, 4.4x the $420 million in direct physical damage. A refinery that floods for 48 hours does not just need repairs. It can lose weeks of throughput during shutdown, decontamination, and restart. That indirect loss is larger than the cost of replacing damaged equipment.

What this means at US-industry level

Over half of US refining capacity is concentrated on the Gulf Coast (EIA), and the frequency of floods and storms is increasing. The scale of weather-related disruption losses across US O&G infrastructure is significant, even before accounting for supply chain knock-on effects, commodity price spikes, or insurance market repricing.

Add roughly 190,000 miles of liquid petroleum pipelines and the aging profile of the network, and the exposure grows further. Much of this infrastructure was designed for weather patterns that no longer exist.

A disrupted pipeline in the Permian not only affects the operator. It cascades through refiners, distributors, petrochemical plants, and eventually consumers. The uncertainty in modeling those knock-on effects is significant, but the directional signal is clear. Systemic underinvestment in resilience across the US O&G value chain is a material financial risk.

The resilience ROI is already proven

The NIBS/FEMA Mitigation Saves study shows that every $1 invested in infrastructure resilience saves $6 in avoided disaster losses. More recent research from Allstate and the US Chamber of Commerce puts that at $13 saved per $1 spent. Our own engagement data points in the same direction. Targeted adaptation investments in the energy sector consistently deliver 5-8x returns over 10-year horizons.

The question is not whether resilience pays off. It is whether operators invest early or keep absorbing losses reactively.

What we're doing about it

At Climate X, we're already working with several oil and gas companies and infrastructure investors to screen physical risk across the full upstream, midstream, and downstream chain.

Asset Identification
& Geolocation

Automated mapping of facilities, fields, pipelines, and terminals, including pipeline segmentation into 1 km units and critical node identification.

Multi-Hazard
Screening

Flooding (coastal, fluvial, pluvial), wind and storms, extreme heat, subsidence, landslide, and wildfire, with projections to 2030 and 2050.

Quantified
Financial Impacts

Physical damage estimates, business disruption expressed as days of downtime and revenue at risk, and heat productivity loss.

Adaptation
Recommendations

CapEx and ROI for targeted resilience measures, so operators can prioritize investment where it matters most.

The infrastructure is already built. The weather is already changing. The only question is how quickly the industry moves from awareness to action.

If your organisation operates, finances, or insures oil and gas infrastructure, let's talk.

We're helping companies turn risk data into resilience strategies. The earlier you start, the stronger the economics.

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