SCN Global Flow Monitor
Supply Chain Network Dynamics · Global Crude Oil Trade
📄 Read the paper — arXiv:2607.17491
Destabilized Nodes
—
Systemic Deficit (MMbbl/wk)
—
Throughput Q(T)/Q(0)
—
Clearing Price p(T)
—
☰ Scenario
✕
Disruption Scenario
Shock Target
Scenario Preset
Historical analog (70% · 12 wks)
Severe disruption (30% · 26 wks)
Extreme stress test (10% · 52 wks)
Custom
Capacity Retained
30%
Demand Elasticity ε
0.10
Supply Elasticity η
0.10
Horizon
26 wks
RUN SHOCK SIMULATION
Shock target
Collapse >60%
Degraded 10–60%
Insulated
Overland / pipeline
Fixed
Endogenous
▶
Week 0.0
$75.00
1 wk/s
2 wk/s
4 wk/s
8 wk/s
SIMULATION
— stress test, not a forecast · UN Comtrade 2025 reported flows (sanctioned / unreported trade not represented) · arXiv:2607.17491
Analytics ▸
Market Price p(t)
Downstream Flow Losses
Emergency Stockpile Drawdown (% remaining)
Model & calibration:
Supply Chain Networks
— fluid-stochastic network clearing, Skorokhod inventory dynamics, endogenous pricing with strategic trade rebalancing. Stockpile-depletion events shown for net-importer emergency buffers; exporter buffers are elastic-supply accounts (see paper §5.2). Capacity-retained settings bundle bypass infrastructure (e.g., East–West & Habshan–Fujairah pipelines for Hormuz). No rationing policy is modeled: buffers drain mechanically.
arxiv.org/abs/2607.17491