The probability of the size and duration of another oil disruption is critical to estimating the value of any policies for reducing the economic damages from a sudden oil supply disruption. The Energy Modeling Forum at Stanford University developed a risk assessment framework and evaluated the likelihood of one or more foreign oil disruptions over the next ten years. Leading geopolitical, military and oil-market experts provided their expertise on the probability of different events occurring, and their corresponding link to major disruptions in key oil market regions. The study evaluated 5 primary regions of production: Saudi Arabia, Other Persian Gulf, Africa, Latin America, and Russian / Caspian States. Disruptions are defined as being net of offsets (e.g., OPEC spare capacity), with the notable exception that the SPR is not included as a source of offsets. At least once during the 10-year time frame (2016–2025), there exists approximately an 80% probability of a net (of offsets) disruption of 2 MMBD (million barrels per day) or more lasting at least 1 month.
Energy Policy – Elsevier
Published: Apr 1, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.
Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.
It’s easy to organize your research with our built-in tools.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera