Map Us Oil Pipelines - Let's use the data to understand the role of the Colony pipeline in the larger pipeline network of US petroleum products.
The effects of the latest ransomware attack are being felt across the southeastern United States. The criminals - a ransomware group called DarkSide - claimed that their aim was never to disrupt the company:
Map Us Oil Pipelines
"Our goal is to make money, not a problem for the company. Starting today, we will show moderation and investigate every company that our partners want to code to avoid social consequences in the future."
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But one wonders if this is entirely true. After all, DarkSide is based in Russia, and the recent Russian-made SolarWinds attacks led to the breach of several US government servers. This, along with recent events, has shown that Russia has an interest in attacking US networks, even infrastructure networks. disrupt important - such as those that run fuel in much of the US.
Let's take a closer look at the US oil pipeline network. This will help to understand the role of the colonial pipeline. In addition, the increase in national cyber attacks from Russia, North Korea, Iran and China means that the US may be at risk of attacks in the future. be purposeful in order to maximize social disruption. In this case, it is best to consider critical infrastructure vulnerabilities to build resilience in the event of successful cyber attacks.
I obtained data on major petroleum product pipelines in the United States from the EIA website and used the GeoPandas Python package to load the file. You will see the largest tube in dark red, which is the colony tube. A closer look at the 5 larger pipes confirms this. The second longest is the Southern Lights Pipeline, which runs from the US Midwest to Alberta, Canada, and the third longest is the Plantation Pipeline, which runs from Louisiana to DC, almost identical to the Colonial Pipeline, except shorter.
Each row of the Shapefile contains the coordinates of the points on the pipe. I represent each point as a node and connect these points through edges through which a network is constructed using the NetworkX Python package. Now that we have a network, we can run some classic network algorithms to figure out which nodes or pipe segments are important to the entire pipe network.
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In graph theory and network analysis, centrality measures determine the relative importance of nodes in the entire network. I will use centrality, which is the degree of influence a node has on the flow of information (or in this case, the flow of oil) in the network. The median index is given below:
The conclusion is over all pairs of nodes. In our case, a remote center needs to sense which pipeline segments are the most important for transporting oil in a large network.
The node with the highest concentration is located in the center of the Colonial Canal, in the state of South Carolina. This was surprising to me because I thought the most important node might be closer to the geographic center of the US.
Both the sheer length of the pipeline and the inter-pipeline centralization index place the pipeline as the most important asset in the US oil pipeline network. What's even more surprising is how motivated an attacker can be to maximize disruption to a community like a nation. What could these be? We have already seen several weeks of gas outages and price hikes following ransomware attacks on the colonial pipeline. What if several pipes are blocked? How we can build social networks. resilience against successful attacks?
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We can learn a lot from multiple data sources and connecting the dots during natural disasters so that we can be better prepared as a society in the future. In the case of a pipeline cyberattack: Vulnerable networks of pipelines, oil refineries and warehouses, transportation supply chains, and fuel facilities can help understand the chain of events. This understanding will better prepare us for future cyber attacks.
In conclusion - there is a lot more to be done for companies to resist cyber attacks. But I believe the first step is to quantify society's complex vulnerability to such attacks. Unfortunately (or intentionally) - in the case of the Colonial Pipeline incident, the data clearly shows that the attack shut down the most important pipeline in the entire US oil pipeline network, resulting in weeks of gas shortages.
If you like this article - I often write on the interface of complex systems, physics, data science and society. Index of Pipes| ESPAÑOL FRENCH State degrees Street View Settings | Photos | feedback |
The following table lists the United States pipelines shown on the map. A map will then appear which you can click on to see an enlarged version. The pipeline routes are marked on the map with the symbols explained in the table. Tube label symbols are colored
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For products such as gasoline, propane and ethylene. The diameter, length and capacity of the pipe, if known, are shown in the table. Follow the links below for current US economic data, including oil and natural gas production, consumption, imports and exports, as well as detailed US Census statistics. For historical information, follow this link and click on a year on this page, then the country name.
Note: Information on United States pipelines on this page is republished from various sources. No claim is made as to the accuracy of the United States tubes contained herein. All suggestions for correction of errors related to United States pipelines should be directed to the site administrator.
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