The U.S. Department of Energy’s National Energy Technology Laboratory (NETL) has published a dataset identifying 4.8 million structures, such as wells and pipelines, that are part of the oil and gas infrastructure in 194 countries. The data, called the global oil and gas infrastructure inventory (GOGI), standardizes information from 380 datasets and includes data such as the type, age, status, and owner of wells, pipelines, and ports across the world. Researchers can analyze the data to identify potential leaks of methane, a greenhouse gas, to mitigate environmental and economic impacts. The data can also help evaluate the economic costs of current and future energy projects.
Cataloging the Global Energy Infrastructure to Prevent Oil and Gas Leaks
Michael McLaughlin is a research assistant at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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