Natural Resources

Hadoop is being investigated for a number of natural resource deployments. Examples include:

• Processing and analysis of seismic information - Natural Resource companies are using Hadoop to process and analyze seismic information in oil fields. The ability to analyze significant amounts of data to make more intelligent decisions about drilling, etc., can have a demonstrable impact on costs and topline revenue.
• Risk Management and Agricultural Planning - Agriculture companies need to know how different crops are likely to react to different soil types, water levels, and heat patterns in order to make better planting and harvesting decisions. Processing and combining information from aerial surveillance images, in-field sensor networks, meteorological data sets and past performance requires computations on very large-scale data sets using systems such as Hadoop.