Energy Resources Program

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The Energy Resources Program conducts research and assessments to advance the understanding of the Nation’s energy resources. We study processes critical to the formation, accumulation, occurrence and alteration of geologically based energy resources; prepare resource assessments; and evaluate the environmental and socioeconomic effects of energy resource occurrence, production and use.

Our Science

Our Science

Understanding the national and global availability of resources as well as the environmental impacts of their development is essential for strategic decision making related to the nation’s energy mix.

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The Energy Quarterly

The Energy Quarterly

This quarterly newsletter highlights the latest Energy Resources Program research, activities, publications, and information resources available from our website and other sources.  Read & Subscribe Today!

Current Newsletter

News

Date published: November 17, 2021

GeoFlight Takes to the Air to Help Identify Geothermal and Mineral Resources at the Salton Sea

The following is an excerpt from a joint blog post issued by the Department of Energy’s Energy Efficiency and Renewable Energy Office and the Department of the Interior’s Office of Water & Science regarding the new GeoFlight: Salton Trough initiative.

Date published: September 28, 2021

USGS Estimates 306 Billion Cubic Feet of Recoverable Helium in the United States

The natural gas reservoirs of the United States contain an estimated 306 billion cubic feet of recoverable helium, according to a new report from the U.S. Geological Survey. This is the first-ever estimate of recoverable helium resources from the USGS.

Date published: July 13, 2021

New Study Helps Wind Industry, Wildlife Managers Identify Risks to Certain Raptors from Collisions with Wind Turbines

A recent U.S. Geological Survey (USGS) and Oklahoma State University study shows not all raptor species are equally impacted by collisions with wind turbines. Of 14 species studied, five are at risk of population declines due to collisions.

Publications

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Year Published: 2021

Multilayer perceptrons (MLPs)

Artificial neural networks (ANNs) are adaptable systems that can solve problems that are difficult to describe with a mathematical relationship. They seek relationships between different types of datasets with their abilities to learn either with supervision or without. ANNs recognize patterns between input and output space and generalize...

Karacan, C. Özgen

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Year Published: 2021

Method for compiling temporally and spatially aggregated data on hydraulic fracturing—Treatments and wells

This report provides a step-by-step method for compiling hydraulic fracturing data in the United States from the IHS Markit, 2019, U.S. Well History and Production Relational Database. Data on hydraulically fractured wells include their location (geologic province, State, county), well type (oil or gas), orientation (directional, horizontal, or...

Varela, Brian A.; Gallegos, Tanya J.
Varela, B.A., and Gallegos, T.J., 2021, Method for compiling temporally and spatially aggregated data on hydraulic fracturing—Treatments and wells: U.S. Geological Survey Open-File Report 2021–1090, 30 p., https://doi.org/10.3133/ofr20211090.

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Year Published: 2021

Realizations

In statistics, a realization is an observed value of a random variable (Gubner 2006). In mathematical geology, the most important realizations are those in the form of maps of spatially correlated regionalized variables.Spatial description of random variables within complex domains and making certain decisions about those require complete...

Karacan, C. Özgen