Publications
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Multimineral petrophysics of thermally immature Eagle Ford Group and Cretaceous mudstones, U.S. Geological Survey Gulf Coast 1 research wellbore in central Texas
Traditional petrophysical methods to evaluate organic richness and mineralogy using gamma-ray and resistivity log responses are not diagnostic in source rocks. We have developed a deterministic, nonproprietary method to quantify formation variability in total organic carbon (TOC) and three key mudrock mineralogical components of nonhydrocarbon-bearing source rock strata of the Eagle Ford Group by
Authors
Lauri A. Burke, Justin E. Birdwell, Stanley T. Paxton
Assessment of undiscovered conventional oil and gas resources of China, 2020
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 13.4 billion barrels of oil and 244.4 trillion cubic feet of gas in nine geologic provinces of China.
Authors
Christopher J. Schenk, Tracey J. Mercier, Cheryl A. Woodall, Geoffrey S. Ellis, Thomas M. Finn, Phuong A. Le, Kristen R. Marra, Heidi M. Leathers-Miller, Ronald M. Drake
The Denver Well Logging Society December 2021 Newsletter: From the VP - Technology
No abstract available.
Authors
Jenny H. Lagesse
Alaska natural gas hydrate production testing: Test site selection, characterization and testing operations
This Interagency Agreement supports the U.S. Department of Energy (DOE) and its research partners in understanding, predicting, and testing the recoverability and potential production characteristics of onshore natural gas hydrate in the Greater Prudhoe Bay area on the Alaska North Slope (ANS: Prudhoe Bay, Kuparuk River, and Milne Point areas) or other areas deemed suitable by DOE and USGS for pot
Authors
Timothy Collett
Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey
Executive SummaryManagers of our Nation’s resources face unprecedented challenges driven by the convergence of increasing, competing societal demands and a changing climate that affects the stability, vulnerability, and predictability of those resources. To help meet these challenges, the scientific community must take advantage of all available technologies, data, and integrative Earth systems mo
Authors
Jennifer L. Keisman, Sky Bristol, David S. Brown, Allison K. Flickinger, Gregory L. Gunther, Peter S. Murdoch, MaryLynn Musgrove, John C. Nelson, Gregory D. Steyer, Kathryn A. Thomas, Ian R. Waite
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Energy Resources Program, Geology, Energy & Minerals Science Center, Oklahoma-Texas Water Science Center, Oregon Water Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center
Oil and gas wastewater components alter streambed microbial community structure and function
The widespread application of directional drilling and hydraulic fracturing technologies expanded oil and gas (OG) development to previously inaccessible resources. A single OG well can generate millions of liters of wastewater, which is a mixture of brine produced from the fractured formations and injected hydraulic fracturing fluids (HFFs). With thousands of wells completed each year, safe manag
Authors
Denise M. Akob, Adam Mumford, Andrea Fraser, Cassandra Rashan Harris, William H. Orem, Matthew S. Varonka, Isabelle M. Cozzarelli
Random forest
This entry defines and discusses the random forest machine learning algorithm. The algorithm is used to predict class or quantities for target variables using values of a set of predictor variables. It uses decision trees that are generated from bootstrap sampling of the training data set to create a "forest". The entry discusses the algorithm steps, the interpretative tools of the resulting mode
Authors
Emil D. Attanasi, Timothy Coburn
Impacts of climate change on groundwater availability and spring flows: Observations from the highly productive Medicine Lake Highlands/Fall River Springs Aquifer System
Medicine Lake Highlands/Fall River Springs Aquifer System, located in northeastern California, is home to some of the largest first-order springs in the United States. This work assesses the likely effects of projected climate change on spring flow. Four anticipated climate futures (GFDL A2, GFDL B1, CCSM4 rcp 8.5, CNRM rcp 8.5) for California, which predict a range of conditions (generally warmin
Authors
Lauren K Mancewicz, L. Davisson, Shawn J Wheelock, Erick R. Burns, Simon R. Poulson, Scott W. Tyler
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 solutions, in a way simulating the human brain’s learning e
Authors
C. Özgen Karacan
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 vertical), spud date, completion date and the hydraul
Authors
Brian A. Varela, Tanya J. Gallegos
The Denver Well Logging Society November 2021 Newsletter: From the VP - Technology
No abstract available.
Authors
Jenny H. Lagesse