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Cell maps for each oil and gas assessment unit were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, dry, or the type of production of the wells located within the cell is unknown. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the...
Categories: Data,
pre-SM502.8;
Tags: 506701 = Conasauga-Rome/Conasauga,
50670101 = Rome Trough,
506702 = Sevier-Knox Trenton,
50670201 = Lower Paleozoic Carbonates,
506703 = Utica-Lower Paleozoic, All tags...
50670301 = Lower Paleozoic Carbonates in Thrust Belt,
50670302 = Knox Unconformity,
50670303 = Black River-Trenton Hydrothermal Dolomite,
50670304 = Lockport Dolomite,
50670361 = Clinton-Medina Basin Center,
50670362 = Clinton-Medina Transitional Northeast,
50670363 = Clinton-Medina Transitional,
50670364 = Tuscarora Basin Center,
506704 = Devonian Shale-Middle and Upper Paleozoic,
50670401 = Oriskany Sandstone-Structural,
50670402 = Oriskany Sandstone-Stratigraphic,
50670403 = Greenbrier Limestone,
50670404 = Mississippian Sandstones,
50670461 = Greater Big Sandy,
50670462 = Northwestern Ohio Shale,
50670463 = Devonian Siltstone and Shale,
50670464 = Marcellus Shale,
50670465 = Catskill Sandstones and Siltstone,
50670466 = Berea Sandstone,
506705 = Carboniferous Coal-Bed Gas,
50670581 = Pocahontas Basin,
50670582 = East Dunkard (Folded),
50670583 = West Dunkard (Unfolded),
50670584 = Central Appalachian Shelf,
50670585 = Appalachain Anthracite and Semi-Anthracite,
506706 = Pottsville Coal-Bed Gas,
50670681 = Cahaba Basin,
67 = Appalachian Basin,
AL,
Appalachian Basin,
Assessment Unit,
Cells,
Coalbed methane resources,
Earth Science,
Economic geology,
Energy Resources,
GA,
Gas hydrate resources,
Geology,
KY,
MD,
Milici, Robert C.,
NC,
NJ,
NY,
National Assessment of Oil and Gas,
Natural Gas,
Natural Resources,
Natural gas resources,
OH,
Oil,
Oil sand resources,
Oil shale resources,
PA,
Resource Assessment,
TN,
U.S. Geological Survey,
US01 = Alabama,
US13 = Georgia,
US21 = Kentucky,
US24 = Maryland,
US34 = New Jersey,
US36 = New York,
US37 = North Carolina,
US39 = Ohio,
US42 = Pennsylvania,
US47 = Tennessee,
US51 = Virginia,
US54 = West Virginia,
USGS,
USGS Science Data Catalog (SDC),
USGS World Energy Region 5,
USGS World Energy Region 5,
United States,
VA,
WV,
geoscientificInformation, Fewer tags
This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream temperature models to accurately incorporate groundwater-discharge processes. We assessed the performance of an existing process-guided deep learning stream temperature model of the Delaware River Basin (USA) and explored four approaches for improving groundwater process representation: 1) a custom loss function that leverages the unique patterns of air and water temperature coupling resulting from different temperature drivers, 2) inclusion of additional groundwater-relevant catchment attributes, 3) incorporation of additional process model outputs, and...
Categories: Data;
Tags: DE,
Delaware,
Hydrology,
MD,
Maryland, All tags...
NJ,
NY,
New Jersey,
New York,
PA,
Pennsylvania,
US,
USGS Science Data Catalog (SDC),
United States,
Water Quality,
Water Resources,
deep learning,
environment,
explainable AI (XAI),
groundwater,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
process guided deep learning,
stream temperature,
temperature,
water,
water resources, Fewer tags
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