Washington County Barite District

Region Central, South Central
Mineral systems
Deposit types
Critical minerals
Other minerals

Information leading to the delineation of this focus area

Basis for focus area Known barite and Zn production, potential barite reserves, with associated Pb and Sr occurrences.
Identified resources Identified resources of barite. Historical production of barite and zinc.
Production This district produced more than 13 million tons of barite from 1900 to the 1990s (Wharton and others, 1969; Rueff, 2003).
Status Past mining.
Estimated resources The district contains a remaining estimated 15 million tons of barite reserves (Wharton and others, 1969).
Geologic maps Gooding (1953), scale 1:62,500; Dake (1925, 1930), scale 1:62,500; Vierrether (2001), scale 1;24,000; Brown (2001a, b, 2002), scale 1:24,000; Middendorf (2001), scale 1:24,000.
Geophysical data Mostly adequate Rank 1 magnetic and aeroradiometric coverage available; See McCafferty and Johnson (2019), some inadequate rank 5 in northern portion of focus area.
Favorable rocks and structures Potosi Dolomite, Eminence Dolomite, Gasconade Dolomite.
Deposits Dresser district; Cadet mine (MRDS dep_id: 10172048), Arnault Branch (MRDS dep_id: 10220758), Keyes Branch (MRDS dep_id: 10148326), Hornsey Brothers mines, Apex mines.
Evidence from mineral occurrences MRDS; Missouri Geological Survey database Inventory of Mines; Occurrences and Prospects (Missouri Geological Survey, 2021b).
Geochemical evidence Unknown, may be data in files at the Missouri Geological Survey; known favorable mineralogy.
Geophysical evidence Combination of gravity with magnetic data.
Evidence from other sources Drill core and mine information.
Cover thickness and description Less than 500 feet.
Authors Cheryl M. Seeger, Warren C. Day.
New data needs Drill core logs, new 1:24,000 scale geologic maps. Geochemical sampling of mine waste.
Geologic mapping and modeling needs Modern 1:24,000 scale geologic maps, drill core logs, and 3-D geologic model.
Geophysical survey and modeling needs Radiometric data useful for areas of exposed Precambrian rocks.
Digital elevation data needs Lidar needed.