Geology ReportsSearch

USGS · 70112914

Integration of geological, geochemical, and geophysical spatial data of the Cement oil field, Oklahoma, test site

Abstract

Measurement pertaining to geology, geochemistry, and geophysics of the Cement oil field, Oklahoma, test site were collected employing both airborne sensors and ground-based data collection. The measurements include: (1) airborne gamma-ray spectrometry (supplying bismuth 214, thalium 208, and potassium 40 gamma-ray intensities); (2) aeromagnetic survey data; (3) multi-frequency airborne resistivity survey data (supplying apparent electrical resistivity of near surface materials); (4) gravity data; (5) geological and topographic maps; and (6) image data from Landsat MSS and U-2 photography.

Explore related subjects

90° N90° S · 180° W ← longitude → 180° E
Source-reported bounding extent: 36.034963° to 36.0350408° latitude; -95.9512937° to -95.9512492° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Patricia A. Termain, Terrence J. Donovan, Pat S. Chavez. 1980. Integration of geological, geochemical, and geophysical spatial data of the Cement oil field, Oklahoma, test site. https://pubs.usgs.gov/publication/70112914

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related USGS reports

Evaluation of new spectral bands for multi-spectral imaging: SMIRR aircraft test results

A 10-channel radiometer called the Shuttle Multispectral Infrared Radiometer (SMIRR) is scheduled to take data from orbit on the second shuttle orbital light test. As part of the instrument test sequence, a series of aircraft flights was carried out over 10 test areas in Utah and Nevada. Apart from vegetation, the materials exposed at the surface were volcanic sequences ranging from tuffs to basalts, areas of hydrothermally altered volcanic rocks, sedimentary sequences of sandstone and carbonate rocks, and alluvial cover.

Sixth Annual Pecora Symposium and Exposition

Airborne Fraunhofer line discriminator (FLD) luminescence imaging systems and its application to exploration problems

Experiments with an imaging airborne Fraunhofer line discriminator (FLD) are being conducted to establish the feasibility of delineating the areal extent of luminescent materials on the earth's surface from aircraft and spacecraft. All luminescence measurements are related to a standard set of conditions with rhodamine wt dye used as a reference standard. The FLD has a minimum detectable rhodamine wt concentration of 0.1 parts per billion (ppb) at a signal-to-noise ratio of 5.0. Luminescence, when expressed in a signal-to-noise ratio (R) is related to equivalent ppb rhodamine wt through the relationship ppb=(0.1R-0.4). Luminescent materials imaged from an aircraft altitude of approximately 2400 m above terrain include fluorite in association with molybdenum, Pinenut Mountains, Nevada (R=62.0); mineralized playas, Claunch, New Mexico (R=960.0); uranium and vanadium-bearing outcrops, Big Indian Valley, Utah (R=105.0); uranophane sandstones, Sandia Mountains, New Mexico (R=60.0); phosphate outcrops, Pine Mountain, California (R=76.0); and marine oil slicks, Santa Barbara Channel, California (R=24.0). Correlation between the amount of fluorite in the rocks and soils of the Pinenut Mountains and luminescence, measured by the FLD, is as high as 0.88 at the 95 percent confidence level.

Sixth Annual Pecora Symposium and Exposition

Digital mapping of limonitic rocks by using Landsat MSS radio data

Color-ratio composite images of Landsat MSS (multi-spectral scanner) bands have been used by other workers to map the distribution of limonitic rocks in semi-arid and arid areas as possible indicators of hydrothermal alteration (Rowan et al, 1974). The images are particularly useful for broad overviews, but detailed analysis at large scales requires both numerical analysis of the ratio values to distinguish consistently among categories of limonitic rocks and a precise transfer of the data to large-scale base maps. Both requirements can be met by digital classification followed by a precise geometric registration of the classified data.

Sixth Annual Pecora Symposium and Exposition