Comparing Uncorrected and Corrected Bottom-hole Temperatures Using Published Correction Methods For the Onshore U.S. Gulf of Mexico

Wireline logging temperature readings are known to be imprecise and need to be corrected to more accurately show what the formation temperature is. One issue with correcting logging temperatures is what correction factor to use. Because there are so many correction factors and they are based on different types of data and locations choosing a correction factor for a particular study area can be challenging to deal with. Some previous work has factored in only depth and other work includes time since circulation as a major component. This data set is comprised of bottom hole temperature, depth, and time since circulation that have had seven different correction factors run on the data. The data was consolidated into 6x6 mile cells and a least squared algorithm was used to create one temperature gradient (per correction factor) for that particular cell.

Data and Resources

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publisher U.S. Geological Survey
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Groups
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  • National Provider
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  • amerigeoss
  • arkansas
  • bottom-hole-temperature
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  • gulfroom
  • louisiana
  • mississippi
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  • north-america
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isopen False
license_id notspecified
license_title License not specified
maintainer Scott A. Kinney
maintainer_email skinney@usgs.gov
metadata_created 2025-11-21T04:13:20.215462
metadata_modified 2025-11-21T04:13:20.215466
notes Wireline logging temperature readings are known to be imprecise and need to be corrected to more accurately show what the formation temperature is. One issue with correcting logging temperatures is what correction factor to use. Because there are so many correction factors and they are based on different types of data and locations choosing a correction factor for a particular study area can be challenging to deal with. Some previous work has factored in only depth and other work includes time since circulation as a major component. This data set is comprised of bottom hole temperature, depth, and time since circulation that have had seven different correction factors run on the data. The data was consolidated into 6x6 mile cells and a least squared algorithm was used to create one temperature gradient (per correction factor) for that particular cell.
num_resources 2
num_tags 25
title Comparing Uncorrected and Corrected Bottom-hole Temperatures Using Published Correction Methods For the Onshore U.S. Gulf of Mexico