Skip to main content
Advanced Search

Filters: Tags: Well Logs (X) > Categories: Data (X)

7 results (65ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Time series electromagnetic induction-log (TSEMIL) datasets are collected from polyvinyl chloride (PVC) cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument...
thumbnail
The dataset consists of more than 3,000 sites in Iowa that contain detailed, regional alluvial stratigraphic nomenclature. The dataset is comprised of boring, dug pit, and cutbank descriptions predominately from the Iowa Office of the State Archaeologist, but also from other alluvial studies, including those conducted by the IGS. The majority of these descriptions were first published in documents from the 1990s, but also included data collected in the 1970s and 1980s.
thumbnail
Time series electromagnetic induction-log (TSEMIL) datasets are collected from polyvinyl chloride (PVC) cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument...
thumbnail
Time series electromagnetic-induction log (TSEMIL) datasets are collected from PVC cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic-induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument Co., Inc.,...
thumbnail
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...
thumbnail
Time series electromagnetic induction-log (TSEMIL) datasets are collected from PVC cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument Co., Inc., 2002)....
thumbnail
Time series electromagnetic induction-log (TSEMIL) datasets are collected from PVC cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument Co., Inc., 2002)....


    map background search result map search result map Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2014 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2015 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2016 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2017 Water Year in South Florida Comparing Uncorrected and Corrected Bottom-hole Temperatures Using Published Correction Methods For the Onshore U.S. Gulf of Mexico Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2018 Water Year in South Florida IGS sites with alluvial stratigraphic nomenclature Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2014 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2015 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2016 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2017 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2018 Water Year in South Florida IGS sites with alluvial stratigraphic nomenclature Comparing Uncorrected and Corrected Bottom-hole Temperatures Using Published Correction Methods For the Onshore U.S. Gulf of Mexico