The Inversion of NMR Log Data Sets with Different Measurement Errors
β Scribed by Keh-Jim Dunn; Gerald A. LaTorraca
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 353 KB
- Volume
- 140
- Category
- Article
- ISSN
- 1090-7807
No coin nor oath required. For personal study only.
β¦ Synopsis
We present a composite-data processing method which simultaneously processes two or more data sets with different measurement errors. We examine the role of the noise level of the data in the singular value decomposition inversion process, the criteria for a proper cutoff, and its effect on the uncertainty of the solution. Examples of processed logs using the composite-data processing method are presented and discussed. The possible usefulness of the apparent T 1 /T 2 ratio extracted from the logs is illustrated.
π SIMILAR VOLUMES
In medical research, a situation commonly arises where new variables are calculated from a common set of directly measured variables. When the directly measured variables each contain an error component, the relationship between the observed calculated variables can often be distorted. A source of t