Supplementary File 1: Well Log Data for Testing Depth Alignment Methods

A 106.0 KB PDF document published on figshare by Sushil Acharya on 2026-04-20. It describes and likely contains normalized well-log datasets, including gamma ray, bulk density, neutron porosity, and compressional sonic slowness logs, used to test a semi-automated depth alignment workflow.

Use Cases

• Benchmarking depth alignment algorithms like Fast Walsh–Hadamard Transform against methods such as maximum cross-correlation and dynamic time warping.
• Analyzing the performance of boundary detection methods using metrics like the Walsh Boundary Index and Pearson correlation.
• Studying nonlinear depth mismatches between logging-while-drilling and electrical wireline logging data in reservoir characterization.

Strengths

• Includes specific performance metrics for the alignment method, such as increasing mean Pearson correlation from 0.079 to 0.574.
• Evaluated on a specific set of 89 gamma ray log pairs from the Norwegian Continental Shelf.
• Released under a permissive CC-BY-4.0 license.

Limitations

• The primary data file is a 106.0 KB PDF; the underlying tabular log data may not be directly accessible or is embedded within the document.
• Row count and column-level documentation for the log data are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely derived from oil and gas well-logging operations, as the method is applied to datasets containing standard petrophysical logs.

Freshness

Last updated 2026-04-20 10:34:53; freshness should be verified.

Geography

Includes data from the Norwegian Continental Shelf.