RAI Well Header KM Analysis

✓ Compatible with desktop and web



The RAI Well Header KM analysis allows data managers to review a single well header data set for completeness and validity. Validity checks are conducted across identifiers, metadata, status, and spatial column types. Validate data for form and type using the built-in IronPython Rules Engine from Ruths.ai.

Required Data Tables

You can replace the input data table with an Excel spreadsheet or any compatible Spotfire data source (such as a database or information link). The well header data table is the required customized set.

Featured DQ Tests

  • Duplicate API, Well Name, and other primary keys
  • Incorrect data type identification
  • Lookup flagging for categories (i.e. well types, statuses)
  • Township, Range, and Section format identification
  • Outlier detection for spatial coordinates
  • Data slicing by operator, attribute type, and location

Includes customizable rules which flag issues such as a completeness, validity, and consistency. A lean solution for E&P data quality management.


A template is an analysis file created in TIBCO Spotfire. The intended use is to replace the data and utilize the configured visualizations and calculations.

  1. Download the template to your personal machine. Login into your own Spotfire server and open the downloaded file.
  2. Review the tables shown on the data load page. These are the tables you'll replace.
  3. Replace the data with another Excel sheet or connect the template directly to your database or platform.
  4. Customize with your own data. You are free to embed and incorporate your template into other projects.
  5. All done!

Spotfire Templates are provided as is and do not require licenses.

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RAI Well Header KM Analysis

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Product Details
Release date: October 23, 2015
Last updated: October 23, 2015
Current version: 1.2
Software application type: Spotfire Template
File format: .dxp
File size: 1.8 MB
Requirements: TIBCO Spotfire Professional 6.5+

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