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Hydraulic Fracturing Chemical Disclosure

Identify cost-effective chemical, water and sand mixtures to economically optimize oil and gas production

More than 90% of North American oil and gas operators are applying hydraulic fracturing techniques to their wells. Do you have the chemical components data required to stay competitive?

Accurate chemical disclosure in hydraulic fracturing – commonly referred to as “fracing” or “fracking” - requires extensive domain knowledge, coupled with numerous rules to address misspellings and diverse naming conventions, and machine learning to combat obfuscation.

Frac Disclosure data from IHS Markit is a comprehensive and detailed frac ingredient database for North America, backed by IHS Markit industry-leading well and production data.

This interpretation-ready dataset of 150,000 North American wells brings together chemical disclosure information from all available registries and reconciles wells to proprietary IHS Markit 14-digit UWIs, ensuring transparent, unobscured access to the most current library of supplier mappings to ingredients and purposes. This unmatched, analysis-ready data enables the following workflows:

  • Benchmarking frac best practices and trends
  • Discovery of optimal frac mixture composition by shale type
  • Supply chain and cost assessment
  • Price setting/leveraging
  • Detection and evaluation of new chemical ingredients
  • Hazard and economic risk assessment
  • Competitive analysis
  • Ability to integrate with IHS Markit Well and Production Data for optimization analysis

What's Included

Frac Disclosure from IHS Markit provides users with access to the most comprehensive, accurate, detailed and flexible frac ingredient database, including:

  • All US and Canadian FracFocus data and all US state-reported data not in FracFocus, augmented with IHS Markit E&P data and reconciled from 10-digit to IHS Markit 14-digit well UWIs
  • Proppant detail containing proppant type, resin coating, sand and ceramic quality and mesh size
  • Ingredients mapped to main purpose and sub-purpose to differentiate key active ingredients from solvents/carriers and other components
  • Targeted data selection to easily remove bias of dominant ingredients and enable comparison of frac type, wellbore integrity protection ingredients, and other individual or groups of ingredients for competitive benchmarking
  • Machine learning processes to identify patterns in ingredients, supplier, tradename, CAS#, purposes and percentages to predict missing data
  • Direct integration with well data and BI tools via API to enable rapid and flexible analysis and visualization of what chemical composition was used, and how

Perform rapid and flexible analysis and visualization of chemical compositions

Benchmark ingredient performance to oil production density

Compare operators chemical usage within different plays and basins

*visualizations generated using IHS Markit Frac Disclosure data in Tableau. Data can be visualized in a variety of BI tools

Industry Success Stories


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