The challenge:

With expanding exploration and a rapidly growing number of wells in North America, this $14 billion independent had reached a tipping point trying to create a single trusted data store from millions of data elements originating from multiple sources. While their expertise across all specialty areas was extremely strong, not everyone had a good understanding of manipulating geoscience data. Complicating this issue was the lack of effective tools to identify and correct inaccurate or incomplete data. Two primary factors drove the need for a new solution:

  • First, as the company expanded its exploration in shale plays, access to high-grade well location data became more and more critical. For example, they required subsurface tolerances of more than one hundred feet between well bores and even greater tolerances between frac zones to avoid wellbore collisions, steer around known obstructions, and ensure safety.
  • Second, as they embarked on a program to create a more trusted well master data store providing consistent and comprehensive data across the well lifecycle, they encountered several challenges including:
    • Efficiently and effectively aggregating and blending millions of data attributes from multiple sources in a way that would connect the most accurate data on each unique well, including all its components
    • Data for a large number of wells was incomplete
    • State and IHS data for the same well attributes had different values
    • Different members within the same asset team were using varying well information from different sources, lacking consistency
    • There was concern within data management about source integrity

Solution and benefits:

After successfully utilizing EnergyIQ’s TDM PPDM Gold Compliant solution to solve many other data management challenges, they again turned to the company for its expertise and unique well identification methodology based upon PPDM standards. The TDM’s well identification approach combines an innovative data model with software capabilities that enabled the company to create an enterprise well hierarchy by uniquely identifying each well and its components (such as wellbores and completions), and establishing and managing the relationships between wells and related components.

  • Source data is loaded into the system in various formats according to how it’s delivered. Configurable data quality rules cross-check and validate data accuracy during the loading process to identify poor quality data before it’s loaded. For example, data with a completion date that’s earlier than a corresponding spud date is automatically flagged for correction, enabling one source to be corroborated with another.
  • Each source then goes through the EnergyIQ aggre-blend process to create the well hierarchy.
  • Aggregation is the first step, tying together completions to create master wellbore records, and tying together wellbores to create master well records, all according to PPDM’s “What Is A Well” hierarchy.
  • Blending then utilizes business and data governance rules (as configured by the company) to prioritize attributes from various sources to create the company “Gold” record at all levels of the well hierarchy.
  • The final blended data is then integrated into specialists’ systems, giving every user access to fully-blended and consistently accurate data used across all stages of the well lifecycle.

The result is a more accurate and comprehensive well master data store that presents data according to a well hierarchy that better serves the unique needs of every team including planning, land acquisition, drilling, production, and completion.

  • New blended well records are more comprehensive and reliable, containing specific attributes for every level of the well hierarchy.
  • Quality checks and controls deliver the most accurate data possible, helping avoid costly mistakes and improving safety.
  • Manual blending processes are all but eliminated, streamlining the process
  • New source data is available almost immediately, enabling more confidence in decisions made based on real-time information.
  • Precision, speed, and safety are increasing as completion rates in high density drilling areas accelerate.

Solution Summary

  • Shale play expansion drives need for high grade well location data
  • Required more consistent, trusted data across well lifecycle
  • Expanded use of EnergyIQ TDM solution
  • More comprehensive and reliable well records by blending multiple sources
  • Precision, speed, and safety are increasing as completion rates in high density drilling areas accelerate

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