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What data is contained in Completion Records?

Enhance your comprehension of oil and gas completion data by exploring the key elements and their significance.

The oil and gas industry relies heavily on detailed data to optimize operations and ensure efficiency. One crucial aspect of this data is the information related to well completions. The following schema provides a comprehensive overview of the various attributes tracked in oil and gas completion records:

Key Attributes of Completion Records

While our data model contains a complete list of the attributes and their data definitions, the below provides information on many of the key attributes.

  1. Completion ID: This is the state identifier for each completion record, ensuring distinct tracking of every entry.
  2. Completion Date: The date when the well completion was performed, essential for chronological tracking and performance analysis.
  3. Completion Purpose: The purpose of the completion (e.g., oil completion, gas completion, injection completion, permitted completion), which helps in understanding the strategic intent.
  4. Completion Type: The type of completion performed (e.g., New Well, Plug Back, Re-entry), which influences the well’s production potential and strategy.
  5. Date Created and Date Last Modified: These timestamps indicate when the record was initially created in WellDatabase and when it was last updated, which is vital for maintaining the accuracy and timeliness of the data as well as ensuring a clear audit trail.
  6. Operator: The company or entity responsible for the completion, important for accountability and operational analysis.
  7. Well Name and Lease Name: These fields provide the names of the well and the lease, aiding in easier identification and reporting.
  8. Well ID: This unique identifier links to a specific well, crucial for tracing the history and performance of individual wells.
  9. Well Number: A specific number assigned to the well at the time of completion, which helps in distinguishing between multiple wells within the same lease or field.
  10. Lease ID: A unique state identifier for the lease at the time of the completion, which helps in correlating multiple wells under a single lease.
  11. Lease Acreage: The size of the lease area at the time of completion, important for assessing the potential resource volume.
  12. District: The geographical state district where the well is located at the time of completion, significant for regional analysis and regulatory compliance.
  13. Formation: The geological formation where the completion occurred, providing insights for geological and production analysis.
  14. Interpreted Formation: The formation identified through tops interpretation, providing additional context for the completion.
  15. IP Oil, IP Gas, and IP Water: Initial production figures for oil, gas, and water, respectively. These metrics are key indicators of well performance immediately after completion.
  16. Upper Perf, Lower Perf, Upper Perf TVD, and Lower Perf TVD: These fields provide details on the upper and lower perforation depths and true vertical depths, which are critical for understanding the completion interval and reservoir characteristics.
  17. Measured Depth and True Vertical Depth: The total measured depth and true vertical depth of the well, fundamental metrics for understanding the well’s reach and vertical extent.
  18. Plug Back MD and TVD: Measurements related to plug-back, indicating the depths to which the well was plugged back for completion.
  19. Electric Log Run Type: Details about logs run during the completion process. (e.g., Density logs, Induction only, Neutron logs, etc.)
  20. Frac Max PSIG: The maximum pressure recorded during fracturing operations, important for safety and performance analysis.

Conclusion

The schema in our data model provides a complete and detailed framework for capturing and analyzing completion data, click here to access. The richness of this data supports strategic decision-making and enhances the overall efficiency of oil and gas extraction processes.


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