Data Migration

Well data migration and systems integration

Move, map, validate and connect drilling and completion records across operational systems, SQL databases, Snowflake and enterprise reporting tools.

Reliable data movement starts with understanding the records

Well data migrations involve more than copying database tables. Parent-child relationships, report dates, multiple job records, operational classification and business logic must remain consistent in the target environment.

JUIA combines extensive well operations knowledge with SQL Server, Snowflake, Power Query and Power BI experience to assess and deliver agreed migration and integration work.

Services

  • Source-system discovery, data profiling and extraction
  • WellView, WellView Allez and OpenWells/EDM data mapping
  • ETL transformation logic and database integrations
  • Source-to-target reconciliation and data-quality checks
  • Snowflake and SQL Server data models
  • Power BI dataset and downstream reporting validation
  • Documentation, controlled cutover planning and post-migration support

Typical delivery approach

1

Profile

Identify data structures, quality issues and reporting dependencies.

2

Map & transform

Build traceable mappings and transformations with agreed controls.

3

Reconcile

Validate records, calculations and operational outputs before acceptance.

Migration knowledge

Read our WellView data migration checklist for common source-to-target validation considerations.

Suggested deliverables include a field-mapping register, reconciliation queries, an exception log and documented acceptance decisions. See JUIA's broader well data management services.

  • Key preservation and the expected parent-child relationships.
  • Null, duplicate and orphan-record checks after transformation.
  • Reporting dates, time zones and asset-specific operating-day boundaries.
  • Defined comparisons of job cost, rig time and classified operating activities.
  • Representative report outputs tested by business owners before cutover.

Successful row loading is not the same as a successful migration. A useful acceptance pack compares source and target results at multiple levels: unique wells, jobs, daily reports and high-value measures used by operational teams. It also identifies exceptions rather than hiding them inside overall totals.

Migration acceptance checks that matter to drilling teams

Frequently asked questions

What data platforms can JUIA work with?

Projects can include WellView, WellView Allez, OpenWells/EDM, SQL Server, Snowflake and downstream reporting tools where authorised access and integration methods are available.

How do you reduce migration risk?

A scoped migration should define source-to-target mapping, reconciliation controls, data ownership, record counts, relationship checks, testing and an agreed cutover approach.

Data quality and source-to-target validation →

Let’s talk

Book a Consultation

Discuss your WellView, WellView Allez, OpenWells, migration, reporting or AI requirements with JUIA.

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