A production dashboard is only as good as the model behind it. If well names, dates and units are not consistent, no amount of visual design will make the numbers agree, and the first time a manager finds two dashboards showing different production for the same day, trust in all of them disappears. Data modelling therefore comes before visualisation, always.

Power BI handles this work well when it is used properly. Power Query does the extraction and cleaning in a repeatable way, so the same transformations apply every refresh rather than being done by hand. A well-designed star schema with proper date and well dimensions makes measures simple. DAX then provides the calculations, and if the model is right, most production measures are straightforward.

Dashboard design is about the decision, not the data. A field operations dashboard should show what is down and what needs attention today. A surveillance dashboard should show which wells are outside expectation. A management dashboard should show production against target and the main loss causes. Trying to serve all three in one page produces something nobody uses. This course covers the modelling discipline and the design judgement together.

By the end of this training, participants will be able to:

• Identify production data sources, their structures and their common quality problems.
• Define validation rules and manage production data quality.
• Design a data model for production reporting, including well and time dimensions.
• Use Power Query to extract, clean and transform production data repeatably.
• Write DAX measures for rates, volumes, uptime, deferment and efficiency.
• Build comparisons against targets, budgets and prior periods.
• Design dashboards for operations, surveillance and management audiences.
• Select appropriate visuals and avoid common presentation errors.
• Configure refresh, performance, distribution and access control.
• Apply governance so reports remain accurate and trusted over time.

Organisations sending participants to this training will:

• Produce production reporting the organisation trusts.
• Reduce manual effort in routine reporting.
• Improve data quality through repeatable validation.
• Give operations, engineering and management reports suited to their decisions.
• Keep reporting accurate as data sources and requirements change.

Participants will:

• Understand production data structures and quality issues.
• Be able to model production data properly.
• Be able to build and maintain Power BI dashboards.
• Be able to write the DAX measures production reporting needs.
• Be able to design reports people use rather than ignore.

• Production engineers
• Production reporting and data staff
• Operations and performance analysts
• Production technologists
• Planning and business analysts supporting production
• Engineers responsible for departmental reporting

Upon successful completion of this training course, delegates will be awarded an official Certificate of Completion issued by the Petroleum Engineers Association (PEA), an ISO 9001:2015 certified training organization. The certificate carries 10 Credits and formally records the total learning hours completed.

Each certificate is signed by the Course Facilitator and the CEO of the Petroleum Engineers Association, and serves as verifiable proof of professional training that delegates can present to employers and professional bodies worldwide.