Costly mistakes in type well analysis (and how to avoid them)

Type wells are the foundation of production forecasts, reserve estimates, development planning, and asset valuations. But when they’re built on flawed assumptions, incomplete data, or outdated methodologies, the consequences can be significant.

Costly mistakes in type well analysis (and how to avoid them) examines the seven most common mistakes in type well analysis and provides practical guidance for building more accurate, defensible forecasts.

In this report, you’ll learn:

• How sample size and well selection can skew results
• Why well population consistency matters
• Common decline curve and EUR forecasting pitfalls
• How depletion and parent-child effects impact performance
• Best practices for validating and benchmarking type wells
• A practical framework for improving forecast accuracy

Who should read this report?

Reservoir engineers, petroleum engineers, asset teams, analysts, investors, and technical professionals responsible for forecasting well performance and evaluating development opportunities.

Learn how to avoid costly type well mistakes and make more confident decisions.