Case Study: Blade Energy achieves drilling productivity gains with Lumivero's @RISK

Blade Energy Uses @RISK to Save on Drilling

Blade Energy, an energy industry engineering firm, faced the challenge of needing to accurately forecast the benefits and productivity improvements of advanced underbalanced drilling techniques for their clients. To address this, they utilized Lumivero's @RISK software to develop a solution.

Lumivero's @RISK provided the statistical engine for Blade Energy's custom Excel-based tool, the Under Balanced Drilling Productivity Improvement Estimator (UBD PIE). By leveraging @RISK's probability distributions and Monte Carlo simulation capabilities, the tool delivers robust forecasts, allowing Blade Energy to demonstrate significant value to their clients through both improved productivity and enhanced reservoir characterization.

Blade Energy

Shaikh Rahman

Blade Energy