Drilling parameter recommender
Challenge
- Identifying optimum drilling parameters is a challenging manual process, especially when analyzing large datasets from offset wells.
- Heavy reliance on subject matter expert (SME) domain experience introduces human biases in decision-making.
- Despite the availability of high frequency drilling data, deriving actionable insights remains a significant challenge.
Solution
The AI Drilling Parameter Recommender is a deployable ML-based solution designed to optimize drilling performance by identifying the most effective drilling parameters. It leverages historical highfrequency drilling data and machine learning models to provide actionable recommendations, eliminate biases, and enhance operational efficiency.
The solution ensures repeatable and consistent results through advanced insights, helping reduce non-productive time and improve the Rate of Penetration (ROP).
“This is information we never used to have at our fingertips! This allows us to expand the wells we analyze while planning wells.”
Operator Drilling Manager
Results
Data analysis is ten times faster than before.
ROP Improved by up to 15%.
A two-three times improvement in efficiency and downhole risk reduction was achieved.
