PDC Bit Recommendations-PDC Bit Usage Insights

Example

The service can analyze JSON data to determine the degree and location of wear on the bit, using terminology conversions such as 'Bond Failure' for BF and replacing 'dulling' with 'wear'. The analysis includes a detailed report with a dull grade, wear pattern visualization, and probable reasons for the bit's pull-out from the well.

Scenario

An oilfield engineer uploads the wear data of a recently pulled bit. Using PDC Bit Recommendations, they can understand the primary wear patterns and operational impacts, which helps in selecting a better-suited bit for the next drilling operation.

Example

Based on the analysis, the tool provides specific recommendations for operational adjustments or bit changes. These recommendations are tailored to extend the bit's life and enhance drilling efficiency, taking into account the specific wear patterns and drilling conditions noted.

Scenario

For a bit showing significant heat checking and erosion, recommendations might include altering the drilling parameters such as weight on bit or rotational speed to reduce the rate of wear and avoid similar issues in the future.

Example

The tool generates a bar chart representing the degree of wear at different bit locations such as the nose, shoulder, and gauge. This visualization helps users quickly grasp where the most significant wear has occurred, guiding targeted interventions.

Scenario

A drilling supervisor reviews the bar chart provided by the tool to identify that the gauge area of the bit is experiencing the highest wear. This information is used to adjust the drilling plan to manage the gauge wear better.