Drill Bit & Dull Grading App

Enhancing Efficiency and Accuracy in Bit Selection and Dull Grading for Drilling Operators!

Overview

Parallel Minds developed two innovative apps as part of the OGEMS (Oil & Gas Enterprise Mobile Solutions Suite) to address the challenges faced by drilling operators in bit selection and dull grading processes. The Dull Grading app and Drill Bit Selector app have significantly improved the efficiency and accuracy of these critical operations. This case study explores the impact of these apps and their benefits for drilling operators.

Challenge

Before the implementation of the Dull Grading app and Drill Bit Selector app, drilling operators faced several challenges during bit selection and dull grading processes. These challenges included:

  • Manual Dull Grading: Dull grading required manual referencing of technical material, leading to potential errors and inconsistencies in assessing the condition of roller cone, fixed cutter bits, and other bit types.
  • Time-consuming Bit Selection: Engineers had to manually evaluate drilling condition parameters and search for suitable bits in the inventory system. This process was time-consuming and lacked real-time data on bit trending and availability.

Dull Grading App

The Dull Grading app introduced the following features to simplify the dull grading process and improve accuracy:

  • Technical Reference Material: The app provided engineers with access to a comprehensive database of technical reference material on various dull conditions. This enabled them to make informed decisions while evaluating the condition of roller cone, fixed cutter bits, and other bit types.
  • Assisted Dull Grading: The app guided engineers through the dull grading process, providing step-by-step assistance in assessing the condition of the bits. This reduced errors and inconsistencies in the dull grading process.
  • Bit Condition Report (BCR) Generation: Engineers entered run and application information, dull grade, and captured bit pictures using the app. The app then generated an initial Bit Condition Report (BCR) in PDF format, summarizing the bit’s condition and any required actions.
  • Collaboration and Validation: Engineers could share the generated BCR PDF with the engineering team for validation and approval, ensuring accurate and consistent assessments.

Drill BIt Selector App

The Drill Bit Selector app introduced the following features to streamline the bit selection process and improve efficiency:

  • Drilling Condition Parameters: Engineers keyed in drilling condition parameters such as formation type, depth, and weight on bit into the app. This information formed the basis for identifying suitable bits.
  • Integration with Inventory System: The app connected to the enterprise inventory system, checking the availability of specific bits in the drilling region. This ensured that engineers had real-time information on bit availability.
  • Bit Specification Sheets and Cheat Sheets: Based on the drilling condition parameters, the app generated drill bit specification sheets, providing detailed information on the recommended bits. Additionally, the app presented cheat sheets specific to the region, offering quick reference for bit selection.
  • Real-time Updates and Trending Data: The app had web connectivity to sync on a daily basis, updating the bit trending data per region. Engineers could access the latest information on bit performance and availability, aiding in informed decision-making.
  • Bit Part Numbers and Availability Status: The app downloaded a list of bit body part numbers along with their day-to-day trending data and availability status. This comprehensive information enabled engineers to make well-informed decisions during bit selection.

Solution

The implementation of the Dull Grading app and Drill Bit Selector app within the OGEMS suite resulted in significant improvements for drilling operators, including:

  • Enhanced Dull Grading Accuracy: The Dull Grading app eliminated manual errors and inconsistencies, ensuring accurate assessment of bit conditions. This led to better decision-making regarding bit maintenance, replacement, and overall drilling efficiency.
  • Time-saving Bit Selection: The Drill Bit Selector app reduced the time required for bit selection by providing real-time access to inventory data and automated recommendations based on drilling condition parameters. This resulted in faster decision-making and improved operational efficiency.
  • Improved Bit Performance: The use of the Drill Bit Selector app, with its access to trending data and performance information, enabled drilling operators to select the most suitable bits for specific drilling conditions. This optimization led to improved drilling performance and increased overall productivity.
  • Streamlined Collaboration: Both apps facilitated collaboration between engineers and the engineering team through features such as report sharing and validation. This streamlined

communication improved efficiency and ensured consistency in the decision-making process.

Results

The implementation of the BHA Assembler and Validator app within OGEMS resulted in measurable improvements in key metrics:

  • Assembly Time: The time required to assemble a BHA was reduced by X%, resulting in faster operational readiness and improved overall project timelines.
  • Compliance Rate: The app’s automated validation and compliance checks significantly improved the compliance rate of BHAs, reducing the risk of non-compliant configurations and associated operational challenges.
  • Collaboration Efficiency: The real-time collaborative features of the app improved communication and collaboration between engineers, leading to faster decision-making, reduced rework, and increased overall productivity.

Conclusion

The implementation of the Dull Grading app and Drill Bit Selector app within the OGEMS suite by Parallel Minds has transformed the way drilling operators select bits and assess their condition.

These apps have significantly improved accuracy, efficiency, and collaboration in the drilling process, resulting in enhanced drilling performance and productivity.

The utilization of these apps has positioned Parallel Minds as a leading provider of enterprise mobile solutions in the oil and gas industry, driving digital transformation and operational excellence for drilling operators.

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