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Technical Paper: Drillbit Optimization System: Real-Time Approach to Enhance Rate of Penetration and Bit Wear Monitoring

Society: SPE
Paper Number: 176517-MS
Presentation Date: 2015
 Download: Technical Paper: Drillbit Optimization System: Real-Time Approach to Enhance Rate of Penetration and Bit Wear Monitoring (4.37 MB PDF) Login | Register

 

Abstract

While performing extended-reach drilling (ERD) offshore in the northern Caspian Sea, an operator required a new methodology to increase operating efficiency and reduce cost. With all modern downhole tools in place, it was necessary to use a system that allowed managing drilling parameters that directly affect rock failure at the bottom of a wellbore as well as bit performance. As a solution, a real-time drillbit optimization system was utilized to enhance the rate of penetration (ROP), decrease bit wear while drilling, and ensure maximum length of runs.

The main objective for implementing the drillbit optimization system was minimizing the human factor related to choosing operating parameters. The process started with offset well analysis, which helped identify weight on bit (WOB), revolutions per minute (RPM), flow rate, bit wear, and rock properties in relation to ROP. Based on performed analysis, the artificial neural network (ANN) was built for specific bits for every section of the well for the purpose of optimal WOP and RPM determination. Then, the recommended parameters were transmitted to the rig during execution, allowing the driller to make necessary changes on the fly to achieve optimized ROP. As a final step, based on post well analysis, the adjustment of the incoming parameters in the neural network was done for future improvement. The drillbit optimization system recommendations helped to increase ROP minimum by 6%.

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