Characterizing Drilling Applications and Bit Designs Using Common Responses Improves Bit Selection Outcomes
- S. Craig Russell (Baker Hughes) | Chaitanya Vempati (Baker Hughes)
- Document ID
- Society of Petroleum Engineers
- IADC/SPE Drilling Conference and Exhibition, 4-6 March, Fort Worth, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2014. IADC/SPE Drilling Conference and Exhibition
- 1.6.1 Drilling Operation Management, 1.11 Drilling Fluids and Materials, 1.5 Drill Bits, 7.6.6 Artificial Intelligence, 1.6.6 Directional Drilling, 1.10.1 Drill string components and drilling tools (tubulars, jars, subs, stabilisers, reamers, etc), 1.5.1 Bit Design, 4.1.2 Separation and Treating, 1.6 Drilling Operations, 4.3.4 Scale, 1.10 Drilling Equipment
- drilling application definition, common bit responses and behaviors, PDC bit characterization and selection, bit and application requirements, relating and comparing bits to applications
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Traditionally, PDC drill bit selection is based on a perceived assessment of bit features that are fit for an application such as cutter size, blade count, and gauge length. The resulting selections often neglect complex bit design trade-offs. This narrow focus creates unproductive design changes that are not rooted in drilling application requirements or performance issues. The approach described in this paper is an analytic process, relating applications and bit designs to a comprehensive set of common responses that are quantifiable, measurable, and relatable to an audience with a wide range of technical expertise.
The common responses described in this paper are aggressiveness, cleaning efficiency, lateral stability, torsional stability, side cutting aggressiveness, bit durability, cutter abrasion resistance, cutter impact resistance, and cutter thermal stability. Technical methods were developed to characterize drilling applications and bit designs independently for each of these responses. The application characterization methods draw from proven knowledge and a broad base of expert experience. The bit characterization methods are empirically derived from over a decade of drilling simulator testing, field testing, and computer simulations.
The method is demonstrated using a software tool that captures application requirements and searches for suitable bits in a comprehensive bit design database. A multi-parameter fit function returns a sorted list of all bits in descending order of their match to application requirements. The optimal bit is then selected by performing a more thorough response-by-response comparison. A case study is presented to demonstrate the functionality of the system. The results yield an improved understanding of the application, resulting in faster and improved bit selection.
The common response approach described in this paper is a breakthrough method to continuously improve bit selection by driving greater fundamental understanding of application requirements and bit capabilities. The commonality of response terminology enables ease of communication for a wide range of users such as geologists, design engineers, field personnel, and drilling operators. Besides the basic function to match bit designs to application requirements, the approach also enables efficient benchmarking. This method can be used to compare an application to other applications and a bit design to a population of other bit designs. Furthermore, the system framework is sustainable as technology evolves and application priorities change.
|File Size||1 MB||Number of Pages||15|