Drilling Performance Evaluation Through Bit Cutters Reconfigurations and Micro Fractures Initiation
Bibliographic record
Abstract
Abstract Drilling operations of petroleum wells are primarily applied to create channels through subsurface formations for oil and gas production. For best drilling performance, drilling parameters including weight on bit (WOB), rotary speed in Revolutions per Minute (rpm), drilling Fluid Rates (FR), etc. need to be applied optimally to enhance drilling performance, to reduce cost, and to minimize wear of downhole tools. In this research, the drilling performance was evaluated based on examining the Drilling Rate of Penetration (ROP) in granite blocks through changing the face of a multi diameter Polycrystalline Diamond Compact (PDC) bit into three different design scenarios including the Flat Base bit (FB), Drilling Hole Opener bit (DHO), and Coring Hole Opener bit (CHO). All input drilling parameters were kept constant and the only variable was the bit configuration. The purpose of this research was to evaluate the change in the ROP and to establish an investigation on why ROP varies when bit is reconfigured just by repositioning cutters. By linking the ROP variation to the bit configuration, a possible phenomenon of creating micro fracturing could be the reason for the ROP enhancement. Taking the FB as a baseline, results showed an increase in ROP using DHO and CHO over FB bit. The idea behind this could lay behind initiating micro fractures resulting a weaker rock portion by the 1st drill path to be drilled by the upper part of the bit. Based on the averaged results, ROP of DHO increased by 37.5 % at 5 kN and by 47.1 % at 10 kN. Similarly, the ROP of CHO increased by 12.5% at 5 kN and by 11.8 % at 10kN indicating that initiation of micro fractures could play a role in the enhancement of the ROP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".