1 / 14

Drilling Engineering - PE 311 Modeling of Drilling Drill Bits

Drilling Engineering - PE 311 Modeling of Drilling Drill Bits. Modeling of Drill Bits. Modeling of Roller Cone Bit. Rollercone bits have been used extensively in the drilling industry and among its various types; the three-cone rolling cutter bit is by far the most widely used all over the two

alda
Télécharger la présentation

Drilling Engineering - PE 311 Modeling of Drilling Drill Bits

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Drilling Engineering - PE 311 Modeling of Drilling Drill Bits

  2. Modeling of Drill Bits Modeling of Roller Cone Bit Rollercone bits have been used extensively in the drilling industry and among its various types; the three-cone rolling cutter bit is by far the most widely used all over the two Cunningham (1960) showed that the drilling rate of a roller-cone bit is proportional to the rotary speed of the bit at the atmospheric pressure for a wide range of RPM and WOB as expressed below: R = K*Wa*N where R = drilling rate, ft/hr ; W = weight on bit, klbf ; N = rotary speed ; and K, a = constants of proportionality

  3. Modeling of Drill Bits Modeling of Roller Cone Bit Cunningham’s model did not integrate the effect of other drilling parameters: bit diameter, rock strength, etc. Maurer (1962) proposed his model for the perfect hole cleaning condition

  4. Modeling of Drill Bits Modeling of Roller Cone Bit Bingham (1965) suggested the correlation based on limited laboratory data K is the constant accounting for the rock strength a is the WOB exponent

  5. Modeling of Drill Bits Modeling of Roller Cone Bit Bourgoyne and Young (1973) suggested a drilling rate model considering the effect of several drilling variables on rate of penetration. In this model, the effect of the parameters such as WOB, RPM, bit tooth wear and others were assumed to be independent of one another.

  6. Modeling of Drill Bits Modeling of Roller Cone Bit

  7. Modeling of Drill Bits Modeling of Roller Cone Bit Warren (1981) introduced an equation to calculate the ROP for roller cone bits that integrated the effects of the mechanical conditions such as RPM, WOB, rock strength, bit type and size through the verification with full-scale experimental data. He developed his model using dimensional analysis and generalized response curves for the best fit using laboratory data. The results have revealed that the generated rock volume by a single tooth is proportional to tooth force squared and inversely proportional to rock strength squared. His model was later modified by Hareland (1994) for taking into account the bit wear and chip hold down effects as presented below:

  8. Modeling of Drill Bits Modeling of Roller Cone Bit

  9. Modeling of Drill Bits Modeling of Roller Cone Bit In the above model, the chip hold down function characterizes the resultant force on the cuttings after they are generated by the bit and its integrated effect on ROP. Also, the wear function shows the effect of the bit wear on rate of penetration as presented below: ΔBG represents the bit wear as a function of WOB, RPM, confined rock strength and formation abrasiveness. The constant Cc which is called “bit wear coefficient”

  10. Modeling of Drill Bits Modeling of PDC Warren and Sinor (1986) proposed a single PDC cutter model to predict some parameters such as cutter forces, cutter temperature and cutter wear. Their model was developed based on a thorough geometrical relationships which was tested and verified using different sets of 30 laboratory data.

  11. Modeling of Drill Bits Modeling of PDC Another model was developed by Kuru and Wojtanowsicz (1988) for assessing the PDC bits’ performance using single cutter force analysis. The effect of the friction between the PDC cutters and the rock was considered in their study which made it different than the previous approaches and capable of predicting ROP, bit torque as well as the bit life.

  12. Modeling of Drill Bits Modeling of PDC Hareland and Rampersad (1994) developed a model for predicting formation drillability of drag bits. It was derived based on the conservation of mass where the rate of cutting removal in front of the cutters is equivalent to the rate of penetration. The effect of the operational parameters was integrated on rate of penetration with proper consideration of geometrical relationship and rock failure criteria as shown below.

  13. Modeling of Drill Bits Modeling of PDC Finally, the most recent ROP model for the PDC bits was developed by Motahari et al. (2008) which claimed to be working accurately in drilling performance

  14. Modeling of Drill Bits Modeling of PDC

More Related