Abstract:
In today's drilling industry, all considerations are involved to reduce drilling operation expenditure. Rate of penetration has significant effect on the overall drilling time. By other mean, driving ROP optimization and modeling using different approach and disciplines to be a viable solution for reducing drilling operations time.
For this research study, an extensive literature survey on Bourgoyne and Young model conducted that showed data limitation especially bit wear component. Wearing of bit is the main constrain for multiple regression technique; thus new technique were innovated via bit wear distribution over drilled interval depends on formation fingerprint.
Field data collected from three wells located in Blue Nile basin (Sudan) consisting drilling; geological and logging data have been used to validate new technique. Unknown coefficients have been determined via collected data; followed by correlations using Statistica-12.5 software via residuals. Then multiple regressions applied via Statistica-12.5 software showing acceptable values of nine unknown coefficients, hypothesis test of predicted coefficients shows over 95% confidence interval. Drilling rate predicted as a function of optimum weight on bit and rotation per minute using Bourgoyne and Young model; which showed saving 25% of drilling time.
Out comes was verified through PayZone drilling simulator via simulate field measuring data and re-simulate predicted values. Result revealed the proficiency of predicted drilling rate values. The rate of penetration general equation constructed for each formation. Then graphs produced for each formation individually depends on bit type and operation conditions.
The methodology and out comes presented in this research enable all researchers and employees in drilling industry to predict optimum penetration rates directly through produced graphs accurately during the well planning period for next wells to be drilled in Blue Nile Basin and other similar formations.
This research offers new technique via distribution of drill bits dullness over drilled interval depends on formation fingerprint to overcome data limitation
constrain. Together with conducted qualitative and quantitative analysis of the optimized results revealed high potentiality of new novelty through both operation and economic benefits on Drilling Engineering Operation Approach.
