Abstract
A method has been developed that identifies which factors are controlling rate of penetration (ROP) in a particular group of bit runs. The method uses foot-based mud logging data, geological information, and drill bit characteristics, to produce numerical correlations between ROP and applied drilling parameters or other attributes of drilling conditions. These correlations are then used to generate recommendations for maximising ROP in drilling operations.
Keywords:
rotary speed,
flow rate,
iadc spe 35107,
hsi,
correlation,
lithology,
spe 35107,
hydraulic horsepower,
wob,
artificial intelligence
Subjects:
Drillstring Design,
Drill Bits,
Drilling Operations,
Drilling Fluids and Materials,
Reservoir Characterization,
Formation Evaluation & Management,
Information Management and Systems,
Bit design,
Drilling fluid selection and formulation (chemistry, properties),
Open hole/cased hole log analysis
Copyright 1996, IADC/SPE Drilling Conference
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