Research and Application of Drilling Parameter Optimization Method Based on Drilling Cost and Mechanical Specific Energy
To solve the problems of low rock breaking energy efficiency and slow mechanical drilling speed during the drilling process,a constrained Bayesian optimization algorithm model is established with neighboring well geological data,real-time logging data,and downhole engineering parameters as inputs.The optimization objectives are to maximize the conversion of drill bit energy efficiency and minimize drilling costs,with the limit of pump equipment as the constraint condition.The optimal drilling parameters are navigated in real-time.Through comparison with optimization algorithms such as NSGA-Ⅱ and random search,as well as analysis of practical well applications,it is shown that the Bayesian optimization algorithm established can ensure the accuracy of calculation results while maintaining timeliness.It is suitable for real-time navigation of drilling parameters and can help drillers identify drilling speed potential areas,avoid inefficient rock breaking work areas,and provide decision-making basis for improving rock breaking efficiency.
mechanical specific energydrilling parametersmulti-objective optimizationconstrained Bayesian algorithm
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