A New Method for Determining Bourgoyne and Young Model Coefficients Using Simulated Annealing Algorithm

چکیده مقاله

In petroleum industry, drilling with optimized parameters is important, because increasing rate of penetration causes reducing drilling time, as a result cost is reduced. A lot of models have been used to estimate rate of penetration. These models are used to optimize drilling parameters like weight on bit, rotary speed and other parameters by numerical methods. The most complete rate of penetration model was proposed by Bourgoyne and Young in 1974. This model consists of eight independent function and there are eight unknown constants in this model. Bourgoyne and Young recommended multiple linear regression method for determining these constants. But applying multiple linear regression leads to out of range and physically meaningless values in most of situations. In this study, in order to reach more accurate and physically meaningful coefficients, Simulated Annealing Algorithm is used to determine constant coefficients of Bourgoyne and Young model using offset well data and then using this model for prediction of rate of penetration in a new well. Wells are located in South Pars Gas Field. Results show the proficiency, accuracy and fast convergence rate of this method to determine Bourgoyne and Young model constants.

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