نوع مقاله : مقاله مهندسی معدن
نویسندگان
1 گروه مهندسی نفت، واحد خمینی‌شهر، دانشگاه آزاد اسلامی، خمینی‌شهر، ایران
2 گروه مهندسی نفت، واحد خمینی‌شهر، دانشگاه آزاد اسلامی، خمینی‌شهر، ایران.
3 گروه مهندسی مکانیک، واحد خمینی‌شهر، دانشگاه آزاد اسلامی، خمینی‌شهر، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
The rheological properties of drilling fluids are essential parameters in optimizing drilling operations and reducing the total cost of drilling. In this research, in the first stage, the effect of adding herbal polymers of pulverized and unpulverized rice husk on the amount of shear stress of water-based drilling mud (a mixture of water and bentonite) at different shear rates has been investigated and compared. After determining the plastic viscosity (PV) and yield point (YP) of the samples based on the Bingham model, no uniform trend was observed in the changes in the rheological properties of the drilling mud with the increase in the mass of each additive to the base fluid. In the next step of the research, a model based on a two-layer feedforward artificial neural network is designed to predict the shear stress of the studied drilling muds for the input of the arbitrary mass of the additive polymer and arbitrary shear rate of the mud sample, and the network was trained for each set of data corresponding to each of the additives, which resulted in accurate and favorable estimation results. The percentage of average and maximum error obtained for the output values corresponding to the network test data is smaller compared to the results of applying the widely used Herschel-Bulkley model. Moreover, we found through sensitivity analysis that the importance and degree of influence of the shear rate on changes in shear stress are higher compared to the additive mass.
کلیدواژه‌ها [English]
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