![]() ![]() ![]() The research on the drilling fluid optimization design system, the establishment of a high-level drilling fluid database, and the development of efficient drilling fluid optimization design methods will contribute to the learning and promotion of successful drilling fluid design experience, the realization of integrated management of formulas, the improvement of information utilization, the integration of modern computer technology and drilling fluid design, and the realization of automation, standardization, and intelligence of drilling fluid design. At the same time, the system can also output a unified design document. The development of the drilling fluid optimization design system can not only solve the problems in the traditional drilling fluid design but also has a more prominent feature that the computer system can store the design data for secondary use so that the experience accumulated in the previous design can be absorbed and the mistakes made in the past can be avoided in the new drilling fluid design process. By combining computer technology with the thinking of drilling fluid experts, the level of drilling fluid design can be raised to a new level, and the design speed and quality will be greatly improved. IntroductionĪs a main tool, computer is introduced into the design and management of drilling fluid engineering. For a given drilling fluid performance parameter requirement, this model can be applied to reverse the addition of various treatment agents, and finally, the prediction accuracy of the model is verified by experiments. This predictive model was used as part of the overall drilling fluid formulation optimization design model. The apparent viscosity ( AV), plastic viscosity ( PV), API filter loss ( FL API), and roll recovery ( R) of the drilling fluid were selected as the inspection objects of the drilling fluid performance parameters, and the support vector machine was used to establish a model for predicting the drilling fluid performance parameters. The research in this paper can reduce the experimental workload and improve the efficiency of drilling fluid formulation design. Through the research and development of the regression prediction function of support vector machine, this paper applies it to the prediction of drilling fluid performance parameters and the formulation design of drilling fluid. ![]()
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