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Visualization Design for Predictive Models of Fractured Well Production

Author(s)

Junyi JIa*, Chunwei Deng

Affiliation(s)

Harbin Institute of Petroleum, Harbin, Heilongjiang, China *Corresponding Author

Abstract

This paper explores the visualization design for predictive models of fractured well production to enhance the intuitiveness and comprehensibility of the prediction results. Initially, the theoretical foundation of predictive models for fractured well production is established, encompassing geomechanics, fluid mechanics, and statistics. Subsequently, the methodology of visualization design is elaborated, which includes three main steps: data preprocessing, model construction, and result presentation. During data preprocessing, standardization and normalization techniques are employed to ensure data consistency and accuracy. In the model construction phase, multiple linear regression and neural network models are introduced and compared to determine the optimal model. For result presentation, various charts and dynamic interactive interfaces, such as heat maps, trend charts, and 3D models, are designed to enhance user visual experience and decision support capabilities. Finally, the paper summarizes the positive role of visualization design in improving the efficiency and accuracy of predictive model applications and proposes future research directions, including model optimization, innovation in visualization techniques, and deepening interdisciplinary research. This research provides theoretical support and practical guidance for the visualization design of predictive models for fractured well production, contributing to technological advancement and application expansion in the related field.

Keywords

Fractured Well; Predictive Model; Visualization Design; Multiple Linear Regression; Neural Network Model

References

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