Artificial intelligence driven completion evaluation and optimization
BASINWORX multi-well evaluation employs artificial neural network (ANN) modeling and other artificial intelligence techniques and machine learning techniques to develop data-driven models that identify factors that optimize production in fractured completions. The key indicators of reservoir performance are used for the optimization of frac and completion designs.
Multi-well data for reservoir-based evaluation BASINWORX process is a data-driven modeling approach that integrates multidisciplinary data into a predictive model. To create a robust model for data analysis and forecasting, information from 20+ wells is required.
Proprietary models are built from completion and geology data types to predict new well production. The BASINWORX modeling process includes:
BASINWORX evaluations provide an index of the critical reservoir, drilling, fracturing and completion factors that drive productivity in the field.
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