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Divertors

Optimization of Near Wellbore Divertors: A Machine Learning Approach

A research project focusing on the optimization of near wellbore diverters in Hydraulic Fracturing with the help of data collected through lab experiments and the development machine learning model to predict the pressure for given concentrations of Bead, Powder, and Flakes. The project was primarily focused on the end goal of web app development that lets users predict the pressure on custom observations of Beads, Powder, and Flakes in Hydraulic Fracturing.

The website is currently under development.

January 15, 2024

Optimization of Near Wellbore Divertors: A Machine Learning Approach

A research project focusing on the optimization of near wellbore diverters in Hydraulic Fracturing with the help of data collected through…

  • Team Size

    3 Members

  • Project Type

    Research

  • Duration

    4 Months

  • Place

    Gandhinagar, Gujarat

  • Tags

    Divertors, ML, Project

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