Back

Projects

Pattern Recognition on 1D Pressure Data: Bottom Hole Pressure Prediction

Biomass Prediction and Design of an Optimum Demand-Supply Chain

Optimization of Near Wellbore Divertors: A Machine Learning Approach

Comparative Study of Oil Recovery Performance under Regular and LoSal Ionic Waterflooding

Performance Analysis of Oil and Gas Field through Reservoir Simulation and Modelling

Development of Coconut Husk Based Drilling Fluid

Gateway

Navigation

Home Page

Click on the Button Below to Jump to the Home Page of the Site - A Gateway to All the Pages.

Visit Page
Explore More

There is Always a Way More Pages on the Site. Click on the Button Below to Explore More Pages.

Visit Page
Go Back

On the Wrong Page? No Issue at All. Click on the Button Below to Go to the Previous Page or Section.

Visit Page
Collaboration

Got a question?
Let’s talk.

Feel free to share any type of query, question, recommendation or feedback via the contact form. That would surely help!!!

The website is currently under development.

Pattern Recognition on 1D Pressure Data: Bottom Hole Pressure Prediction

Pattern Recognition on 1D Pressure Data: Bottom Hole Pressure Prediction project was part of Spot the Trend – A PetroAI hackathon…

View Project

Biomass Prediction and Design of an Optimum Demand-Supply Chain

The project Biomass Prediction and Design of an Optimum Demand-Supply Chain was a part of the Shell.ai hackathon for sustainable and…

View Project
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

View Project

Comparative Study of Oil Recovery Performance under Regular and LoSal Ionic Waterflooding

A B.Tech degree final year major project at Pandit Deendayal Energy University (PDEU) with a prior focus on the comparative study…

View Project
July 15, 2023

Performance Analysis of Oil and Gas Field through Reservoir Simulation and Modelling

Reservoir Simulation and Modelling is one of the best and optimum ways to analyze the field and derive valuable insights effectively.…

View Project

Development of Coconut Husk Based Drilling Fluid

The significance of using coconut husk in drilling fluid lies in its ability to provide an effective, sustainable, and cost-efficient solution…

  • Project Type

    Funded Research

  • Team Size

    5 Members

  • Mode

    Lab Experimental

  • Place

    PDEU Campus

  • Tags

    Drilling Fluid, ORSP, Project

View Project