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AI Data Science Hackathon
May 4, 2024

Spot the Trend: Pattern Recognition Challenge 2024

Spot the Trend – A PetroAI hackathon presented a challenge to predict the bottom-hole pressure with the help of provided time series data. As a problem statement and its solutions, a bottom-hole pressure was to be predicted with an AI/ML model trained to decide whether a well is flowing or not. An AI model was then developed and optimized with 70.1% accuracy in predicting the BHP and well-flowingness.

  • Platform

    ThinkOnwards Hackathons

  • Role

    Team Lead

  • Team Size

    5 Members

  • Model Score

    70.1

  • Ranking

    Top 10

  • Tags

    AI, Hackathon, Machine Learning

BHP Prediction

The Challenge

Challenge

Spot the Trend: BHP Prediction Challenge

The data for this challenge was 1D bottom hole pressure time series from oil and gas wells.  By monitoring and analyzing bottom-hole pressures, we can optimize well design, and production rates, and maximize the fluid recovery from each well. Understanding and monitoring these pressures also helps us detect wellbore instability or formation damage.

There were basically two primary tasks to complete:

  1. Bottom Hole Pressure Prediction with Time Series Data.
  2. Predict Whether the Well is Flowing or Not.
Pathway

The Approach

Understanding

Brainstorming

  • Problem Statemnt
  • Model Architecture
  • Demand Supply Design
Machine Learning

Model Training

  • Data Analysis
  • Model Building
  • Tuning/Optimization
Fine Tune

Optimization

  • Data Study
  • Domain Understandings
  • Parameter Changes
Preview

Time Vs. BHP

Same Index

BHP - Different Wells

Intervals

Index Vs. Start/Stop

By Numbers

Different Combinations

Insight

Challenge by Numbers

0

Different Well Data

0

Model Optimizations and Re-runs

0

Different Algorithms Tried

Avg Model Score
0%
The Epochs

Model Improvements

00%

Model accuracy - Stage 1

00%

Model accuracy - Stage 2

00%

Model Accuracy - Stage 3

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