Digital Oil Field Data Explorations/Workflows

• Digital Transformation and Oilfields
• Key technologies for digital oilfields
• Oilfield System Data Verification and Management

A Brief/Incomplete Primer on ML/AI

• Data Science versus Data Analytics
• AI, ML and Deep Learning
• Data Analytics Lifecycle
• Bias-Variance-Complexity Tradeoff
• Data Preparation
• Model Types
• Role of Domain Knowledge
• Training & Evaluating Model
• Toolsets

System Setup & Checks

• Google CoLab – Why do we need it?
• Pull datasets & codebase from the GitHub repository

Data Workflows & Best Practices in Data Exploratory Analysis

• Data types in Production Domain: Streaming (Real-time or time-series) vs. Static (non-streaming)
• Data Processing Challenges
• Data Basics: Cleaning, filtration, and regulation
• Best practices on data exploratory analysis

Choke Flow Rate Study

Brief description of the data set/problem use case and expected outcome

• Problem, input & output variables
• Hands-On Exercise: Multiple ML Models & comparison

Rod Pump Dynamometer Card Classification

Brief description of the data set/problem use case and expected outcome

• Problem, input, and output variables definition – SPE paper
• Data set
• Hands-On Exercise: Model development & testing

Multiphase Flow Meter

Brief description of the data set/problem use case and expected outcome

• Problem, input & output variables – SPE Paper
• Hands-On Exercise: Multiple ML Models & comparison