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Past Events
August 24, 2021
Oil & Gas Data Science Essentials on Digital Hub™: Sensor Data Transformation
Sensor data is the main data source in many operations in the Oil & Gas industry and is used in many data science applications. But this data comes at different frequencies and is hard to work with due to granularity and abundance.
In this hands-on session, we take a sample of sensor data and perform EDA and proper transformation to prepare the data for analytics applications.
July 13, 2021
Essential Data Skills for Industry Professionals - Univariate Analysis
Sensor data are common and crucial in many operation systems in Oil & Gas industry. Proper analysis and modeling of sensor data can bring many valuable insights and effectively predict events such as anomalies and failures. In this webinar we introduce different EDA process to help extract insights from sensor data and techniques in wrangling and manipulating the data into different forms in preparations for visualizations and modeling.
June 8, 2021
Machine Learning Best Practices on Digital Hub™ Platform - Part 3
In this hands-on session we demonstrate how to validate the machine learning model and combine the power plant output prediction results with electricity market price to make electricity trading recommendations. We will then show you how this recommendation will result in millions of dollars saving for power plant operators.
May 18, 2021
Machine Learning Best Practices on Digital Hub™ Platform - Part 2
Feature engineering and Hyperparameter tuning are two the most common and advanced techniques to increase the score of a machine learning model. In this hands-on machine learning session on Digital Hub™ data science platform, we walk you through these techniques in detail on power plant production data.
April 13, 2021
Machine Learning Best Practices on Digital Hub™ Platform - Part 1
Machine Learning models can learn, grow and become more sophisticated with more data. In this webinar we share the best practices in developing a machine learning solution and tips on how to organize your data science work environment and repository.
March 9, 2021
Oil & Gas Time Series Forecasting on Digital Hub™ Platform
Learn how to make your gas well time series data stationary and perform ARIMA (Autoregressive integrated moving average) modeling in python.
February 16, 2021
Oil & Gas Time Series Data Analysis on Digital Hub™ Platform
Learn how to prepare your gas well time series data for forecasting using multiple noise reduction and smoothing techniques.
January 26, 2021
Oil & Gas Machine Learning on Digital Hub™ Platform
Step-by-step demonstration of developing a machine learning model to predict power plant output and use market electricity price to make buy or sell decisions!
January 12, 2021
Oil & Gas Machine Learning Solution Development on Digital Hub™ Platform
Learn how to develop Machine Learning solutions that fits the problem you are trying to solve using innovative open source tools available on our platform Digital Hub™ and learn industry best practices and techniques from experts!
December 1, 2020
Oil & Gas Data Visualization on Digital Hub™ Platform
Demonstrating Digital Hub™ platform's team collaboration feature and how it enables data scientists and engineers to perform end to end data ingestion, exploratory analysis, and visualization to generate insights for effective decision making.
November 24, 2020
Oil & Gas Exploratory Data Analysis on Digital Hub™ Platform
Live demo of Exploratory Data Analysis on well log data and step by step data profiling, data preparation, and clustering analysis to identify rock types using Digital Hub™ platform.
September 21, 2021
Oil & Gas Data Science: IoT Data X-Ray
IoT devices generate a tremendous amount of data at various frequencies. Analyze this data requires advanced knowledge of high frequency data, industry expertise, and a powerful infrastructure to optimize the time and cost of the process. In this webinar we leverage our Digital Hub Platform’s powerful cloud infrastructure and our expertise in Oil & Gas Data Science to generate valuable insights from high frequency sensor data.