This course equips students and professionals with essential skills in TIBCO Spotfire analytics for the oil and gas industry. Participants will learn data preparation, advanced field data analysis, and visualization, including KPI analysis and real-time dashboards. The course covers production trend forecasting with machine learning, time series analysis, and drilling optimization, providing practical tools for real-world challenges in the sector.

Duration: 4 Weeks

Why to Learn Spotfire and how it will help me in career?

Learning TIBCO Spotfire can significantly boost your career by enhancing your data visualization and analysis skills. Here's how it benefits you:

• Data Visualization & Analysis: Spotfire allows you to create interactive, insightful dashboards, helping you communicate complex data effectively and make informed decisions.
• High Demand: Spotfire skills are sought after in industries like oil and gas, where data analytics drives optimization and safety.
• Cross-Industry Relevance: These skills are transferable across various industries, broadening your career opportunities.
• Efficiency & Productivity: Spotfire automates data analysis, increasing your efficiency and freeing you up for higher-level tasks.
• Competitive Edge: Mastering Spotfire sets you apart in the job market, showcasing your ability to handle data effectively.
• Career Growth: Proficiency in Spotfire can lead to advanced roles like data analyst or business intelligence specialist, often with better pay and growth potential.

In summary, learning Spotfire equips you with in-demand skills that enhance job prospects, decision-making, and career advancement across industries

• Introduction to Spotfire analytics.
• Data Connection and Loading in Spotfire.
• Data Cleaning.
• Data Transformation.
• Handling missing data and outliers.

2. Field Data Analysis, Visualisation and Interpretation in Spotfire

• Creating plots, charts and tables in Spotfire.
• Interpreting field data visualizations and plots in Spotfire.
• Multivariate Data Analysis.
• Statistical Analysis of field data.
• Line and curve fitting in Spotfire.

• Geospatial analysis of field data.
• Evaluating performance by well and by field.
• Production performance KPI Analysis.
• Rate Allocation.
• Root cause analysis.
• Building interactive production dash boards for real time production monitoring.

4. Production Trend Analysis and Forecasting with Machine Learning in Spotfire

• Time Series Analysis of Production data.
• Production Anomaly detection.
• Production forecasting with Machine learning.
• Predicting and Preventing pump failure.

• Exploratory Data Analysis for Drilling variables.
• Feature engineering.
• Predicting Rate of Penetration With Machine Learning Algorithms.
• Evaluating model performance.

6. Reservoir Performance Monitoring with Spotfire

• Real time reservoir monitoring and surveillance.
• PVT data QC.
• History matching quantitative assessment.
• Reservoir diagnostic plots.