Online Live Streaming Course

October 7 to 11, 2024

Duration : 20 hours

Level : Basic

WHO SHOULD ATTEND: This course is ideal for drilling engineering professionals with a comprehensive understanding of drilling operations, including those experienced in operations dashboard usage or design. While not mandatory, participants with a basic background in computer scripting, coding, or programming will find the content advantageous. Geared towards both experienced professionals and beginners in drilling data analytics, the course equips individuals with essential skills for data-driven decision-making and enhances proficiency in drilling engineering practices.

OBJECTIVES:

This course equips participants with comprehensive skills for proficient data analysis and visualization of drilling engineering and operations data. Participants will gain a thorough understanding of diverse data sources relevant to drilling operations, and will utilize Python to manipulate, clean, and visualize data effectively using tools such as Pandas, Matplotlib, and Seaborn. The course emphasizes practical applications, guiding participants through the implementation of event detection systems and the application of statistical analysis techniques, along with mastering predictive modeling and regression analysis for drilling parameters. A focus on problem-solving equips participants to adeptly clean and preprocess drilling data, detect events and anomalies, predict drilling parameters, and create interactive visualizations and dashboards. The course is designed for individuals with a solid foundation in drilling operations, including those with experience in operations dashboard usage and design. While a background in computer scripting, coding, or programming is beneficial, the course is approachable for beginners, offering essential skills for data-driven decision-making and enhancing proficiency in drilling engineering practices.

BENEFITS:

The course offers participants a comprehensive skill set with numerous benefits in the field of drilling engineering. By gaining a profound understanding of diverse data sources and mastering Python for data analysis and visualization, participants enhance their ability to optimize drilling operations.

Proficiency in event detection systems, statistical analysis, and predictive modeling empowers them to identify anomalies, predict drilling parameters, and efficiently address real-world challenges. The hands-on focus on problem-solving, combined with the creation of interactive visualizations, equips participants to derive actionable insights from drilling data.

Course content includes:

• Understand various data sources in drilling operations.
• Utilize Python for data manipulation, cleaning, and visualization.
• Implement event detection systems using rule-based algorithms and statistical methods.
• Apply predictive modeling and regression analysis to drilling parameters.
• Create interactive visualizations and dashboards using Power BI.
• Clean and preprocess drilling data.

• Detect drilling events and anomalies using rule-based and statistical methods.
• Predict drilling parameters and optimize operations through regression models.
• Import, clean, and preprocess diverse drilling datasets.
• Implement rule-based algorithms, statistical methods, and machine learning for event identification.
• Apply regression analysis to predict drilling parameters.
• Use statistics, hypothesis and significance tests for in-depth data analysis.
• Address real-world drilling challenges through data-driven insights and optimization techniques.