Data Analytics for Drilling Optimisation

What are the Goals?

By the end of this Data Analytics for Drilling Optimization training course, participants will learn to:

• Perform the data mining and the fusion of data
• Understand how to implement the Big Data Analytics to improve drilling processes
• Appreciate Artificial neural network and its geoscience applications
• Implement data management and data analytics for intelligent reservoir characterization
• Effectively perform data analysis for production forecasting
• Implement Blockchain models for Risk Management and production optimization

Who is this Training Course for?

This training course is designed for all professionals working in the field of data analysis, oil and gas exploration, geology and reservoir modelling.

It is also quite beneficial for other people involved in the upstream oil production as it shows the interdependence of the data between the departments.

This Data Analytics for Drilling Optimization training course is suitable to a wide range of professionals but will greatly benefit: 

• Reservoir Engineers
• Petroleum Engineers
• Risk Managers
• Drilling Managers
• Field Service and Related Operations
• Business Unit Heads
• Data and Business Analysts
• Data Mining/Data Managers/Data Scientists

Daily Agenda

Day One: Mining and Fusion of Data 

• Instrumented oil fields
• Current situation in the upstream data analysis
• The SEMMA process- Sampling, Exploring, Modifying, Modeling, and Assessing
• Oilfield Data Management
• Oilfield Exploration Analysis
• Oilfield Appraisal Management

Day Two: Big Data Analytics 

• Pattern recognition
• Clustering
• Quantification of data uncertainty and prediction error and confidence interval
• Data repositories in upstream oil and gas
• Exercise: Production Data Quality Control Framework

Day Three: Introduction to IoT and Blockchain 

• IoT revolution
• IoT application in oil and gas fields
• Smart sensors for smart oilfields
• Blockchain basics
• Blockchain and Byzantine general problem in Risk Management

Day Four: Production Forecasting 

• Aggregate, analyze, and forecast production from wells and reservoirs
• Analytical workflows for a decline curve analysis
• Reserves values estimation at P90, P50, P10
• Well clustering and appraisal of wells representation
• Exercise: Oil well reserves forecasting

 Day Five: Production Optimization 

• Intelligent Reservoir Modeling Workflow
• Travel time (DT) prediction
• Gamma ray (GR) prediction
• Density (RHOB) prediction
• Hierarchical Clustering
• Exercise: Big Data Workflows definition for drilling optimization