Training Course Advanced Petroleum Data Analytics for E&P Professionals

Course Outline

Module 1: Introduction to Petroleum Data Analytics

ü  The role of data analytics in the modern petroleum industry

ü  Overview of the E&P data value chain

ü  Common data types and sources in oil and gas

ü  Introduction to key analytical tools and platforms

ü  Practical Session: Setting up your data analytics environment

Module 2: Data Handling and Visualization for E&P

ü  Data cleaning and preprocessing for seismic and well logs

ü  Data integration from multiple sources

ü  Creating compelling visualizations of geological data

ü  Using dashboards to monitor operational metrics

ü  Practical Session: Data cleaning and dashboard creation

Module 3: Statistical Modeling in Oil and Gas

ü  Fundamentals of statistical analysis for E&P data

ü  Regression analysis for production and reserve estimation

ü  Time series analysis for forecasting

ü  Hypothesis testing and A/B testing in operations

ü  Practical Session: Building a production forecasting model

Module 4: Machine Learning for Reservoir Characterization

ü  Supervised and unsupervised learning techniques

ü  Applying clustering to identify rock types and facies

ü  Using classification models for well log interpretation

ü  Dimensionality reduction techniques for seismic data

ü  Practical Session: Unsupervised learning for reservoir zonation

Module 5: Production Optimization and Forecasting

ü  Analyzing well and field performance data

ü  Decline curve analysis using machine learning

ü  Predicting production from new wells

ü  Optimizing artificial lift systems

ü  Practical Session: Building a predictive model for well performance

Module 6: Drilling and Completion Data Analytics

ü  Data sources from drilling operations

ü  Predicting drilling parameters and optimizing rate of penetration

ü  Analyzing completion data to improve well productivity

ü  Using machine learning to predict drilling challenges

ü  Practical Session: Analyzing drilling data to optimize operations

Module 7: Predictive Maintenance in the Petroleum Industry

ü  Introduction to condition monitoring and failure prediction

ü  Using sensor data to forecast equipment failure

ü  Building predictive models for pumps, compressors, and pipelines

ü  Calculating Remaining Useful Life (RUL)

ü  Practical Session: Creating a predictive maintenance model for a pump

Module 8: Big Data and Cloud Computing for E&P

ü  Handling large-scale E&P datasets

ü  Introduction to cloud platforms for data analytics (e.g., AWS, Azure)

ü  Using distributed computing frameworks

ü  Data lakes and their role in the petroleum industry

ü  Practical Session: Cloud-based data processing

Module 9: Economic and Risk Analysis through Data

ü  Integrating economic models with technical data

ü  Monte Carlo simulations for risk and uncertainty analysis

ü  Evaluating drilling prospects with data-driven methods

ü  Optimizing capital allocation decisions

ü  Practical Session: Running a Monte Carlo simulation for economic analysis

Module 10: Building an E&P Data Analytics Project

ü  Defining a data analytics project from problem statement to solution

ü  Best practices for project management

ü  Communicating analytical results to stakeholders

ü  Building and presenting a final project

ü  Practical Session: Final project presentation and review

About Our Trainers

Our trainers are seasoned professionals with extensive experience in both the oil and gas industry and data science. They hold advanced degrees in engineering and computer science, and have successfully implemented numerous petroleum data analytics projects for leading energy companies globally. Their practical expertise ensures that the training content is not only theoretically sound but also directly applicable to real-world challenges.

Quality Statement

We are committed to delivering the highest quality training programs that are both relevant and impactful. Our petroleum data analytics courses are continuously updated to reflect the latest trends and technologies in the industry, ensuring participants receive cutting-edge knowledge and skills. We maintain small class sizes to facilitate personalized attention and a highly interactive learning environment.

Admission Criteria

ü  Participants should be reasonably proficient in English. 

ü  Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254737296202

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor-Made Courses

We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives. We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com

Accommodation and Airport Pick-up

For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202