🛢️ Advanced Petroleum Data Analytics Course: Driving E&P Decisions

Course Outline

Module 1: E&P Data Landscape and Analytical Foundations

ü  Overview of the upstream E&P value chain and data sources

ü  Types of petroleum data analytics (Seismic, Logs, Production, Facilities)

ü  Introduction to Python environment setup (Anaconda, Jupyter Notebooks)

ü  Fundamental statistics for geoscientists and engineers

ü  Data governance and standardization in the oilfield

ü  Practical Session: Setting up the Python environment and loading various E&P data files

Module 2: Data Wrangling and Processing of Well Logs (LAS/WITSML)

ü  Reading and processing LAS (Log ASCII Standard) files using Python

ü  Handling missing log data and curve normalization

ü  Applying filters and smoothing techniques to log curves

ü  Feature engineering from well logs (e.g., Vshale calculation, synthetic logs)

ü  Introduction to WITSML and real-time drilling data

ü  Practical Session: Writing Python code to clean, normalize, and calculate Vshale from a raw LAS file

Module 3: Visualization and Exploratory Data Analysis (EDA) of Oilfield Data

ü  Best practices for plotting well logs and cross-plots

ü  Creating histograms and density plots to understand data distribution

ü  Geospatial visualization of well locations and reservoir properties

ü  Using interactive visualization libraries (Plotly, Bokeh)

ü  Identifying outliers and data anomalies

ü  Practical Session: Generating well log plots and cross-plots (e.g., Neutron-Density) using Matplotlib/Plotly

Module 4: Statistical Methods for Subsurface Uncertainty

ü  Regression analysis for estimating reservoir parameters

ü  Correlation and covariance analysis of log and core data

ü  Fundamentals of Geostatistics (Variograms and Kriging introduction)

ü  Probability and risk assessment in exploration

ü  Applying hypothesis testing to geological models

ü  Practical Session: Performing linear regression on core porosity vs. permeability data

Module 5: Machine Learning for Reservoir Characterization

ü  Introduction to supervised and unsupervised learning

ü  Clustering algorithms (K-Means) for rock type identification

ü  Classification models (e.g., Support Vector Machines) for lithology prediction

ü  Dimensionality Reduction (PCA) for complex log data

ü  Model training, validation, and performance evaluation

ü  Practical Session: Using K-Means clustering to identify distinct facies based on well logs

Module 6: Predictive Modelling for Production Forecasting and Decline Curve Analysis

ü  Traditional Decline Curve Analysis (DCA) methods (Arps models)

ü  Implementing machine learning (e.g., Random Forest) for production forecasting

ü  Integrating geological and completion parameters into production models

ü  Forecasting ultimate recovery (EUR) and reserves estimation

ü  Handling and forecasting production transients

ü  Practical Session: Building a machine learning model to predict 1-year oil production based on completion data

Module 7: Drilling Data Analysis and Optimization

ü  Analyzing drilling performance metrics (ROP, NPT, specific energy)

ü  Applying predictive models to anticipate Drilling Issues (e.g., stuck pipe, bit wear)

ü  Feature engineering from high-frequency sensor data

ü  Time series analysis for drilling optimization

ü  Real-time monitoring dashboards for drilling operations

ü  Practical Session: Analyzing NPT logs to identify root causes using data visualization

Module 8: Time Series Analysis for Production Surveillance

ü  Introduction to time series models specific to production data

ü  Detecting anomalies and sudden changes in production curves

ü  Using ARIMA and other models for short-term production prediction

ü  Spectral analysis of pressure and flow data

ü  Integrating weather and operational data into time series models

ü  Practical Session: Applying an ARIMA model to a production stream to forecast the next month's output

Module 9: Data Integration, Cloud Analytics, and Dashboarding

ü  Strategies for integrating disparate E&P data sources (data lakes)

ü  Introduction to cloud-based analytics platforms (Azure, AWS, Google Cloud)

ü  Building interactive monitoring dashboards using Python or commercial BI tools

ü  Data security and access control in petroleum data analytics

ü  Scaling models for field-wide deployment

ü  Practical Session: Prototyping a real-time production monitoring dashboard

Module 10: Final Project: End-to-End Petroleum Data Analytics Workflow

ü  Defining a real-world E&P problem (e.g., optimizing infill drilling)

ü  Executing the complete data science workflow (data access, cleaning, modelling)

ü  Interpreting model results in the context of reservoir physics

ü  Developing a final report and presentation for management

ü  Peer review and project feedback session

ü  Practical Session: Final Project: Delivering a complete, data-driven solution to a defined petroleum problem

About Our Trainers

Our trainers are industry-leading Data Scientists and Petroleum Engineers with an average of 15 years of experience working at major international oil companies (IOCs) and energy technology firms. They possess deep, specialized knowledge in both subsurface geoscience/engineering and advanced machine learning, ensuring this petroleum data analytics course provides instruction that is both technically rigorous and directly relevant to E&P decision-making.

Quality Statement

We are committed to delivering the highest quality professional training. Our petroleum data analytics course curriculum is continually updated to incorporate the latest machine learning techniques and open-source software libraries (Python). We guarantee a highly practical, code-driven learning experience with industry-specific data, enabling participants to immediately implement petroleum data analytics solutions to optimize assets and operations.

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