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Courses
- Test Course
- Project Management in Oil & Gas Industry
- Integrated Formation Evaluation
- Applied Reservoir Geomechanics
- Practical Reservoir Engineering Methods Using Python
- Advanced Reservoir Economics
- Data Mining for Oil and Gas Professionals
- Advanced Reservoir Engineering Using MS- Excel
- Well Test Analysis and Interpretation using MS Excel
- Well Completion
- Practical Reservoir Simulation
- Applied Well Planning and Engineering
- Advanced Petroleum Geomechanics
- Reservoir Characterization Using Core Analysis (RCAL & SCAL)
- Advanced Geosteering
- Machine Learning Application for Well logging and Petrophysical Interpretation
- Oil and Gas Flow Assurance and Production Chemistry
- Machine Learning for Reservoir and Production Engineering
- Integrated Reservoir Management
- Advanced PVT EOS & Flow Assurance Modeling
- Fundamentals of Petroleum Economics and Decision Making Under Uncertainty
- Advanced Data Interpretation in Reservoir Engineering Using Python
- Petroleum Data Analytics
- Data Science Application in Regional Oil and Gas Fields Study (with R and SQL)
- Well Stimulation and Advanced Acidizing
- Seismic Interpretation with OpendTect
- Instrumentation Design Engineering
- Applied Machine Learning and Data Science for Reservoir Engineering
- Applied Machine Learning and Data Science for Production Engineering
- Oil and Gas Data Management and Dashboarding Through SQL, NoSQL and Python
- Oil and Gas Analytics and Dashboarding Using Spotfire
- Data Analysis & Visualization For Oil & Gas Using Python, SQL , BI & Tableau
- Applied Machine Learning for Production Engineering
- Data Analytics Workflows for Artificial Lift, Production and Facility Engineers
- Digitalization, Downhole Communication & Python Application in Drilling Engineering
- Python for Reservoir & Production Engineering
- Waterflood Performance Analysis Using MS Excel
- HSE For Oil & Gas
- 1 Day Short Course On Fundamentals and Simulation of Carbon Storage in Depleted Oil and Gas Wells
- Advanced Waterflooding Performance Analysis Using MS- Excel
- How to Approach Carbonate Reservoirs
- Advanced Distillation Operation, Control, Design, and Troubleshooting
- Machine Learning For Oil and Gas Using Python The Ultimate Data Driven Adventure
- Rock Physics and Machine Learning for Quantitative Seismic Reservoir Characterization
- Advanced Diploma in Reservoir Engineering
- Python For Reservoir Engineering and Surveillance
- Heat Exchangers: Types, Application, Design, Operation & Maintenance
- Prospect Maturation: Adding AI for Hydrocarbon Analysis
- Data Analytics and Machine Learning for Oil and Gas Using Microsoft Power BI
- Metering & Measurement Principles & Practices
- Gas Processing and Conditioning
- Reservoir Economics Using MS-Excel
- Advanced Well Test Analysis & Interpretation Using MS- Excel
- Python For Geology & Geoscience
- Advanced Seismic Interpretation
- 5 Days Professional Course On Drilling, Workover & Well Intervention Calculations For Oil & Gas Wells
- Artificial Lift & Production Optimization Using Excel
- Artificial Intelligence Reservoir Simulation & Modeling
- Reservoir Performance Analysis & Surveillance
- Application of Statistics in Geology using Python
- Practical Diploma in Advanced Well Engineering and Drilling Operations Optimization
- Advanced Reservoir Characterization Permeability Prediction, Reservoir Rock Typing, And Saturation Height Modeling
- Principles & Application of Production Logging Tools (PLT) (Industry Software Applications)
- Well Intervention Operations
- Hands-On Training on Directional Well Trajectory Designing & Anti-Collision Analysis
- Pitfall Of Seismic Imaging (Advanced Seismic Processing & Interpretation)
- Reservoir Geophysics
- The Complete Geomodeling Course
- Python For Oil & Gas
- Rig Inspection, Sizing and Selection
- Integrated Production Modeling and Optimization
- Integrated Petrophysical Evaluation For Reservoir Characterization
- Petrel Software Training
- Dynamic Production System Modeling and Optimization From Wells to Networks
- Managed Pressure Drilling
- Oil & Gas Well Life Cycle
- Well Test Data Analytics Using MS- Excel
- Hydrocarbon Resource Volume Estimation and Classification using SPE PRMS
- Surface Well Testing
- Reservoir Engineering Using MS-Excel
e-Learning Courses
- Applied Reservoir Geomechanics
- Well Completion
- Applied Well Planning and Engineering
- HSE For Oil & Gas
- Gas Processing and Conditioning
- Integrated Production Modeling and Optimization
- Integrated Petrophysical Evaluation For Reservoir Characterization
- Petrel Software Training
- Dynamic Production System Modeling and Optimization From Wells to Networks
- Managed Pressure Drilling
- Oil & Gas Well Life Cycle
- Well Test Data Analytics Using MS- Excel
- Hydrocarbon Resource Volume Estimation and Classification using SPE PRMS
- Surface Well Testing
- Reservoir Engineering Using MS-Excel
Our expertise
- Petrochemical
- Latest trends in the Oil and Gas Industry
- Project Management
- AI & Digital Transformation
- Petroleum Business Management
- Health, Safety, and Environment
- Refining and Instrumentation
- Petroleum Facilities
- Production Engineering and Operations
- Drilling and Completion
- Reservoir Engineering
- Geophysics and Petrophysics
- Geology and Geoscience
Workshops
- Oil & Gas Data Analytics, Visualization & Management
- Applied Machine Learning for Reservoir & Production Engineering
- Reservoir simulation & prediction
- Applied Python for Oil & Gas
- Well Test Analysis and Interpretation Using MS Excel
- Python for Geology and Geosciences
- Applied Reservoir Engineering Using MS Excel
- Fundamentals of Well Intervention Operations
- Introduction to AI in Oil & Gas: Opportunities and Challenges
- Statistics, Data Analysis & ML in Geology Using Python
- MATLAB For Earth Sciences
- Applied Machine Learning and Data Science for Production Engineering
- Applied Machine Learning for Geology and Geophysics
- Power BI For Oil & Gas
- Applied Neural Networks and Deep Learning for Oil and Gas Industry
- Mastering Directional Well Planning for Extended Reach Drilling (ERD) Wells
- Applied Dynamic Well Modeling & Simulation
- Applied Machine Learning and Data Driven Modeling for Oil and Gas Using Python
- Applied Machine Learning and Data Science for Reservoir Engineering
- Casing Design Using MS-Excel
- Advanced Directional Drilling
- Everything On Drill Bit
- Fundamentals of Static Reservoir Modeling
- Well Intervention
- Formation Evaluation
- Machine Learning Applications for Well Logging & Petrophysical Evaluation.
- Python for Geoscientists: Visualize the Unseen - A 3D Subsurface Modeling Workshop
- Maximizing Value from Hydrocarbons: Recovery Mechanisms, Economic Insights, and Resource Classification
- Practical Reservoir Engineering Methods Using Python
- ML Application for Drilling Engineering Using Python
- Data Analysis & Visualization for Oil & Gas Using Python, SQL , BI & Tableau
- Machine Learning for Production Engineering
- Advanced Reservoir Engineering Using Ms-Excel: Data Analytics, Dashboarding, and Interpretation
- Python & MATLAB for Geology & Geosciences
- Applications of Geomechanics
- Building and Optimizing Drilling and Well Engineering Designs Key Strategies and Best Practices
- Temperature Measurement and Control Technology in Oil and Gas Industry
- Modern Reservoir Characterization : Integrating Artificial Intelligence (AI) with Traditional Methods
- Applied Python Programming for Oil and Gas
- H2S Safety Essentials: Free 1-Hour Live Online Course
- Applied Python Programming for Reservoir and Production Engineering
- Quick Tour in Spotfire for Energy
- Data Analytics for Oil and Gas Industry using Power BI
- Data Science and Dashboarding for Oil and Gas industry using Python and SQL
- MATLAB For Earth Sciences
- Applied Python For Reservoir & Production Engineering
- Personal Protective Equipment
- Mastering Seismic Data with Machine Learning
- Data Science & Machine Learning in the Oil & Gas Industry
- Applied Reservoir Geomechanics in Lithostudio
- Machine Learning For Oil and Gas Using Python
- Python For Reservoir Engineering and Surveillance
- 3D Geological Modeling
- Machine Learning for Reservoir Engineering
- Analysis of Waterflood Performance Using MS- Excel
- Well test analysis and interpretation utilizing MS Excel.
- Project-Based Python Workshop for the Oil & Gas Industry
- Building Blocks Of Well Completion Engineering - Key Factors Which Shape Final Decision
- Applied Python For Production Engineering
- Image Analysis In Earth Science Using Python & Multiple Software
- Advanced Data Analysis Using Python & Statistics for Earth Science
- Time Series Frontier in Oil and Gas: Applicability and Potential
- Hydraulic Fracturing Principle and Designing
- Waterflooding vs. Surfactant Flooding
- 3D Reservoir Modeling (In a Nutshell)
- Machine Learning for Petrophysics & Well Logging
- Reservoir Engineering using MS Excel
- The role of multiphase flow modeling in the future of energy mix and reducing carbon footprint
- Applications of Petroleum Geomechanics
- Fundamentals of Nodal Analysis & Basics of Two Phase Flow
- Prospect Maturation Adding AI for Hydrocarbon Analysis
- Reservoir Economics Using MS- Excel
- Application of Artificial Intelligence in Reservoir Engineering using ChatGPT
- A 5-Day Free Online Masterclass On Oil & Gas Industry
- Dynamic Production System Modeling and Optimization: From Wells to Networks
- Well Test Analysis Using Excel
- Power BI for Oil and Gas: Zero to Hero
- Introduction to Seismic Methods
- Statistics, Data Analysis and Machine Learning in Geology using Python Programming
- Integrated Production Modeling Material Balance Practices
- Geological Modeling, Mapping & Simulation Using Python
- Python For Reservoir & Production Engineering
Webinars
- pea webinar
- Recommended Resolution
- Testing webinar
- sliding-background
- Recommended Resolution: 200 x
- wegweg
- Test webinar
- P&IDs for Oil and Gas Industries
- Velocity Modelling and Depth Conversion
- Flow Measurement Theory, Application and Calibration
- The Strategic Importance of Value of Information in Uncertainty Management
- Sequence stratigraphy & the Concept of Time
- Well Stimulation - Acidizing
- Live Webinar On Well Optimization Workflow
- PVT EoS & Flow Assurance Modeling
- Pore Pressure Prediction in Waterflooded Reservoirs
- Overview Project Management for Oil and Gas Projects
- Formation Damage: Causes, Prevention, and Mitigation
- Digital Drilling Optimization Achieving a Step Change in Well Costs
- Business Led by Geophysics From Frontier Exploration to Life of Field
- Maximizing Value from Unconventional Reservoirs
- Core Analysis
- PVT EoS & Flow Assurance Modeling
- Introduction to Oil and Gas Production Chemistry: Solids Deposition and Phase Separation
- Value Chain in Oil and Gas Business
- Leveraging Python ML for Reservoir Engineering
- Introduction to Geothermal Energy and Future Prospects
- Introduction to Advanced Reservoir Simulation Techniques using Assisted History Matching (AHM) using tNavigator
- Structural & Stratigraphic Signatures of Sedimentary Basins Course
- Digitalization Downhole Communication and Python Application in Drilling Engineering
- Integrated Field Development Planning – A Multi-Disciplinary Approach
- Plant Automation and Process Control
- Cybersecurity Capability Maturity Model (C2M2) For O&G
- Industry 4.0
- ERD Drilling Planning & Smooth Drilling Execution: The Best Practices
- Petroleum Production Engineering
- Computer Vision and GenAI Applications in Petroleum Geoscience
- Free Live Webinar On Energy Project Economics
- Free Live Webinar On Data Analytics Workflows for Artificial Lift, Production and Facility Engineers
- Petroleum Data Analytics (PDA) Artificial Intelligence for Petroleum Industry
- Reservoir Geophysics
- Well Integrity in the Operate Phase - The Tools of a Crime Scene Detective
- Petroleum Geology: Characterization and Volumetrics of an Oil Accumulation
- Applied Biostratigraphy: How to Characterize Source Rocks With Palynology
- Sequence Stratigraphy: Mapping Sequences on Seismic and Prediction of Reservoir, Seal, and Source Rock
- Seismic Interpretation with OpendTect: Identifying and Mapping Hydrocarbon Accumulations with OpendTect.
- Rock Physics & Machine Learning For Quantitative Seismic Interpretation
- Naturally Fractured Reservoir Characterization
- Gas Processing and Gas Conditioning
- Practical Reservoir Simulation
- High Angle / Horizontal Drilling: Performance Review, Challenges, and Solutions
- Here comes Digital Oilfield 4.0.ai
- Reservoir Model Characterization and Design
- Free Live Webinar On Data Science applications in Regional oil and gas fields study (Multi oil and gas fields Analytics by R)
- Live Webinar On Creating Interactive Dashboard in Python
- Reservoir Analysis & Production Forecasting
- Advanced Reservoir Characterization
- Role of Core Analysis in Reservoir Development
- Advanced Seismic Interpretation
- HPHT Awareness for Rig Hands
- Well Intervention Operations
- Petrophysics Checklist For Gas Shale Plays
- Live Webinar On Directional Well Planning Optimization for Costs & Deliverability (Oil & Gas, Geothermal, CCUS Wells)
Blogs
- xyz
- Blog & Articles
- Key Takeaways | Innova Tech Showcase 2025
- Optimizing Bottom Hole Assembly (BHA) Performance with Real-Time Data: A Game Changer for Drillers
- Oil displacement caused by waterflooding (large scale and pore level)
