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This training programme provides a comprehensive, integrated exploration-to-development perspective on oil and gas prospect evaluation. It is designed for geoscientists, reservoir engineers, and exploration managers who wish to enhance their understanding of how geological uncertainties, reservoir properties, and economic factors shape the success of hydrocarbon ventures. The course emphasizes a structured, play-based workflow that begins with a foundational grasp of sedimentary basins, petroleum systems, and trap formation, and advances into complex assessments of resource volumes, risk quantification, and portfolio management.
Participants will learn to combine both qualitative and quantitative data, applying probabilistic methods to refine volume estimates and chance-of-success assessments. Alongside classical geoscience techniques, delegates will practice using spreadsheets and common industry tools to integrate geological models with reservoir engineering principles, leading to more informed drilling decisions and cost-effective exploration strategies. By the end of the programme, attendees will not only grasp the technical methods of evaluating prospects and estimating reserves, but also appreciate the importance of iterative learning—continuously updating and improving models as new data become available. This interdisciplinary approach ensures that all key players—geologists, engineers, and decision-makers—can collaborate effectively and ultimately increase the likelihood of delivering commercial, technically sound oil and gas discoveries.
• Reservoir Engineers seeking to deepen their understanding of geological foundations, improve risk and volume assessments, and integrate reservoir simulations and probabilistic methods into their evaluation workflows.
• Exploration Geologists and Geophysicists interested in enhancing their ability to quantify uncertainties, incorporate engineering parameters into prospect evaluations, and better understand how their geological models impact eventual production outcomes.
• Petroleum Engineers involved in planning, drilling, and initial development who wish to better link prospect evaluation outcomes to field development strategies, operational costs, and economic analyses.
• Portfolio and Asset Managers responsible for selecting opportunities, balancing risks, and optimizing the exploration portfolio, who need a comprehensive understanding of the technical, economic, and probabilistic aspects of prospect evaluations.
• Technical Team Leads and Project Managers overseeing interdisciplinary teams and aiming to improve collaboration between geoscience and engineering disciplines to ensure cohesive, data-driven decision-making in exploration and early field development planning.
• New Professionals and Graduate Trainees entering the industry or transitioning into exploration and reservoir engineering roles who require a solid grounding in both geological and engineering fundamentals of prospect evaluation.
Overall, the course is valuable for anyone involved in identifying, assessing, and maturing oil and gas prospects—from geoscience professionals to engineering and economic decision-makers—ensuring a holistic, integrated approach to prospect and volume assessment.
- Integrate Geological and Engineering Perspectives: Apply fundamental geological principles and reservoir engineering concepts cohesively to identify, risk, and rank oil and gas prospects
- Quantify Uncertainty and Risk: Use deterministic and probabilistic methods to assess geologic uncertainty, estimate resource volumes, and determine the probability of geological and commercial success
- Perform Robust Volume Assessments: Apply appropriate volumetric calculation techniques and reserve estimation methods, including deterministic and probabilistic approaches, to derive more reliable in-place and recoverable volumes
- Evaluate Prospect Economics and Costs: Incorporate drilling costs, operational expenses, and market factors into prospect assessments to inform early investment decisions and development planning
- Improve Collaboration in Multidisciplinary Teams: Communicate effectively with geologists, geophysicists, and reservoir engineers, fostering a shared understanding of how integrated data and interpretations support successful exploration outcomes
- Implement Workflows and Decision Gates: Use structured exploration and evaluation workflows, including play-based approaches, risk matrices, and portfolio management techniques, to guide decision-making from initial concept to production start-up
- Refine Models Through Iteration: Adjust and recalibrate geological models, resource estimates, and economic evaluations based on new drilling and production data, ensuring continuous improvement and more accurate future predictions
- Definitions of Creativity and Steps of Creative Process
- Misperceptions of Oil and Gas Exploration
- Pratt’s Mental Blocks to Oil-Finding
- Apply Scientific Method and Apply Scientific Method to Exploration
- Characteristics and Groups of Oil Finders (Including Software and Tools)
- From Idea to Oil: Concept to Discovery
- Sedimentary Basins: Definition, Classification, and Summary
- Basin Modifying Tectonics and Typical Trap Types
- Basin Evaluation, Basin Characteristics, and Basin Focus
- Introduction to Petroleum Systems (Source, Reservoir, Seal, Trap)
- Plays, Leads, Prospects, and Discoveries: Key Differences and Concepts
- Quantitative vs. Qualitative Data in Subsurface Evaluation
- Probability Basics: Single vs. Multiple Event Calculations
- Probabilities and Their Meaning (Including Ranges for Volumetrics)
- How to Calculate Probability in Excel for Reservoir Engineering Applications
- Main Uncertainties and Risks in Geology & Reservoir Forecasting
- Definitions of Error and Uncertainty, and Their Impact on Development Decisions
- Uncertainty in 3D Geological Models: Implications for Reservoir Performance
- Play-Based Evaluation: Key Elements and Steps
- Play vs. Prospect-Specific Risk and Common Risk Segment (CRS) Mapping
- Quantitative Play Fairway Evaluation and Uncertainty Quantification in Play Maps
- From Element Maps to CRS Maps and Multiple CRS Maps for Risk Segmentation
- Prospect Evaluation Definitions and Maturation Workflow
- Techniques for Quantitative Prospect Evaluation (Volumetrics, Analogues, Probabilistics)
- Standard Elements of Prospect Evaluation and Key Guidelines
- Objective of Risks and Volume Assessment in Reservoir Development
- Prospect Risks & Volume Assessment: Integrating Geological and Engineering Factors
- Risk of Oil and Gas Prospects: Geological vs. Engineering Perspectives
- How Geologists and Reservoir Engineers Jointly Risk Prospects
- Chance Factors, POS, and Risk Elements: Assessing Technical Success and Commerciality
- The Number of Risk Elements, Italian Flag, and Risk Matrix Methods
- Play and Prospect-Specific Chance Factors for COS
- Different Methods of Reserve Estimation: Deterministic vs. Probabilistic Approaches
- The Basic Volume Equation: Inputs, Outputs, and Sensitivities
- Volumetric Reserves Calculation and Outcome of Probabilistic Evaluations
- Why Volumes Go Wrong: Geologic Complexity, Data Quality, and Bias
- Introduction to Material Balance Analysis for Early-Stage Reservoir Understanding
- Integration of Reservoir Simulation Tools in Early Prospect Evaluation
- Exploration Economics: Linking Resource Potential to Economic Viability
- Prospect Scenarios and Portfolio Management for Balanced Risk Exposure
- Reservoirs: Lithology, Porosity, Permeability, and Fluid Properties
- Controls on Deposition and Reservoir Quality
- Porosity-Permeability Relationships and Pore Throat Diameters
- Reservoir Geometry, Heterogeneity, and Tight Reservoirs
- Reservoir Parameters Input and Waste Zones Identification
- Impact of Reservoir Quality on Development Planning and Well Placement
- Seals: Regional Top Seal Distribution and Membrane (Capillary) Seals
- Seal Failure, Differential Leakage of Oil and Gas, and Fill/Spill Mechanisms
- Sealing Faults and Sealed Columns
- Petroleum Trap Types: Structural, Stratigraphic, and Complex/Hydrodynamic
- Integration of Trap Analysis into Volumetric and Risk Assessments
- Subsurface Pressures and Their Influence on Hydrocarbon Retention
- Petroleum System Elements: Source, Generation, and Migration
- Source Rock Evaluation: TOC, Kerogen Types, and Maturity Windows
- Organic Diagenesis, Catagenesis, Metagenesis: Impact on Hydrocarbon Type and Volume
- Generation, Expulsion, and Migration: Calculating Generated HC Volumes
- Mass Balance Models and Burial Graphs for Predicting Charge Risk
- Primary and Secondary Migration, Lateral Movement, and Tilted Contacts
- Geological Controls on Migration and Risks for Reservoir Engineering
- Oil Prospect Drilling Benefits and Major Commitment Considerations
- Costing: How Much Does an Oil and Gas Well Cost (Onshore vs. Offshore)
- Average Operational Costs, Rig Daily Rates, and $/bbl Breakdowns
- Linking Cost Structures to Volume and Risk Assessment for Investment Decisions
- Well Result Analysis and Well Failure Analysis: Lessons Learned
- Dry Hole Revival through Post Mortem Evaluations and YTF (Yet-To-Find) Calculations
- Use of Creaming Curves, Normalized Creaming Curves, Zipf Plots, and Inventory Summation
- From Prospect to First Production: The Exploration Workflow and Milestones
- Exploration Steps, Prospect Summary Sheets, and Iterative Decision Gates
- Systematic Portfolio Management Process: Balancing Risk and Reward
- USGS World Petroleum Assessment and Global Benchmarking
- Linking Reservoir Engineering Inputs to Play-Level Decisions
- Continuous Improvement: Recalibrating Geological Models with Production Data
- Incorporating Simulation and Advanced Reservoir Management Techniques for Ongoing Evaluation
Training can take place in 4 formats:
- Self-paced
- Blended learning
- Instructor-led online (webinar)
- Instructor-led offline (classroom)
Description of training formats:
- Self-paced learning or e-Learning means you can learn in your own time and control the amount of material to consume. There is no need to complete the assignments and take the courses at the same time as other learners.
- Blended learning or "hybrid learning" means you can combine Self-paced learning or e-Learning with traditional instructor-led classroom or webinar activities. This approach requires physical presence of both teacher and student in physical or virtual (webinars) classrooms or workshops. Webinar is a seminar or presentation that takes place on the internet, allowing participants in different locations to see and hear the presenter, ask questions, and sometimes answer polls.
- Instructor-led training, or ILT, means that the learning can be delivered in a lecture or classroom format, as an interactive workshop, as a demonstration under the supervision and control of qualified trainer or instructor with the opportunity for learners to practice, or even virtually, using video-conferencing tools.
When forming groups of students, special attention is paid to important criteria - the same level of knowledge and interests among all students of the course, in order to maintain stable group dynamics during training.
Group dynamics is the development of a group in time, which is caused by the interaction of participants with each other and external influence on the group. In other words, these are the stages that the training group goes through in the process of communicating with the coach and among themselves.
The optimal group size for different types of training:
- Self-paced / E-learning: 1
- Instructor-led off-line (classroom): 6 – 12
- Instructor-led on-line (webinar): 6 – 12
- Blended learning: 6 – 12
- Workshop: 6 – 12
- On-the-job: 2 – 4
- Simulator: 1 – 2
Feedback in the form of assessments and recommendations is given to students during the course of training with the participation of an instructor and is saved in the course card and student profile.
In order to control the quality of the services provided, students can evaluate the quality and training programme. Forms of assessment of the quality of training differ for courses with the participation of an instructor and those that are held in a self-paced format.
For courses with an instructor, start and end dates are indicated. At the same time, it is important to pay attention to the deadlines for passing tests, exams and practical tasks. If the specified deadlines are missed, the student may not be allowed to complete the entire course programme.
A personal account is a space for storing your training preferences, test and exam results, grades on completed training, as well as your individual plan for professional and personal development.
Users of the personal account have access to articles and blogs in specialized areas, as well as the ability to rate the completed training and leave comments under the articles and blogs of our instructors and technical authors
Registered users of a personal account can have various roles, including the role of a student, instructor or content developer. However, for all roles, except for the student role, you will need to go through an additional verification procedure to confirm your qualifications.
Based on the results of training, students are issued a certificate of training. All training certificates fall into three main categories:
- Certificate of Attendance - students who successfully completed the course but did not pass the tests and exams can apply for a certificate of attendance.
- Certificate of Completion - students who have successfully completed a course could apply for a Certificate of Completion, this type of certificate is often required for compliance training.
- Verified Certificate - it is a verified certificate that is issued when students have passed exams under the supervision of a dedicated proctor.
You can always download a copy of your training certificate in PDF format in your personal account.
You will still have access to the course after completing it, provided that your account is active and not compromised and Tecedu is still licensed for the course. So if you want to review specific content in the course after completing it, or do it all over again, you can easily do so. In rare cases, instructors may remove their courses from the Tecedu marketplace, or we may need to remove a course from the platform for legal reasons.
During the training, you may encounter various forms of testing and knowledge testing. The most common assessment methods are:
- preliminary (base-line assessment) - to determine the current level of knowledge and adapt the personal curriculum
- intermediate - to check the progress of learning
- final - to complete training and final assessment of knowledge and skills, can be in the form of a project, testing or practical exam
Travel to the place of full-time training is not included in the cost of training. Accommodation during full-time studies can be included in the full board tuition fees.
While Tecedu is not an accredited institution, we offer skills-based courses taught by real experts in their field, and every approved, paid course features a certificate of completion or attendance to document your accomplishment.
You can preview samples of the training materials and review key information about the course on our website. You can also review feedback and recommendations from students who already completed this course.
We want you to be happy, so almost all purchased courses can be returned within 30 days. If you are not satisfied with the course, you can request a refund, provided the request complies with our return policy.
The 30-day money back policy allows students to receive quality teaching services with minimal risk, we must also protect our teachers from fraud and provide them with a reasonable payment schedule. Payments are sent to instructors after 30 days, so we will not process refund requests received after the refund period.
We reserve the right, in our sole discretion, to limit or deny refund requests in cases where we believe there is refund abuse, including but not limited to the following:
- A significant portion of the course has been consumed or downloaded by a student before the refund was requested.
- Multiple refunds have been requested by a student for the same course.
- Excessive refunds have been requested by a student.
- Users whose account is blocked or access to courses is disabled due to violation of our Terms and Conditions or the Rules of Trust and Security.
- We do not grant refunds for any subscription services.
- These refund restrictions will be enforced to the extent permitted by applicable law.
We accept most international credit and debit cards like Visa, MasterCard, American Express, JCB and Discover. Bank Transfers also may be an option.
Conducting classes is based on the fact that the teacher demonstrates text, drawings, graphics, presentations on an interactive board, while the content appears in the student's electronic notebook. A specially designed digital notepad and pen are used to create and edit text and images that can be redirected to any surface via a projector.
Classes are live streamed online, automatically recorded and published on the Learning Portal, allowing you to save them for reuse anytime, anywhere, on any mobile device. This makes it possible not to miss classes and keep up with classes and keep up with the passage of new material.
Real-life training uses the principles of game organization, which allows future professionals to rehearse and hone their skills in a virtual emergency. Learning as a game provides an opportunity to establish a connection between the learning activity and real life.
The technology provides the following learning opportunities:
- Focused on the needs of the user
- Instant feedback
- Independent decision making and choice of actions
- Better assimilation and memorization of the material
- Adaptive pace of learning tailored to the individual needs of the student
- Better transfer of skills learned in a learning situation to real conditions
Basic principles of training:
- A gradual increase in the level of difficulty in the game;
- Using a simplified version of a problem situation;
- Action in a variable gaming environment;
- The right choice is made through experimentation.
The main advantages of Game Based Learning technology:
- Low degree of physical risk and liability
- Motivation to learn while receiving positive emotions from the process;
- Practice - mirroring the real situation
- Timely feedback
- Choice of different playing roles
- Learning in collaboration
- Developing your own behavior strategy
Conducting practical classes online using remote access technologies for presentations, multimedia solutions and virtual reality:
- Laboratory workshops that simulate the operation of expensive bench equipment in real production
- Virtual experiment, which is visually indistinguishable from a remote real experiment performed
- Virtual instruments, which are an exact copy of real instruments
- Mathematical modeling to clarify the physical characteristics, chemical content of the investigated object or phenomenon.
Osama Osman
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