Static Reservoir Modelling
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Static Reservoir Modelling
This self-paced course provides expert knowledge on the workflow of building static reservoir models. It covers the essential theoretical steps of structural modeling, stratigraphic layering, and petrophysical property distribution to create accurate subsurface representations for resource evaluation.
Description
Geological modeling is the foundation of successful reservoir management, serving as the bridge between seismic interpretation, well logs, and dynamic simulation. This e-learning program guides professionals through the integrated workflow of constructing a static model, starting from data validation to the final volumetric assessment. Participants will explore critical methodologies such as structural framework building, fault modeling, and the application of deterministic vs. stochastic algorithms for property distribution. The curriculum emphasizes the geological concepts and "best practice" workflows required to build geologically reasonable models, ensuring learners understand why and how models are constructed independent of specific software platforms.
To reduce uncertainty and optimize well planning, subsurface teams must build representations of the formation that accurately reflect geological reality. This course introduces the rigorous workflows necessary to translate geological interpretations into digital formats suitable for reservoir simulation and resource evaluation. By mastering the principles of zonation, gridding, and upscaling, learners will gain the skills to construct robust static models that support high-value decision-making.
Participants will learn to design and validate static reservoir models by mastering the construction of 2D and 3D structure maps and fault networks. The course enables learners to perform well log correlation, define stratigraphic frameworks, and execute pillar gridding strategies. Additionally, geoscientists and engineers will acquire the skills to distribute petrophysical properties (porosity, permeability) using deterministic and stochastic methods, perform upscaling for simulation, and calculate in-place volumes based on defined fluid contacts.
This is a self-paced e-learning program designed to provide a deep understanding of static modeling principles through theoretical lectures and conceptual case studies. The methodology focuses on the fundamental workflows, geological reasoning, and quality control steps involved in geomodeling, allowing professionals to master the "art and science" of reservoir characterization without the need for live software access.
Organizations will benefit from subsurface teams capable of building and reviewing geological models with a critical eye. By equipping staff with a strong theoretical understanding of the modeling lifecycle—from structural definition to property modeling—companies can ensure that their resource evaluations and dynamic simulations are based on geologically sound inputs, reducing the risk of dry holes and sub-optimal development plans.
You will gain advanced technical competence in reservoir characterization, mastering the integrated workflow of static modeling. This training enhances your ability to visualize subsurface structures, define complex stratigraphic relationships, and apply geostatistical concepts to property modeling, empowering you to lead geomodeling projects and collaborate effectively with reservoir engineers.
Geologists
Reservoir Engineers
Geophysicists
Petrophysicists
Geomodelers
Module 1: Fundamentals of Geomodeling
Module 2: Data Quality Control & Correlation
Module 3: Structural Framework & Mapping
Module 4: Fault Modeling
Module 5: Stratigraphic Modeling
Module 6: Grid Design & Geometry
Module 7: Upscaling & Property Modeling
Module 8: Fluid Contacts & Volumetrics
On successful completion of this training course, PEA Certificate will be awarded to the delegates.
This course has been meticulously developed by a seasoned PEA expert renowned in the oil and gas industry. With extensive hands-on experience and a proven track record in delivering innovative solutions, our trainer brings a wealth of technical expertise, deep industry insight, and a commitment to excellence. Learners can trust that they are gaining knowledge from a leading authority whose dedication to professional development ensures you receive only the highest-quality training to elevate your skills and career prospects.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.
