Geosciences
We cover all areas of Geosciences, including: Principles and interpretation of Well Logs, interpretation and description of cores, Geostatistics, Geophysics, Seismic Analysis, Geological Characterization of Reservoirs, Geomodeling, Basin Analysis, Geochronology, Petrophysical Integration and Geological Operations.
Course Catalog:
Description
This course is aimed at professionals in the petroleum sector (with or without prior training in Geosciences) and addresses the fundamental concepts of Geosciences relevant to reservoirs.
Content: The course covers the origin and formation of the Earth, and the Geoscience disciplines that influence the generation of deposits, including structural, sedimentological and stratigraphic processes.
Application/Key Topics: petrophysical models and geochemical studies are developed to understand hydrocarbon generation and migration and rock properties.
Practical Objective: The program integrates all this knowledge to define and characterize reservoirs, relying on practical examples and volumetric estimates.
Description
This course is aimed at professionals in geosciences, reservoir engineering, and petrophysics. It focuses on best practices for optimizing core acquisition, handling, and analysis for the purpose of petrophysical reservoir characterization.
Content: The course covers the entire process, from planning and sampling to monitoring conventional, geological, and specialized analyses. It promotes multidisciplinary integration and the optimal use of data.
Application: Emphasis is placed on the direct application of the procedures and results of laboratory tests and the analysis of cores, cuttings and wall samples for the characterization of the deposit.
Practical Methodology: Participants develop practical exercises (individual and group) to adapt and optimize core acquisition and analysis programs according to their needs.
Description
Content: It addresses rapid interpretation methods and fundamental topics such as the logging environment, the invasion process, and quality control. It also covers the evaluation of clean and clayey formations.
Application/Key Topics: Participants learn to interpret and determine key parameters from gamma ray (GR), spontaneous potential (SP), resistivity, porosity, and acoustic logs.
Practical Methodology: Learning is done through practical exercises that allow participants to understand and interpret these records.
Description
This course focuses on porosity as an essential parameter for reservoir characterization and reserve calculation.
Content: The course covers everything from manual methods to the use of advanced software, Artificial Intelligence and Data Science, analyzing the benefits and risks of automation.
Application: The role of porosity in economic valuation and production planning is emphasized, along with its relationship to permeability.
Practical Content: Participants will review the theoretical basis of porosity calculation from the density log, perform simulations with real data, and evaluate the impact of parameter variation.
Methodology: Includes the use of density and gamma ray logs, risk analysis and VSH calculation, being applicable to all reservoir types (sands, carbonates, shales, etc.).
Description
This course is aimed at log analysts, petrophysicists, geologists, geophysicists and petroleum engineers and is oriented towards the interpretation and use of old logs (old logs) for the petrophysical characterization of reservoirs.
Content: The course uses empirical relationships, mathematics and modeling tools, including Artificial Intelligence (AI), to rejuvenate old profiles. Key concepts are addressed, such as: resistivity, porosity, water saturation, logging environment, invasion process, calculation of and quality control.
Application: The main focus is the use of historical data for modern and accurate petrophysical characterization.
Practical Methodology: Through practical exercises, participants apply the rejuvenation techniques.
Description
This course introduces the participant to the analysis and interpretation of special and unconventional logs used in reservoir characterization and operations.
Content: The course covers a wide variety of cased hole and advanced logs, including: GR-Neutron, ECS-Elemental, GR-CCL Cement, PND/TDT-carbon oxygen, PLT-Flowmeter, Dip Logs, Imaging Logs and Nuclear Magnetic Resonance (NMR) Logs.
Application: The objective is to train professionals to apply these advanced methods in integrated reservoir studies.
Practical Methodology: The program combines theoretical foundations with practical exercises to facilitate the application of knowledge.
Description
This course focuses on the use of subsurface maps as an essential tool for the analysis, calculation and interpretation of subsurface geology and the quantification of hydrocarbon reservoirs.
Content: The program highlights the importance of integrating information from wells, geophysical surveys, pressure/temperature measurements and the production history for a complete and accurate view.
Application/Key Topics: Participants will strengthen skills in the interpretation and evaluation of geological and petrophysical data, and learn to represent traps and reservoirs. Objectives include: evaluating data quality, interpreting stratigraphy and structure from maps and geophysical information, and making informed decisions about well placement.
Methodology: Combines theory and practice, with applied exercises in each module, to ensure the application of knowledge in real-life situations.
Description
This course provides the fundamentals for analyzing and interpreting geological and operational data in oil wells, facilitating the identification of production and workover opportunities.
Content: Participants will understand the technical terminology and use geological logs, cores, and reports to make technical decisions during well drilling, completion, and abandonment.
Application/Key Topics: The focus is on developing and interpreting structural sections, stratigraphic sections, and geological maps to select both new wells and candidates for reactivation.
Aimed at: Professionals involved in hydrocarbon exploration and production, such as Geological Engineers, Geologists, Geophysical Engineers, Geological Technicians and Petroleum Engineers in new and mature fields.
Description
This course highlights the fundamental role of the geologist in the petroleum industry, training them to analyze, calculate, and interpret subsurface data in order to support the efficient exploitation of hydrocarbons.
Content: It focuses on the management, coordination and synthesis of information from wells, geophysical surveys and operational data for decision-making during well construction.
Application/Key Topics: Participants will learn to apply drilling geology principles and techniques, prepare geological cross-sections and maps, and suggest well logs to make decisions and optimize operations.
Practical Objective: The objective is to acquire the fundamentals for analyzing and interpreting geological and operational data and making decisions during well construction. It is aimed at professionals involved in hydrocarbon exploration and production.
Description
This course provides participants with an overview and basic skills for interpreting dipmeter data and training image logs.
Content: Key concepts such as selection of recording tools, optimization of data acquisition and the basic principles of interpretation of image recordings are addressed.
Application/Key Topics: Focuses on techniques for structural interpretation, fracture analysis, and in situ stress assessment. structural dip analysis and fracture analysis techniques are applied to interpret geological features of the subsurface.
Methodology: The course emphasizes the integration of well images with core data to achieve a more complete geological characterization.
Description
This course is aimed at petrophysicists, geophysicists, rock physicists, geologists, and petroleum engineers. It provides petroleum industry professionals with the key concepts and tools for the petrophysical characterization of reservoirs using the Petrofacies (Rock Typing) methodology.
Content: The program focuses on the analysis of the geometry of the porous system, the causes of its interconnection, and the definition of flow units. Key topics include: capillary pressure curve analysis, the relationship between porosity, permeability, and water saturation, and pore throat models.
Application: It addresses the best practices for sample selection and the special core analysis by rock type, which is fundamental for accurate characterization.
Methodology: Combines theory and practical exercises for immediate application of the concepts.
Description
This course focuses on establishing the relationships between the petrophysical properties obtained from cores and those estimated from logs, with the aim of performing calibrations and extrapolating models to the rest of the reservoir.
Content: Key properties such as lithofacies, clay quantity and type, porosity, permeability, fluid saturation, and grain density are studied. Logs are used as a propagation medium to define representative models and reduce uncertainty in areas lacking complete information.
Application: The main objective is the integration of core and log data to build robust models that allow for large-scale reservoir characterization and modeling.
Target audience: Log analysts, petrophysicists, geologists, geophysicists and petroleum engineers.
Description
This practical course is designed for log analysts, petrophysicists, geologists, geophysicists, and petroleum engineers. It aims to prepare participants for the optimal use of the Interactive Petrophysics (IP) software for formation evaluation.
Content: The course covers everything from creation and management of projects and databases to curve adjustment and normalization. It also includes the use of advanced options such as Multiwell and 3D Petrophysics, and emphasizes data export and graphing.
Application/Key Topics: The use of tools for well zoning, calculations prior to interpretation, and the generation of models of clay content, porosity, and saturation is taught.
Practical Methodology: practical exercises with pre-established data and parameter sensitivity analysis are performed.
Description
This advanced course is designed to prepare the participant in the optimal use of the advanced modules of the Interactive Petrophysics (IP) program for the evaluation of formations.
Advanced Content: The course delves into mineralogical interpretation (deterministic and probabilistic) and Magnetic Resonance Imaging log analysis. It covers statistical curve prediction using Artificial Intelligence (AI) (such as Cluster Analysis, neural networks, fuzzy logic, etc.) and Monte Carlo uncertainty analysis.
Application/Key Topics: Specialized topics such as rock physics, water saturation modeling, image log analysis and unconventional reservoir evaluation are covered.
Target audience: Log analysts, petrophysicists, geologists, geophysicists, and petroleum engineers. The content is configurable according to the client's needs.
Description
This course is aimed at petroleum engineering or Earth science professionals and offers a comprehensive view of the methodology for generating 3D geological models, highlighting the role of geostatistics in the description and modeling of conventional reservoirs.
Content: Modern workflows for 3D modeling are addressed, emphasizing how the quality of petrophysical and lithological property distribution impacts reservoir development. Key geostatistical concepts such as variograms, estimation techniques (kriging and cokriging), and stochastic simulations (SIS, SGS) are explored.
Application: The objective is to strengthen mathematical skills and provide tools for reservoir characterization and a deep understanding of the modeling process, its advantages and limitations.
Methodology: Combines lectures, practical exercises and case studies with specialized software to build models of structure, facies and properties, applying stochastic simulation techniques.
Description
This workshop introduces the basic concepts and applications of statistical graphics in petrophysics, with a focus on the interpretation and visualization of data in reservoir studies.
Content: The course covers the graphical analysis of core data and laboratory measurements. The power of graphs is used for curve prediction using Artificial Intelligence (AI).
Application/Key Topics: The main objective is the construction of petrophysical models through visual analysis and interpretation of statistical data.
Practical Methodology: Combines theory and practical exercises to facilitate the application of concepts in the visualization of petrophysical data.
Description
This intensive course provides the key knowledge and tools to understand petroleum formation, source rock evaluation, and the role of petrophysics, geochemistry, and rock physics in the exploration and development of unconventional reservoirs (such as shales).
Content: shale evaluation criteria are addressed from a geochemical perspective (oil and gas). This includes methods for evaluating source rocks (richness, quality, and maturity) and concepts such as Total Organic Carbon (TOC), Rock-Eval, vitrinite reflectance, and kerogen types.
Application/Key Topics: The fundamentals of rock physics and mechanics and their importance in production are covered, as well as the optimization of multi-stage hydraulic fracturing processes.
Description
This short, intensive course provides a clear and practical understanding of the workflows, data input, and decision-making frameworks that drive success in petroleum systems analysis.
Content: This course demystifies the fundamentals and connects basin modeling with successful exploration and risk reduction. It provides knowledge for interpreting and modeling the geological evolution of sedimentary basins through the analysis of thermal history, hydrocarbon generation, migration pathways, and preservation processes.
Application/Objectives: The main objective is for participants to gain the confidence and clarity necessary to evaluate the potential of basins. The construction of the Physical, Thermal, and Generative models will be covered, as these are fundamental for informed decision-making in exploration.
Target audience: Geoscientists of all experience levels.
