MANAGEMENT
Consulting and Training in Management of the Energy and Finance Industry.
We offer specialized management consulting and training in the energy sector. Through practical methodologies and real-world case studies (such as decision-making workshops), we enhance key competencies in leadership, team management, and process optimization to solve complex organizational challenges.
Course Catalog:
Description
In the context of high uncertainty and complexity of the oil sector, this intensive course trains participants in the use of multi-criteria methodologies for technical, operational and strategic decision-making.
Content: The importance of considering environmental, social, technical, and risk factors, in addition to financial criteria, is emphasized. Structured methodologies such as AHP, TOPSIS, ELECTRE, and SAW are taught to transform complex decisions into clear and collaborative processes.
Application: The objective is to eliminate improvisation and provide a rational basis for improving the quality of decisions. Participants will learn to apply these methodologies to project prioritization, resource allocation, portfolio optimization, selection of wells for repair, suppliers, personnel, and software.
Practical Methodology: The course-workshop is eminently practical, with analysis of real cases, exercises in Excel and participatory workshops, facilitating collaboration and adaptation to the challenges of the sector.
Description
This course addresses the concepts, methodologies and workflows for designing Oil Field Development Plans (OFPs), considering the impact of reservoir uncertainties on decision-making.
Content: Emphasis is placed on the Front-End Loading (FEL) methodology and the optimization of decision scenarios, highlighting the importance of early planning. Current challenges in FDP design are analyzed, such as reservoir complexity and the integration of systems (subsurface to surface).
Application/Key Topics: Participants will learn to identify best practices, assess risks, conduct uncertainty analysis and apply fundamentals of project economics.
Methodology: This course combines lectures, workshops, practical exercises, case studies, and the use of software, promoting applied learning. It is aimed at engineering and science professionals with knowledge of reservoir engineering, enhanced oil recovery, surface facilities, and project economics.
Description
This course addresses the fundamental concepts and tools for conducting economic evaluations of oil projects under uncertainty and risk.
Content: The course covers the analysis of price volatility (oil and gas) and cost uncertainty. It addresses the financial aspects of E&P, including cash flows, inflation, discount rates and the calculation of key economic indicators such as NPV, IRR, PI, and payback period.
Application/Key Topics: A module is dedicated to uncertainty and risk analysis (identification of critical variables, Monte Carlo simulation, and decision trees). types of oil contracts and tax systems are also studied. portfolio theory and scenario optimization are introduced.
Practical Methodology: Combines lectures, workshops, practical exercises, and case studies with real-world examples to understand the advantages and disadvantages of the models. It is aimed at professionals responsible for economic evaluations and decision-making in upstream.
Description
This intensive course provides a comprehensive overview of Integrated Reservoir Management (IRM) methodology, focusing on the processes and tools to optimize production and maximize the recovery factor in oil and gas fields.
Content: Topics covered include: reservoir monitoring, data acquisition, enhanced recovery processes, opportunity identification, and the transition from laboratory to field implementation. selection and implementation of IOR/EOR processes, improving sweep efficiency, risk management, and the use of digital technologies (Digital Oil Fields) are also covered.
Application/Key Topics: The importance of characterization and continuous monitoring, the use of integrated asset models, the definition of key performance indicators (KPIs), and the quality of simulation models for decision-making are analyzed.
Practical Methodology: Through case studies and practical exercises, the benefits of IRM are analyzed. It is aimed at reservoir engineers, geologists, asset managers, and professionals involved in field management.
