Data Science
We offer comprehensive data science and management solutions for the energy sector. We use Artificial Intelligence to organize, cleanse, and optimize information on reservoirs and wells, thereby facilitating digital transformation and improving strategic decision-making.
Course Catalog:
Description
Evolution/Content: The differences between work and corporate databases are addressed, including key administrative aspects (responsibilities, workflows, privileges, Unique Well Identifier). The content includes database fundamentals, data quality and dimensions, digital formats in E&P, inventory, record certification, and well database rejuvenation.
Content: The course addresses the differences between working and corporate databases, including key administrative aspects (responsibilities, workflows, privileges, Unique Well Identifier). The content includes database fundamentals, data quality and dimensions, digital formats in E&P, inventory, record certification, and well database rejuvenation.
Application/Key Topics: Participants will learn to analyze and characterize the types of data to be stored, grouped into four main families: rock samples, well logs, production data, and previous reports/studies. best practices for transforming analog data into digital data, maximizing quality, will be presented.
Practical Methodology: Includes practical exercises and tasks to apply what has been learned in reservoir characterization, log evaluation, and database management for integrated projects. It is aimed at geologists, petrophysicists, log analysts, and data management professionals.







