Petrobras Invests R$151 Million in Libra Rocks Geological Project

Key highlights
  • Petrobras and partners invest R$151 million in the Libra Rocks project.
  • The project spans four years, focusing on AI and geological models.
  • Libra Rocks involves collaboration with three Brazilian universities.
  • The initiative studies carbonate rocks, CO₂ entry, and oil load timing.

Investment and Collaboration

Petrobras and the Libra Consortium are investing R$151 million in the Libra Rocks project, focusing on innovative technologies and geological models for the Mero field in the Santos Basin pre-salt area. The project involves strategic partnerships with the University of Brasília, the Federal University of Paraná, and the Pontifical Catholic University of Rio Grande do Sul.

Project Goals

Libra Rocks aims to reduce uncertainties in production, enhance reservoir management, and optimize new well locations. It will also improve understanding of CO₂ entry timing and oil load in reservoirs, potentially increasing the recovery factor.

Technological Innovations

The project will utilize artificial intelligence to develop algorithms for automating geological data processing. This technology will create detailed conceptual models of carbonate rocks and explore new analysis methods. High-precision equipment and modern techniques will enable detailed analyses and reliable results.

Geological Studies

The initiative will study the origin, composition, structure, and transformation of rocks, focusing on pore distribution and permeability. It will also explore the geological evolution related to the South Atlantic's opening, resulting from the separation between Brazil and Africa.

Digital Rock and Research Impact

A key innovation is the "Digital Rock," using high-resolution images to create 3D replicas of rock samples, enhancing reservoir rock characterization. The project will involve over 150 people from partner universities and award over 90 scholarships, contributing to Brazil's technological advancement and interdisciplinary research in geosciences and AI.