CBPF Awarded Petrobras Inventor Award 2022

The Laboratory of Artificial Intelligence and Computing of the Brazilian Center for Physics Research (LITCOMP/IA/CBPF) was recognized at the 22nd edition of the Petrobras Inventor Award. The distinction was granted for the patent "Method for Automatic Detection and Characterization of Breakouts from Reservoir Well Images," an advanced technique for signal and image processing.

This technology enhances the analysis of ultrasound and microresistivity images in oil wells, facilitating a more accurate assessment of their technical feasibility. Professor Clécio R. De Bom, who led the research team, highlighted the technique's importance for professionals such as geologists and geophysicists in the evaluation process.

The development of the technique was carried out in collaboration with the Leopoldo Américo Miguez de Mello Research, Development, and Innovation Center (CENPES/PETROBRAS) and involved the participation of prominent technologists and collaborators from CBPF.

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Photo: The image features two representative elements of the 2022 Petrobras Inventor Award: on the left, the award certificate, containing details of the recognition; on the right, the award trophy, specifically designed for this recognition, symbolizing the innovation and excellence achieved by the awarded inventor.

The Inventor Award is an annual initiative by Petrobras to honor the most significant contributors in the field of patented innovations, aiming to maintain the company's innovative leadership in the oil and gas sector.

The CBPF group also benefits from the sci.mind computational infrastructure, which supports advanced image and signal processing with Artificial Intelligence and Deep Learning technologies, maximizing the efficiency and effectiveness of the developed algorithms.

This award underscores CBPF's ongoing commitment to innovation and the practical application of scientific research, strengthening the collaboration between basic and applied research, and contributing significantly to both the productive and academic sectors.