Hilde Grude Borgos

Title: Hilde Grude Borgos: Innovator in Geophysical Deep Learning

Introduction

Hilde Grude Borgos is a prominent inventor based in Hafrsfjord, Norway. She has made significant contributions to the field of geophysics, particularly in the area of deep learning applications. With a total of 4 patents to her name, her work is paving the way for advancements in geophysical data interpretation.

Latest Patents

One of her latest patents is titled "Geophysical Deep Learning." This method involves selecting a type of geophysical data and an algorithm, generating synthetic geophysical data based on the algorithm, and training a deep learning framework to produce interpretation results for acquired geophysical data. Another notable patent is "Analysis of Fracture Networks," which provides a method for analyzing the dynamic behavior of fracture networks in seismic volumes. This method includes identifying and parameterizing fractures within fracture networks and determining distributions of fracture parameters across seismic time-lapse vintages.

Career Highlights

Hilde Grude Borgos is currently associated with Schlumberger Technology Corporation, where she applies her expertise in geophysics and deep learning. Her innovative approaches have garnered attention in the industry, contributing to the advancement of geophysical research and applications.

Collaborations

Hilde has collaborated with notable colleagues, including Lars Sonneland and Michael Hermann Nickel. Their combined efforts in research and development have further enhanced the impact of their work in the geophysical domain.

Conclusion

Hilde Grude Borgos stands out as a leading inventor in the field of geophysics, with her innovative patents and contributions shaping the future of data interpretation. Her work exemplifies the intersection of technology and geoscience, making significant strides in understanding geological environments.