This inventor holds 1 USPTO granted patent. Top assignee: Institut Francais Du Pe'trole. Active years: 2003.
Company Filing History:
Years Active: 2003
Title: Michel Cuer: Innovator in Subsurface Modeling
Introduction
Michel Cuer is a notable inventor based in Montpellier, France. He has made significant contributions to the field of subsurface modeling, particularly in the characterization of heterogeneous media. His innovative approach has implications for various applications, including hydrocarbon reservoir characterization.
Latest Patents
Michel Cuer holds a patent for a method that enables 2D or 3D modeling of a heterogeneous medium described by multiple physical parameters. This method allows for the creation of a representative model of the subsoil, utilizing various data inputs. The patent, which is titled "Method for 2D or 3D modelling of a heterogeneous medium such as the subsoil described by one or more physical parameters," focuses on improving initial models by minimizing a global cost function. This function accounts for the differences between synthetic records and actual seismic records, as well as the discrepancies between the current model and the a priori model. The invention is particularly useful for the characterization of hydrocarbon reservoirs.
Career Highlights
Michel Cuer is associated with the Institut Français du Pétrole, where he applies his expertise in subsurface modeling. His work has contributed to advancements in understanding the physical parameters of the subsoil, which is crucial for various geological and engineering applications.
Collaborations
Throughout his career, Michel has collaborated with esteemed colleagues such as Thierry Tonellot and Danièle Mace-Prieur. These collaborations have further enriched his research and development efforts in the field of subsurface modeling.
Conclusion
Michel Cuer's innovative methods in subsurface modeling represent a significant advancement in the field. His contributions are vital for the characterization of hydrocarbon reservoirs and demonstrate the importance of integrating various data sources for improved modeling accuracy.
