Company Filing History:
Years Active: 2004-2009
Title: Jack Lees: Innovator in Three-Dimensional Volume Data Analysis
Introduction
Jack Lees is a prominent inventor based in Houston, TX (US), known for his contributions to the field of three-dimensional volume data analysis. With a total of 7 patents to his name, Lees has developed innovative systems and methods that enhance the visualization and interpretation of complex data sets.
Latest Patents
One of Lees' latest patents is a system and method for analyzing and imaging three-dimensional volume data sets. This invention provides a unique approach to producing a ribbon section that includes multiple planes projected from a polyline. The polyline consists of line segments formed within a plane, allowing for selective viewing of data at the intersection with the three-dimensional volume data set. Additionally, the invention includes a method for tracking physical phenomena represented within the data set. By successively displaying planes and digitizing points related to the structure of interest, a spline curve is created on each plane. The area between these spline curves is then interpolated to produce a surface representative of the structure, such as a fault plane. This innovative method significantly improves the user's ability to visualize and interpret the inherent features and physical parameters of the data set.
Career Highlights
Throughout his career, Jack Lees has worked with notable companies, including Magic Earth, Inc. and Landmark Graphics Corporation. His experience in these organizations has contributed to his expertise in data analysis and imaging technologies.
Collaborations
Some of his coworkers include Mark Acosta and Yin L Cheung, who have collaborated with him on various projects, further enhancing the innovative work being done in the field.
Conclusion
Jack Lees is a significant figure in the realm of three-dimensional volume data analysis, with a proven track record of innovation and collaboration. His contributions continue to shape the way complex data sets are visualized and interpreted, making a lasting impact in the industry.
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