Houston, TX, United States of America

Nicolay Tanushev


Average Co-Inventor Count = 4.9

ph-index = 3

Forward Citations = 31(Granted Patents)


Company Filing History:


Years Active: 2017-2024

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4 patents (USPTO):Explore Patents

Title: Nicolay Tanushev: Innovator in Seismic Imaging Technologies

Introduction

Nicolay Tanushev is a prominent inventor based in Houston, Texas, known for his contributions to seismic imaging technologies. With a total of four patents to his name, he has made significant advancements in the field of subsurface imaging, particularly in complex geological structures.

Latest Patents

Tanushev's latest patents include innovative systems and methods for beam tomography and diffraction imaging. The beam tomography system allows for the efficient generation of accurate images of subsurface volumes by updating a velocity model through a set of beams derived from input seismic data. This method enhances imaging accuracy, especially in areas with complex geological formations. His diffraction imaging system utilizes specularity gathers to improve seismic processing by computing specularity values at various subsurface locations. This approach enables the generation of diffraction images that effectively differentiate between specular and diffractive event amplitudes.

Career Highlights

Throughout his career, Nicolay Tanushev has worked with notable companies such as Z Terra Inc. and Aramco Services Company. His experience in these organizations has contributed to his expertise in seismic technologies and has facilitated the development of his patented innovations.

Collaborations

Tanushev has collaborated with esteemed colleagues, including Alexander M. Popovici and Ioan Sturzu. These partnerships have likely enriched his work and fostered the exchange of ideas in the field of seismic imaging.

Conclusion

Nicolay Tanushev's contributions to seismic imaging through his innovative patents demonstrate his commitment to advancing technology in this critical area. His work continues to influence the field and improve the accuracy of subsurface imaging techniques.

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