Sugar Land, TX, United States of America

Ettore Mirto

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.5

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2019-2022

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Ettore Mirto: Innovator in Geological Interpretation and Artificial Intelligence

Introduction

Ettore Mirto is a prominent inventor based in Sugar Land, TX (US), known for his contributions to the field of geological interpretation using artificial intelligence. With a total of 3 patents, he has made significant strides in enhancing drilling methods and analysis techniques.

Latest Patents

One of his latest patents focuses on geological interpretation with artificial intelligence. This innovative method for drilling involves obtaining formation-measurement pairings, training a machine-learning model with these pairings, and generating a formation model that represents various physical and structural parameters of the formation. Another notable patent addresses methods and systems for analyzing bed boundary detection. This patent includes generating an error distribution model for a logging tool and defining a detection threshold to ensure the reliability of measured signals.

Career Highlights

Ettore Mirto is currently employed at Schlumberger Technology Corporation, where he applies his expertise in artificial intelligence and geological interpretation. His work has contributed to advancements in drilling technologies and the analysis of geological formations.

Collaborations

Throughout his career, Ettore has collaborated with notable colleagues, including Helen Xiaoyan Zhong and Qingfeng Zhu. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Ettore Mirto's innovative work in geological interpretation and artificial intelligence has positioned him as a key figure in the industry. His patents reflect a commitment to advancing drilling methods and enhancing the understanding of geological formations.

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