Cambridge, MA, United States of America

Maja Skataric


 

Average Co-Inventor Count = 4.9

ph-index = 2

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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4 patents (USPTO):Explore Patents

Title: Maja Skataric: Innovator in Cement Integrity Analysis

Introduction

Maja Skataric is a prominent inventor based in Cambridge, MA (US). She has made significant contributions to the field of cement integrity analysis, particularly in the context of multiple-cased wells. With a total of four patents to her name, her work is at the intersection of engineering and machine learning.

Latest Patents

Maja's latest patents focus on methods of analyzing cement integrity in annuli of a multiple-cased well using machine learning. In her innovative approach, a sonic tool is activated in a well that has multiple casings and annuli surrounding the casing. The detected data is preprocessed using slowness time coherence (STC) processing to obtain STC data. This STC data is then provided to a machine learning module that has been trained on labeled STC data. The machine learning module produces an answer product regarding the states of the borehole annuli, which can be used to make decisions regarding remedial actions concerning the borehole casings. The machine learning module may implement advanced techniques such as convolutional neural networks (CNN), support vector machines (SVM), or auto-encoders.

Career Highlights

Throughout her career, Maja has worked with leading companies in the industry, including Schlumberger Technology Corporation and Services Pétroliers Schlumberger. Her experience in these organizations has allowed her to develop and refine her innovative techniques in cement integrity analysis.

Collaborations

Maja has collaborated with notable professionals in her field, including Sandip Bose and Smaine Zeroug. These collaborations have further enriched her work and contributed to the advancement of technology in cement integrity analysis.

Conclusion

Maja Skataric is a trailblazer in the field of cement integrity analysis, utilizing machine learning to enhance the safety and efficiency of multiple-cased wells. Her innovative patents and collaborations reflect her commitment to advancing engineering practices.

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