Houston, TX, United States of America

Anisha Kaul

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Anisha Kaul: Innovator in Seismic Interpretation Technologies

Introduction

Anisha Kaul is a prominent inventor based in Houston, TX (US), known for her contributions to seismic interpretation technologies. With a focus on machine learning applications in geophysics, she has developed innovative methods that enhance the understanding of subsurface geological structures. Anisha holds 2 patents that reflect her expertise and commitment to advancing the field.

Latest Patents

Anisha's latest patents include "Automatic salt geometry detection in a subsurface volume" and "Cascaded machine-learning workflow for salt seismic interpretation." The first patent describes a method that involves receiving seismic data and an initial velocity model, generating a first seismic image, and training a machine learning model to predict salt masks. This process culminates in the creation of a modified velocity model that improves the accuracy of seismic imaging. The second patent outlines a method for determining the top of salt (TOS) surface in a seismic volume, utilizing a binary mask and sampling seismic data to enhance the interpretation of geological features.

Career Highlights

Anisha has worked with notable companies in the industry, including Schlumberger Technology Corporation and Services Petroliers Schlumberger. Her experience in these organizations has allowed her to apply her innovative ideas in practical settings, contributing to advancements in seismic interpretation.

Collaborations

Anisha has collaborated with talented professionals such as Cen Li and Hiren Maniar, further enriching her work through shared expertise and insights.

Conclusion

Anisha Kaul's contributions to seismic interpretation through her innovative patents and collaborative efforts highlight her significant role in the field. Her work continues to influence the way geophysicists understand subsurface structures, paving the way for future advancements.

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