Wassenaar, Netherlands

Paul M Zwartjes

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Saudi Arabian Oil Company. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paul M Zwartjes. Retrieved from https://idiyas.com/inventor/paul-m-zwartjes

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 4 

% Patents Active = 50.0

Average Co-Inventor Count = 2.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Wassenaar, NL (2024)
  • Delft, NL (2024)

Company Filing History:


Years Active: 2024-2026

Loading Chart...
4 patents (USPTO):Explore Patents

Title: Paul M Zwartjes: Innovator in Seismic Data Processing

Introduction

Paul M Zwartjes is a notable inventor based in Wassenaar, Netherlands. He has made significant contributions to the field of seismic data processing, holding a total of 4 patents. His work focuses on utilizing advanced machine learning techniques to enhance the quality and efficiency of seismic imaging.

Latest Patents

One of his latest patents is titled "Bandwidth extension via deep neural networks trained on synthetic seismic datasets." This innovative method aims to extend the bandwidth of seismic data by collecting a seismic dataset from a survey and generating multiple synthetic datasets. Each synthetic dataset includes an input seismic dataset with a first bandwidth and an associated target seismic dataset with a broader second bandwidth. The method involves training a machine-learned model to produce an extended bandwidth seismic dataset, which can be used to determine the location of hydrocarbon reservoirs.

Another significant patent is "Method and system for faster seismic imaging using machine learning." This method involves obtaining seismic data regarding a geological region and utilizing a pre-trained machine-learning model to predict migrated seismic data. By selecting training gathers and generating a trained model, Zwartjes' approach allows for the creation of a seismic image of the geological region, enhancing the speed and accuracy of seismic imaging.

Career Highlights

Paul M Zwartjes is currently employed at the Saudi Arabian Oil Company, where he applies his expertise in seismic data processing. His innovative methods have the potential to revolutionize the way seismic data is analyzed and interpreted, leading to more efficient exploration of hydrocarbon resources.

Collaborations

Throughout his career, Zwartjes has collaborated with notable colleagues, including Roald Van Borselen and Rob Hegge. These collaborations have contributed to the advancement of seismic imaging techniques and the application of machine learning in geophysical research.

Conclusion

Paul M Zwartjes is a pioneering inventor whose work in seismic data processing is making a significant impact in the field. His innovative patents and contributions to the Saudi Arabian Oil Company highlight his commitment to advancing technology in seismic imaging.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…