Joel G Starr

Title: The Innovative Contributions of Joel G. Starr

Introduction

Joel G. Starr is a notable inventor based in Richmond, TX (US), recognized for his significant contributions to the field of seismic data processing. With a total of 6 patents, his work has advanced the methodologies used in analyzing seismic data, particularly in the oil and gas industry.

Latest Patents

Among his latest patents, one notable invention is a method for processing dual sensor seismic data to attenuate noise. This method involves processing seismic data from concurrently recorded co-located pressure sensors and geophones. The process begins by determining an upgoing wavefield and a downgoing wavefield in the seismic data. Adaptive subtraction is then applied to these wavefields to effectively remove noise from the signal. In alternative embodiments, either wavefield can serve as a noise model for the other.

Another significant patent by Joel G. Starr is related to amplitude spectra estimation. This method and system utilize up-going and down-going wavefields to estimate amplitude spectra for seismic data. The process includes gathering these wavefields, separating them, and cross-correlating them to obtain an estimate of the amplitude spectra in the frequency domain. This innovative approach enhances the accuracy of seismic data interpretation.

Career Highlights

Throughout his career, Joel G. Starr has worked with prominent companies such as PGS Tensor, Inc. and PGS Exploration (UK) Limited. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in seismic technology.

Collaborations

Joel has collaborated with various professionals in his field, including his coworker John Brittan. These partnerships have fostered an environment of innovation and have led to the development of effective solutions in seismic data processing.

Conclusion

Joel G. Starr's contributions to seismic data processing through his innovative patents have significantly impacted the industry. His work continues to influence the methodologies used in analyzing seismic data, showcasing the importance of innovation in this field.