Company Filing History:
Years Active: 2017-2020
Title: The Innovations of Darrell Coles
Introduction
Darrell Coles is an accomplished inventor based in Katy, TX (US). He holds 2 patents that showcase his expertise in seismic data processing and subterranean formation categorization. His work has significantly contributed to advancements in the field of geophysics.
Latest Patents
One of Darrell Coles' latest patents focuses on seismic data processing. This method involves receiving seismic data for a region of interest, which is acquired through a seismic survey. The process determines sparse seismic data by selecting shot points using statistical sampling. Additionally, it simulates seismic data based on an earth model and updates the reflection model using an objective function that represents the mismatch between the sparse and simulated data.
Another notable patent pertains to large survey compressive designs. This invention includes apparatus and methods for categorizing a subterranean formation. It involves collecting data related to the formation and performing an algorithm that utilizes guided Bayesian survey design. The method identifies and collects additional data observations, ensuring that the observations require less processing time than if no algorithm were performed.
Career Highlights
Darrell Coles has worked with prominent companies in the industry, including WesternGeco L.L.P. and Schlumberger Technology Corporation. His experience in these organizations has allowed him to refine his skills and contribute to significant projects in seismic data analysis.
Collaborations
Throughout his career, Darrell has collaborated with notable professionals such as Richard Timothy Coates and Wei Dai. These partnerships have fostered innovation and enhanced the quality of his work.
Conclusion
Darrell Coles is a notable inventor whose contributions to seismic data processing and subterranean formation categorization have made a lasting impact in the field. His patents reflect his commitment to advancing technology and improving data analysis methods.