Robello Samuel

Cypress, TX, United States of America

Robello Samuel

Average Co-Inventor Count = 2.0

ph-index = 8

Forward Citations = 263(Granted Patents)

Forward Citations (Not Self Cited) = 211(Sep 21, 2024)

DiyaCoin DiyaCoin 0.99 

Inventors with similar research interests:


Location History:

  • Houston, TX (US) (2006 - 2021)
  • Cypress, TX (US) (2014 - 2024)


Years Active: 2006-2025

where 'Filed Patents' based on already Granted Patents

117 patents (USPTO):
67 patents (CIPO):

Title: Robello Samuel - Innovator in Drilling Optimization and Wellbore Operations

Introduction:

Robello Samuel, a seasoned inventor based in Cypress, TX, has made significant contributions to the field of drilling optimization and wellbore operations. With an impressive portfolio of 102 patents, Samuel has been at the forefront of utilizing cutting-edge technologies, such as machine learning and data generation models, to enhance drilling efficiency. In this article, we will explore Samuel's latest patents, career highlights, and notable collaborations.

Latest Patents:

One of Samuel's recent patents is titled "Rate of Penetration Optimization for Wellbores Using Machine Learning." This patent describes a system and method for controlling a drilling tool inside a wellbore by projecting optimal rates of penetration (ROP) and controllable parameters such as weight-on-bit (WOB) and rotations-per-minute (RPM). The system employs data generation models, including non-linear, linear, recurrent generative adversarial network (RGAN), and deep neural network models, to predict and optimize drilling parameters. By combining synthesized data with real-time data, the drilling tool's performance can be steered effectively.

Another notable patent is for a "Trip Map for Adjusting a Tripping Operation in a Wellbore." This system generates a trip map based on input data from a downhole tool, which determines parameter values for the tripping operation. The system evaluates the overall condition of the wellbore interval and compares it to optimized values. The output trip map includes a background shape representing the overall condition, with a polygon positioned on it to reflect the parameter values. This innovative approach enables adjustments to the tripping operation for improved efficiency.

Career Highlights:

Throughout his career, Samuel has excelled in his roles at prominent companies in the industry. He has contributed significantly to the Oil and Gas sector during his tenure at Landmark Graphics Corporation, a leading provider of software and services for the upstream oil and gas industry. Moreover, Samuel's expertise has also been harnessed by Halliburton Energy Services, Inc., a renowned multinational corporation specializing in oilfield services and equipment. His contributions have focused on driving advancements in drilling optimization and wellbore operations, enhancing productivity and minimizing operational costs.

Collaborations:

Samuel has had the privilege of collaborating with exceptional professionals in his field. Among his coworkers are Aniket and Adolfo Gonzales, who have undoubtedly contributed to the success and breakthrough inventions achieved by Samuel and his team. These collaborations have enriched the exchange of knowledge and innovative ideas, fostering a dynamic environment for groundbreaking research and development.

Conclusion:

Robello Samuel's expansive patent portfolio and groundbreaking innovations highlight his commitment to driving progress in drilling optimization and wellbore operations. His application of machine learning and data generation models in the field has revolutionized industry practices and enhanced operational efficiencies. Samuel's contributions have been widespread across renowned companies like Landmark Graphics Corporation and Halliburton Energy Services, Inc., where he has collaborated with outstanding peers. As the industry continues to evolve, Samuel's inventions and expertise will undoubtedly leave a lasting impact on the field of drilling optimization.

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