El Kennar, Algeria

Mohammed Boudjatit

USPTO Granted Patents = 9 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Jijel, DZ (2023)
  • El Kennar, DZ (2023 - 2024)

Company Filing History:


Years Active: 2023-2025

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9 patents (USPTO):Explore Patents

Title: Mohammed Boudjatit: Revolutionizing Hydrocarbon Recovery in Unconventional Reservoirs

Introduction:

Meet Mohammed Boudjatit, an inventive mind contributing significantly to the oil and gas industry with his groundbreaking patents. Hailing from El Kennar, Algeria, Boudjatit has an impressive portfolio of five patents, with his latest inventions focusing on the determination of estimated maximum recoverable (EMR) hydrocarbons in unconventional reservoirs and predicting hydrocarbon production rates. Currently, Boudjatit is associated with the prestigious Saudi Arabian Oil Company (commonly known as Saudi Aramco) and collaborates with talented individuals such as Stacey Marie Althaus and Jin-Hong Chen.

Determination of Estimated Maximum Recoverable Hydrocarbons:

One of Boudjatit's recent patents, titled "Determination of Estimated Maximum Recoverable (EMR) Hydrocarbons in Unconventional Reservoirs," presents a novel method for assessing the maximum recoverable hydrocarbon (EMR) in a tight reservoir. The technique involves analyzing downhole logs to determine the total amount of hydrocarbons within the reservoir. Additionally, by considering fluid loss during core surfacing, Boudjatit calculates the non-recoverable measure of hydrocarbon amount within a core sample. By combining these measurements, the EMR can be estimated. Furthermore, this method takes into account the reduction in pore pressure from reservoir to surface conditions during core surfacing.

Determination of Hydrocarbon Production Rates:

Boudjatit's second notable patent, "Determination of Hydrocarbon Production Rates for an Unconventional Hydrocarbon Reservoir," tackles the challenge of predicting hydrocarbon production rates in such reservoirs. To achieve accurate predictions, Boudjatit employs a physics-constrained machine learning model, which incorporates an artificial neural network and a hydrocarbon fluid flow model. The model utilizes reservoir characterization data, well log data, and hydraulic fracturing data to forecast production rates over time. Visual representations of the predicted hydrocarbon production rates are then displayed on a computer screen.

Collaboration and Professional Affiliation:

Boudjatit's innovative work is strongly supported by his talented colleagues, including Stacey Marie Althaus and Jin-Hong Chen. These collaborations contribute to the advancement of research and development in the field of hydrocarbon recovery. Working in close association with top industry experts from renowned organizations like Saudi Aramco, Boudjatit benefits from a rich professional network and access to cutting-edge resources and facilities.

Conclusion:

Mohammed Boudjatit is a remarkable inventor dedicated to enhancing the efficiency and productivity of hydrocarbon recovery, particularly in unconventional reservoirs. His patents on determining estimated maximum recoverable hydrocarbons and predicting hydrocarbon production rates have the potential to transform the oil and gas sector by optimizing hydrocarbon extraction and utilization. Boudjatit's association with Saudi Aramco and his collaborations with noteworthy colleagues highlight his commitment to innovation and the pursuit of groundbreaking solutions in the energy industry.

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