Company Filing History:
Years Active: 2023-2025
Title: Innovations of Muhammad Ashfaq
Introduction
Muhammad Ashfaq is a notable inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of geophysics and petroleum engineering. With a total of 3 patents, his work focuses on enhancing the understanding of subsurface geology and improving the quality of well data.
Latest Patents
One of his latest patents is titled "Thermal conductivity mapping from rock physics guided seismic inversion." This invention involves modeling basin geology in a subsurface region by receiving seismic data and potential fields data. It determines the relationship between these data sets to generate a three-dimensional map of thermal conductivity in the subsurface. This map aids in identifying areas with source rock that have a threshold maturity, indicating potential hydrocarbons.
Another significant patent is "Using elastic facies to perform quality control of well logs." This method provides a systematic approach to log quality control on well data from non-key wells. It includes selecting key wells, building a reference model of elastic facies, and calibrating the well data of non-key wells against this model. This process ensures the accuracy and reliability of well data.
Career Highlights
Muhammad Ashfaq is currently employed at the Saudi Arabian Oil Company, where he applies his expertise in geophysics and engineering. His innovative approaches have contributed to advancements in the oil and gas industry, particularly in subsurface exploration and analysis.
Collaborations
He has collaborated with notable colleagues such as Husam M AlMustafa and Rudi Lubbe, enhancing the impact of his work through teamwork and shared expertise.
Conclusion
Muhammad Ashfaq's contributions to the field of geophysics through his patents and work at the Saudi Arabian Oil Company highlight his role as an influential inventor. His innovative methods continue to advance the understanding of subsurface geology and improve the quality of well data.