Company Filing History:
Years Active: 2018
Title: Mehdi Eftekharifar: Innovator in Predictive Modeling for Hydraulic Fracturing
Introduction
Mehdi Eftekharifar is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of predictive modeling, particularly in the context of hydraulic fracturing. His innovative approach combines advanced methodologies to enhance the understanding of subsurface formations.
Latest Patents
Eftekharifar holds a patent titled "Combination model for predicting stiffness coefficients absent Stoneley wave velocity data." This patent introduces a combination model that integrates a velocity regression method (V-reg) with the modified ANNIE model. The model is designed to predict stiffness coefficients in a transversely isotropic medium without relying on Stoneley wave velocity data. The stiffness coefficients derived from this model are crucial for characterizing surrounding formations, which can be applied in hydraulic fracture modeling, stage/perforation design, and well completion operations.
Career Highlights
Mehdi Eftekharifar is currently employed at Halliburton Energy Services, Inc., a leading company in the energy sector. His work focuses on developing innovative solutions that improve the efficiency and effectiveness of hydraulic fracturing operations. With a strong background in engineering and predictive modeling, he has established himself as a valuable asset in his field.
Collaborations
Throughout his career, Eftekharifar has collaborated with esteemed colleagues, including Ming Gu and John Andrew Quirein. These collaborations have fostered a productive environment for innovation and have contributed to the advancement of technologies in the energy sector.
Conclusion
Mehdi Eftekharifar's contributions to predictive modeling in hydraulic fracturing exemplify the impact of innovative thinking in the energy industry. His patent and collaborative efforts highlight the importance of advancing technology to optimize resource extraction processes.