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Increasing Speed and Accuracy of Automatic Detection of Fault Line Location in Seismic Data

 | Post date: 2020/09/5 | 
Maryam Noori, a graduate of Amirkabir University of Technology and the executor of “automatic detection of fault line in seismic data using fitting Gaussian process”, stated, “Carrying out this survey, we managed to automatically detect fault line location in seismic data more accurately than previous methods.”
She specified, “In fact, we managed to industrialize this project as a student project in cooperation with Iranian National Oil Company. At present we are trying to complete the project by the help of advisors and MSc students so that the result can be completed as a software for automatic extraction of fault line levels. The extracted levels are vital for making hydrocarbon tank models and can extremely help oil engineering including discovery, excavation, and reservoir.
 It is worth saying that Dr. Hossein Hassani, Mine and Metallurgy Depatment, Dr. Abdo-rahim Javaherian, Department of Petroleum Engineering of Amirkabir University of Technology are supervisors of this project and its advisors are Dr. Hamid Reza Amindavar, Department of Electrical Engineering, Dr. Siavash Torabi, PhD graduate of Department of Petroleum Engineering of Amirkabir Uiversity. In addition, Dr. Seyed Ali Moalemi was the industrial advisor of the project.