Order Article Reprints

Ashraf U, Zhang H, Anees A, Nasir Mangi H, Ali M, Ullah Z, Zhang X. Application of Unconventional Seismic Attributes and Unsupervised Machine Learning for the Identification of Fault and Fracture Network. Applied Sciences. 2020; 10(11):3864. https://doi.org/10.3390/app10113864

Ashraf, Umar, Hucai Zhang, Aqsa Anees, Hassan Nasir Mangi, Muhammad Ali, Zaheen Ullah, and Xiaonan Zhang. 2020. "Application of Unconventional Seismic Attributes and Unsupervised Machine Learning for the Identification of Fault and Fracture Network" Applied Sciences 10, no. 11: 3864. https://doi.org/10.3390/app10113864

Ashraf, U., Zhang, H., Anees, A., Nasir Mangi, H., Ali, M., Ullah, Z., & Zhang, X. (2020). Application of Unconventional Seismic Attributes and Unsupervised Machine Learning for the Identification of Fault and Fracture Network. Applied Sciences, 10(11), 3864. https://doi.org/10.3390/app10113864