First Prev Record 1 - 4 of 4 Next Last

Publications:

Udegbe, E., E. Morgan, and S. Srinivasan, (2019). Big data analytics for seismic fracture identification using amplitude-based statistics, Computational Geosciences, v. 23 (6), pp. 1277-1291, https://doi.org/10.1007/s10596-019-09890-z.
Udegbe, E., E. Morgan, and S. Srinivasan, (2019). Big-Data Analytics for Production-Data Classification Using Feature Detection: Application to Restimulation - Candidate Selection, SPE Reservoir Evaluation & Engineering, v. 22 (02), pp. 364–385, https://doi.org/10.2118/187328-PA.
Udegbe, E., E. Morgan, and S. Srinivasan, (2018). Big data analytics for seismic fracture identification, using amplitude-based statistics, SPE Annual Technical Conference and Exhibition 2018 Proceedings, ATCE 2018, [SPE-191668-MS], https://doi.org/10.2118/191668-ms.
Udegbe, E., E. Morgan, and S. Srinivasan, (2013). From Face Detection to Fractured Reservoir Characterization: Big Data Analytics for Restimulation Candidate Selection, SPE Annual Technical Conference and Exhibition 2013 Proceedings, San Antonio, [SPE 187-328-MS].