| A review and appraisal of arrival-time picking methods for downhole microseismic data J Akram, D Eaton GEOPHYSICS 81 (2), KS67–KS87, 2016 | 257 | 2016 |
| A robust neural network-based approach for microseismic event detection J Akram, O Ovcharenko, D Peter SEG International Exposition and Annual Meeting, SEG-2017-17761195, 2017 | 43 | 2017 |
| Refinement of arrival-time picks using a cross-correlation based workflow J Akram, D Eaton Journal of Applied Geophysics 135, 55-66, 2016 | 30 | 2016 |
| Adaptive microseismic event detection and automatic time picking J Akram, D Eaton 2012 CSEG Annual Convention 15, 2012 | 27 | 2012 |
| Automatic P-wave arrival time picking method for seismic and micro-seismic data J Akram CSPG CSEG CWLS Convention, 2011 | 25 | 2011 |
| Automatic seismic phase picking based on unsupervised machine learning classification and content information analysis EV Cano, J Akram, DB Peter Geophysics 86 (4), V299–V315, 2021 | 22 | 2021 |
| Automatic event-detection and time-picking algorithms for downhole microseismic data processing J Akram, DW Eaton, A St Onge 4th EAGE passive seismic workshop, cp-337-00035, 2013 | 22 | 2013 |
| Determining Microseismic Event Locations by Semblance-weighted Stacking D Eaton, J Akram, A St-Onge, F Forouhideh CSPG CSEG CWLS Convention, 2011 | 21 | 2011 |
| An application of waveform denoising for microseismic data using polarizationlinearity and time-frequency thresholding J Akram Geophysical Prospecting 66 (5), 872 - 893, 2018 | 20 | 2018 |
| Rational rock physics for improved velocity prediction and reservoir properties estimation for granite wash (tight sands) in Anadarko Basin, Texas MZA Durrani, K Willson, J Chen, B Tapp, J Akram International Journal of Geophysics 2014 (1), 209351, 2014 | 19 | 2014 |
| Downhole microseismic monitoring: processing, algorithms and error analysis J Akram University of Calgary, 2014 | 19 | 2014 |
| Understanding downhole microseismic data analysis J Akram Springer International Publishing, 2020 | 12 | 2020 |
| Feasibility of moment tensor inversion from a single borehole data using artificial neural networks O Ovcharenko, J Akram, D Peter Search and Discovery, 2018 | 12 | 2018 |
| 1-D layered velocity models and microseismic event locations: Synthetic examples for a case with single linear receiver array J Akram, D Eaton Journal of Geophysics and Engineering, 2017 | 12 | 2017 |
| A k-mean characteristic function for optimizing short- and long-term-average-ratio-based detection of microseismic events J Akram, D Peter, D Eaton Geophysics 84 (4), KS143-KS153, 2019 | 9 | 2019 |
| Impact of velocity model calibration on microseismic locations J Akram, D Eaton SEG Technical Program Expanded Abstracts, 1982-1986, 2013 | 8 | 2013 |
| A robust neural network-based approach for microseismic event detection: 87th Annual International Meeting, SEG, Expanded Abstracts, 2929–2933 J Akram, O Ovcharenko, D Peter Abstract, 2017 | 7 | 2017 |
| A physics-guided neural network-based approach to velocity model calibration for microseismic data H Zhang, J Akram, K Innanen Geophysical Prospecting 70 (4), 737-750, 2022 | 5 | 2022 |
| A k-mean characteristic function to improve STA/LTA detection J Akram, D Peter, D Eaton | 5 | 2018 |
| An Overview of Microseismic Acquisition Project Management J Akram, AS Paes CSEG Recorder 41 (2), 28-32, 2016 | 5 | 2016 |
David W. EatonUniversity of CalgaryAdresse e-mail validée de ucalgary.ca