Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks M Liu, M Jervis, W Li, P Nivlet Geophysics 85 (4), O47-O58, 2020 | 110 | 2020 |
Systems and methods for forward modeling of well logging tool responses AG Mezzatesta, MA Jervis, DR Beard, KM Strack, LA Tabarovsky US Patent 5,862,513, 1999 | 72 | 1999 |
Prestack migration velocity estimation using nonlinear methods M Jervis, MK Sen, PL Stoffa Geophysics 61 (1), 138-150, 1996 | 64 | 1996 |
Apparatus and method for multi-component wellbore electric field Measurements using capacitive sensors D Colombo, TH Keho, MA Jervis, BW Bouldin US Patent 8,816,689, 2014 | 46 | 2014 |
Evaluating permanent seismic monitoring with shallow buried sensors in a desert environment A Bakulin, R Burnstad, M Jervis, P Kelamis SEG International Exposition and Annual Meeting, SEG-2012-0951, 2012 | 38 | 2012 |
2‐D migration velocity estimation using a genetic algorithm M Jervis, PL Stoffa, MK Sen Geophysical Research Letters 20 (14), 1495-1498, 1993 | 27 | 1993 |
3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network M Liu, W Li, M Jervis, P Nivlet SEG technical program expanded abstracts 2019, 4995-4999, 2019 | 26 | 2019 |
Suitability of vibrators for time-lapse monitoring in the Middle East M Jervis, A Bakulin, R Burnstad, C Berron, E Forgues SEG International Exposition and Annual Meeting, SEG-2012-0948, 2012 | 23 | 2012 |
Near surface changes and 4D seismic repeatability in desert environment: From days to years A Bakulin, R Smith, M Jervis SEG International Exposition and Annual Meeting, SEG-2014-0429, 2014 | 22 | 2014 |
Making time-lapse seismic work in a complex desert environment for CO2 EOR monitoring — Design and acquisition M Jervis, A Bakulin, R Smith The Leading Edge 37 (8), 598-606, 2018 | 21 | 2018 |
Nonlinear inversion of seismograms: State of the art A Tarantola, E Crase, M Jervis, Z Konen, J Lindgren, K Mosegaard, ... SEG Technical Program Expanded Abstracts 1990, 1193-1198, 1990 | 20 | 1990 |
Processing and repeatability of 4D buried receiver data in a desert environment A Bakulin, R Smith, M Jervis, C Saragiotis, E Al-Hemyari, A Alramadhan SEG International Exposition and Annual Meeting, SEG-2016-13849971, 2016 | 19 | 2016 |
Determining bed boundaries from inversion of EM logging data using general measures of model structure and data misfit Z Zhang, RK Chunduru, MA Jervis Geophysics 65 (1), 76-82, 2000 | 19 | 2000 |
Borehole receiver orientation using a 3D velocity model G Menanno, A Vesnaver, M Jervis Geophysical Prospecting 61, 215-230, 2013 | 17 | 2013 |
Edge preserving filtering on 3-D seismic data using complex wavelet transforms M Jervis SEG Technical Program Expanded Abstracts 2006, 2872-2876, 2006 | 17 | 2006 |
A deep learning framework for seismic facies classification H Kaur, N Pham, S Fomel, Z Geng, L Decker, B Gremillion, M Jervis, ... Interpretation 11 (1), T107-T116, 2023 | 13 | 2023 |
Effects of complex near surface on 4D acquisition with buried source and receiver C Berron, E Forgues, A Bakulin, R Burnstad, M Jervis SEG International Exposition and Annual Meeting, SEG-2012-0937, 2012 | 13 | 2012 |
Enhancement of passive microseismic events using seismic interferometry A Al‐Shuhail, SLI Kaka, M Jervis Seismological Research Letters 84 (5), 781-784, 2013 | 12 | 2013 |
Buried sources and receivers in a karsted desert environment C Berron, E Forgues, M Jervis, A Bakulin, R Burnstad 74th EAGE Conference and Exhibition incorporating EUROPEC 2012, cp-293-00791, 2012 | 12 | 2012 |
Method for removing random source and receiver noise from seismic traces JE Anderson, MA Jervis, RG Keys US Patent 5,287,328, 1994 | 12 | 1994 |