Daniel Barker

Name:	Daniel Barker
Title:	Seniorforsker / Senior Research Scientist
Phone:	(+47) 22852565 Mob: 40225639
Email:	barker [at] nr [dot] no
Scientific areas:	Seismic inversion, Petroleum exploration, Software development
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Academic journal articles

2014

Barker, Daniel Martin L; Landrø, Martin. An alternative method for modeling close-range interactions between air guns. Geophysics (ISSN 0016-8033). 79(2) pp 1-7. doi: 10.1190/geo2013-0141.1. 2014.

2013

Barker, Daniel Martin L; Landrø, Martin. Modeling close range air gun interactions using isosurfaces of the velocity potential. Society of Exploration Geophysicists. Expanded Abstracts with Biographies (ISSN 1052-3812). pp 46-50. doi: 10.1190/segam2013-0489.1. 2013.

Barker, Daniel Martin L; Landrø, Martin. Estimation of bubble time period for air-gun clusters using potential isosurfaces. Geophysics (ISSN 0016-8033). 78(4) pp P1. doi: 10.1190/GEO2012-0344.1. 2013.

2012

Barker, Daniel Martin L; Landrø, Martin. Controlled source strength variation by changing the firing pressure - a sensitivity study for 4D calibration. Geophysical Prospecting (ISSN 0016-8025). 60(3) pp 480-487. doi: 10.1111/j.1365-2478.2011.01044.x. 2012.

Barker, Daniel Martin L; Landrø, Martin. Simple expression for the bubble-time period of two clustered air guns. Geophysics (ISSN 0016-8033). 77(1) pp A1. doi: 10.1190/GEO2011-0169.1. 2012.

2011

Landrø, Martin; Amundsen, Lasse; Barker, Daniel Martin L. High-frequency signals from air-gun arrays. Geophysics (ISSN 0016-8033). 76(4) pp Q19. doi: 10.1190/1.3590215. 2011.

Academic chapters

2018

Abrahamsen, Petter; Kvernelv, Vegard Berg; Barker, Daniel Martin L. Simulation of Gaussian Random Fields Using the Fast Fourier Transform (FFT). In: ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery, 3–6 September 2018, Barcelona, Spain. (ISBN 978-94-6282-260-3). doi: 10.3997/2214-4609.201802134. 2018.

2009

Barker, Daniel Martin L; Landrø, Martin. Controlled Source Strength Variation by Changing the Firing Pressure - A Sensitivity Study for 4D Calibration. In: 71st EAGE Conference & Exhibition Amsterdam 2009. (ISBN 978-90-73781-67-2). 2009.

Reports

2019

Eikvil, Line; Waldeland, Anders U.; Holden, Marit; Salberg, Arnt Børre; Hauge, Ragnar; Barker, Daniel Martin L. Deep learning in seismic interpretation. Norsk Regnesentral, . NR-notat SAMBA/49/19. pp 39. 2019.

Røe, Per; Hauge, Ragnar; Aker, Eyvind; Barker, Daniel Martin L; Nilsen, Carl-Inge Colombo; Sanchis, Charlotte Juliette; Kjønsberg, Heidi; Abrahamsen, Petter. GIG annual meeting 2019 - Summary of 2018 and planned work for 2019. Norsk Regnesentral, Oslo. NR-notat SAND/01/19. pp 27. 2019.

Sanchis, Charlotte Juliette; Nilsen, Carl-Inge Colombo; Barker, Daniel Martin L. Deep learning for seismic processing and condition monitoring. Norsk Regnesentral, . NR-notat SAND/05/2019. pp 13. 2019.

2018

Aker, Eyvind; Barker, Daniel Martin L. User Manual: Rock Physics Prior Modelling GUI. Norsk Regnesentral, . NR-notat SAND/13/18. pp 18. 2018.

Kvernelv, Vegard Berg; Barker, Daniel Martin L; Abrahamsen, Petter. Simulation of Gaussian Random Fields Using the Fast Fourier Transform. Norsk Regnesentral, . NR-notat SAND/04/18. pp 33. 2018.

Røe, Per; Aker, Eyvind; Rummelhoff, Ivar; Hauge, Ragnar; Kjønsberg, Heidi; Barker, Daniel Martin L; Sanchis, Charlotte Juliette. This is a user manual for PCube. PCube is a seismic inversion software that computes lithology and fluid probabilities from seismic AVO data. Norsk Regnesentral, Oslo, Norge. NR-notat SAND/05/18. pp 72. 2018.

2017

Aker, Eyvind; Barker, Daniel Martin L. User Manual: Rock Physics Prior Modelling GUI. Norsk Regnesentral, Oslo. NR-notat SAND/12/17. pp 16. 2017.

Barker, Daniel Martin L. PCube+ Forward Modelling QC User Manual. Norsk Regnesentral, Oslo. NR-notat SAND/06/2017. pp 10. 2017.