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Technical Content

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Raphael Sternfels, Anthony Prescott, Geoffroy Pignot, Longzhang Tian, David Le Meur © 2016 EAGE | May

Until now, noise attenuation and interpolation processes based on rank reduction needed spatially regular, or at least binned, data. Here, we show how the low-rank signal model in joint low-rank and sparse inversion (JLRSI), a recently proposed convex optimization framework for simultaneous random plus ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Jonas Rohnke, Gordon Poole © 2016 EAGE | May

Simultaneous shooting increases acquisition efficiency by activating more than one source at the same time. This introduces blending noise that typically needs to be removed before data processing. We present a new deblending algorithm based on iterative annihilation filtering. The strategy attenuates coherent energy ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Jon Downton © 2016 EAGE | May

Remotely detecting information about fractures and the stress field is an important objective in the development of unconventional and tight hydrocarbon reservoirs. Fractures and stress cause the earth to become anisotropic which is seismically observable. By observing the P-wave seismic amplitude variation with offset ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | J. Holden, D. Fritz, O. Bukola, J. Mcleman, R. Refaat, C. Page, J. Brunelliere, S. Sioni, A. Mitra, X. Lu © 2016 EAGE | May

Imaging PS-wave data acquired in the shallow water at Alwyn North with ROV-deployed ocean-bottom nodes presented particular challenges due to the sparsity of the receivers. Having ensured vector fidelity of all recorded wavefields, the processing flow made simultaneous use of the PP and PS ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Robert Zietal, Ross Haacke © 2016 EAGE | May

Changes in water velocity produce significant 4D noise in time-lapse images. To be addressed accurately, the water-velocity problem requires two major ingredients: 1) water velocity must be estimated accurately at all acquisition times and for all shot/receiver locations, 2) time-variable corrections to the data ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Nicolas Salaun, Valerie Brem, Pavel Borisevich, Danny Hardouin, Andrew Wright © 2016 EAGE | May

Data acquired in shallow water environments often exhibit a strong acquisition pattern relating to variations in incidence angle, azimuth and source signature from inner to outer streamers. These variations must be accurately compensated for during processing to reveal a spatially consistent 3D image of ...

Technical Abstract
IPA - Indonesian Petroleum Association | ChungShen Lee, Fithra Harris Darmawan, I Wayan Ardana, Aditya Kusuma Wijaya © 2016 | May

A case study of Oligocene-Miocene sediments in East Java Basin, Indonesia. The work look into the depositional setting and paleogeography of subsurface by removing the struture in 3D seismic. The result have been correlated with regional geology and outcrop analog. The work is done ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Gordon Poole, Simon King, James Cooper © 2016 EAGE | May

The success of any broadband survey is dependent upon the accuracy with which acquisition and environmental factors are compensated for in processing. Such compensation ideally involves directional source designature and deghosting along with receiver deghosting. Traditionally, receiver deghosting is applied in the shot domain ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Ali Moradi Tehrani, Angela Stallone, Raphael Bornard, and Sarah Boudon © 2016 EAGE | May

Making informed field development decisions requires taking uncertainty into account. Geostatistical inversion is a key technology for quantifying uncertainties using available seismic and well data. However, the common practice, consisting of choosing the "best possible" parameters, results in unrealistically small uncertainty estimates. In this ...

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