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Technical Content

Technical Abstract
SEG - Society of Exploration Geophysicists | Adel Khalil, Henning Hoeber, Graham Roberts, Francesco Perrone © 2016 SEG | October

Posing migration as an inverse or a least-squares problem can improve the quality of imaging. This class of techniques can resolve illumination issues and improve focusing. Standard iterative least-squares imaging can be expensive and results are often compromised. We present a procedure using matching ...

Technical Abstract
Workshop/forum/seminar (other) | Christopher Iwobi, Stephen More, Jan Major, Scott Brindle, Iris Verhagen © 2016 | August

An integrated geological and petrophysical workflow was used to evaluate the Jurassic shale plays in southern England. It illustrates how sedimentological and electrofacies interpretations were integrated with QEMSCAN data to significantly improve petrophysical interpretations and TOC estimates from logs using the CARBOLOG method. Reservoir ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Adel Khalil, Henning Hoeber, Bernard Deschizeaux, Mark Ibram, Daniel Davies © 2016 EAGE | June

Traditionally, the regularization step is performed independently for each time-lapse vintage. This disregards any geometrical limitations imposed by different surveys. Here we recast the regularization process as a minimization problem with model-space constraints. These constraints couple geometrical relations between surveys to improve repeatability. We ...

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 ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Nina Lin, Xiaodong Wu, Yi Xie, Joe Zhou, Suni Sulaiman, Joshua Turner, Zhiyuan Wei © 2016 EAGE | May

The size and complexity of the mega gas clouds in offshore Brunei pose severe imaging problems to the structures underneath. We present a comprehensive technical package to tackle the complex wave propagation and anelastic energy losses associated with these gas clouds. We started by ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | M. Guillouet, A. Berthaud, T. Bianchi, G. Pignot, S. Mahrooqi, J. Shorter © 2016 EAGE | May

Deblending procedure for dense land/OBC/OBN acquisition based on sparsity promoted inverse problem. A general formulation for simulatneous source acquisitions is used to recover data from highly blended acqusition. This procedure uses cutting-edge mathematical tools from Compressed Sensing theory like l1-regularized inverse problem in the ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Alireza Roodaki, Guillaume Bouquard, Oualid Bouhdiche, Raphael Sternfels, Anne Rollet, Abderrahim Lafram © 2016 EAGE | May

In this paper, we propose an SVD-based (singular value decomposition) shear noise attenuation method that relies on P to drive the algorithm allowing a good signal preservation on Z. Using a fast SVD kernel, this method is suitable for large datasets. We demonstrate the ...