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 Content
Sparse Nodes and Shallow Water: PS Imaging Challenges on the Alwyn North Field
Sparse Nodes and Shallow Water: PS Imaging Challenges on the Alwyn North Field
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 ...
Measurement and dynamic wavefield correction for time-dependent water velocity changes
Measurement and dynamic wavefield correction for time-dependent water velocity changes
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 ...
Enhanced 3D broadband processing: a case study from the Edvard Grieg field
Enhanced 3D broadband processing: a case study from the Edvard Grieg field
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 ...
Unravel The Oligocene-Miocene Depositional Architectures in The North Madura Platform Using Seismic Stratal Volume
Unravel The Oligocene-Miocene Depositional Architectures in The North Madura Platform Using Seismic Stratal Volume
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 ...
Simultaneous source designature and receiver deghosting in the joint shot-receiver domain
Simultaneous source designature and receiver deghosting in the joint shot-receiver domain
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 ...
Realistic uncertainty quantification in geostatistical seismic reservoir characterization
Realistic uncertainty quantification in geostatistical seismic reservoir characterization
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 ...
Imaging through mega gas clouds in offshore Brunei
Imaging through mega gas clouds in offshore Brunei
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 ...
Recovery of blended data: a sparse coding approach for seismic acquisition
Recovery of blended data: a sparse coding approach for seismic acquisition
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 ...