Integrated Property and Fracture Modeling Using 2D Seismic Data: Application to a Cambrian Field in Algeria

2007 ◽  
Author(s):  
Ahmed Ouenes ◽  
Gary Charles Robinson ◽  
Mahieddine Touami ◽  
Abdelkader Boufrioua ◽  
Essaid Mouhouche ◽  
...  
Keyword(s):  
Seismic Data ◽  
Data Application ◽  
Fracture Modeling

Matching of Production History and 4D Seismic Data--Application to the Girassol Field, Offshore Angola

2007 ◽  
Author(s):  
Frederic Roggero ◽  
Didier Yu Ding ◽  
Philippe Berthet ◽  
Olivier Lerat ◽  
Julien Cap ◽  
...  
Keyword(s):  
Seismic Data ◽  
Data Application ◽  
Production History ◽  
4D Seismic

Mineralogy-based brittleness prediction from surface seismic data: Application to the Barnett Shale

2014 ◽  
Vol 2 (4) ◽  
pp. T255-T271 ◽  
Author(s):  
Roderick Perez Altamar ◽  
Kurt Marfurt
Keyword(s):  
Seismic Data ◽  
Seismic Inversion ◽  
Barnett Shale ◽  
Elastic Parameters ◽  
Well Location ◽  
Data Application ◽  
Empirical Calibration ◽  
Two Measures ◽  
Prestack Seismic Inversion ◽  
Microseismic Event

Differentiating brittle and ductile rocks from surface seismic data is the key to efficient well location and completion. Brittleness average estimates based only on elastic parameters are easy to use but require empirical calibration. In contrast, brittleness index (BI) estimates are based on mineralogy laboratory measurements and, indeed, cannot be directly measured from surface seismic data. These two measures correlate reasonably well in the quartz-rich Barnett Shale, but they provide conflicting estimates of brittleness in the calcite-rich Viola, Forestburg, Upper Barnett, and Marble Falls limestone formations. Specifically, the BI accurately predicts limestone formations that form fracture barriers to be ductile, whereas the brittleness average does not. We used elemental capture spectroscopy and elastic logs measured in the same cored well to design a 2D [Formula: see text] to brittleness template. We computed [Formula: see text] and [Formula: see text] volumes through prestack seismic inversion and calibrate the results with the [Formula: see text] template from well logs. We then used microseismic event locations from six wells to calibrate our prediction, showing that most of the microseismic events occur in the brittle regions of the shale, avoiding more ductile shale layers and the ductile limestone fracture barriers. Our [Formula: see text] to brittleness template is empirical and incorporates basin- and perhaps even survey-specific correlations of mineralogy and elastic parameters through sedimentation, oxygenation, and diagenesis. We do not expect this specific template to be universally applicable in other mudstone rock basins; rather, we recommend interpreters generate similar site-specific templates from logs representative of their area, following the proposed workflow.

Diffraction images and their attributes based on asymmetric summation: real data application

2020 ◽  
Author(s):  
Maxim I. Protasov ◽  
◽  
Vladimir A. Tcheverda ◽  
Valery V. Shilikov ◽  
◽  
...  
Keyword(s):  
Seismic Data ◽  
Real Data ◽  
Data Sets ◽  
Data Application ◽  
Diffraction Imaging

The paper deals with a 3D diffraction imaging with the subsequent diffraction attribute calculation. The imaging is based on an asymmetric summation of seismic data and provides three diffraction attributes: structural diffraction attribute, point diffraction attribute, an azimuth of structural diffraction. These attributes provide differentiating fractured and cavernous objects and to determine the fractures orientations. Approbation of the approach was provided on several real data sets.

Methodological proposal of risk analysis in the quality control of seismic data - Application in the Amazon Basin

2015 ◽  
Author(s):  
Ana Luiza de Oliveira Salomé Abreu ◽  
Manuelle Santos Góis ◽  
José Nilson Pereira Silva
Keyword(s):  
Quality Control ◽  
Risk Analysis ◽  
Seismic Data ◽  
Amazon Basin ◽  
Data Application

Crustal structure from onshore-offshore wide-angle seismic data: Application to Northern Sulu Orogen and its adjacent area

2019 ◽  
Vol 770 ◽  
pp. 228220 ◽  
Author(s):  
Weina Zhao ◽  
Huigang Wang ◽  
Hongcai Shi ◽  
Hui Xie ◽  
Zhiqiang Wu ◽  
...  
Keyword(s):  
Crustal Structure ◽  
Seismic Data ◽  
Adjacent Area ◽  
Wide Angle ◽  
Data Application

Simultaneous assimilation of production and seismic data: application to the Norne field

2019 ◽  
Vol 24 (2) ◽  
pp. 907-920 ◽  
Author(s):  
Rolf J. Lorentzen ◽  
Tuhin Bhakta ◽  
Dario Grana ◽  
Xiaodong Luo ◽  
Randi Valestrand ◽  
...  
Keyword(s):  
Seismic Data ◽  
Data Application
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