scholarly journals Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk

Eos ◽  
2005 ◽  
Vol 86 (40) ◽  
pp. 369
Author(s):  
Carl H. Sondergeld
Keyword(s):  
Rock Physics ◽  
Seismic Interpretation

scholarly journals Quantitative seismic interpretation of the Lower Cretaceous reservoirs in the Valdemar Field, Danish North Sea

2021 ◽  
pp. petgeo2021-016
Author(s):  
K. Bredesen ◽  
M. Lorentzen ◽  
L. Nielsen ◽  
K. Mosegaard
Keyword(s):  
Lower Cretaceous ◽  
Water Saturation ◽  
Rock Physics ◽  
Seismic Signal ◽  
Seismic Interpretation ◽  
Reservoir Quality ◽  
Well Log ◽  
Field Development ◽  
Attribute Analysis ◽  
Complex Geology

A quantitative seismic interpretation study is presented for the Lower Cretaceous Tuxen reservoir in the Valdemar Field, which is associated with heterogeneous and complex geology. Our objective is to better outline the reservoir quality variations of the Tuxen reservoir across the Valdemar Field. Seismic pre-stack data and well logs from two appraisal wells forms the basis of this study. The workflow used includes seismic and rock physics forward modelling, attribute analysis, a coloured inversion and a Bayesian pre-stack inversion for litho-fluid classification. Based on log data, the rock physics properties of the Tuxen interval reveals that the seismic signal is more governed by porosity than water saturation changes at near-offset (or small-angle). The coloured and Bayesian inversion results were generally consistent with well-log observations at the reservoir level and conformed to interpreted horizons. Although the available data has some limitations and the geological setting is complex, the results implied more promising reservoir quality in some areas than others. Hence, the results may offer useful information for delineating the best reservoir zones for further field development and selecting appropriate production strategies.

Frequency-dependent seismic analysis: Data processing, modeling, and interpretation

2019 ◽  
Vol 38 (7) ◽  
pp. 556-557
Author(s):  
Yi Shen ◽  
Kui Bao ◽  
Doug Foster ◽  
Dhananjay Kumar ◽  
Kris Innanen ◽  
...  
Keyword(s):  
Model Building ◽  
Seismic Analysis ◽  
Rock Physics ◽  
Analysis Data ◽  
Seismic Interpretation ◽  
Seismic Attenuation ◽  
Frequency Dependent ◽  
University Of Texas ◽  
Q Model ◽  
Physics Modeling

A one-day postconvention workshop held during the 2018 SEG Annual Meeting in Anaheim, California, focused on seismic attenuation model building and compensation through imaging in the morning and on frequency-dependent seismic interpretation and rock physics in the afternoon. The workshop was organized by Dhananjay Kumar (BP), Yi Shen (Shell), Kui Bao (Shell), Mark Chapman (University of Edinburgh), Doug Foster (The University of Texas at Austin), Wenyi Hu (Advanced Geophysical Tech Inc.), and Tieyuan Zhu (Pennsylvania State University). The main topics discussed were: attenuation and Q model building using seismic, vertical seismic profiling, well-log and core data, seismic attenuation compensation, rock-physics modeling, seismic modeling, and frequency-dependent seismic interpretation.

scholarly journals Seismic Interpretation and Inversion Leading to an Accurate Reservoir Characterization in a Carbonate Environment

2021 ◽  
Vol 2 (12) ◽  
pp. 1229-1230
Author(s):  
Yasir Bashir ◽  
Nordiana Mohd Muztaza ◽  
Nur Azwin Ismail ◽  
Ismail Ahmad Abir ◽  
Andy Anderson Bery ◽  
...  
Keyword(s):  
Seismic Data ◽  
Acoustic Impedance ◽  
Reservoir Characterization ◽  
Rock Physics ◽  
Seismic Inversion ◽  
Seismic Interpretation ◽  
And Inversion

Seismic data acquired in the field show the subsurface reflectors or horizon among the geological strata, while the seismic inversion converts this reflector information into the acoustic impedance section which shows the layer properties based on lithology. The research aims to predict the porosity to identify the reservoir which is in between the tight layer. So, the output of the seismic inversion is much more batter than the seismic as it is closer to reality such as geology. Seismic inversion is frequently used to determine rock physics properties, for example, acoustic impedance and porosity.

Quantitative seismic interpretation using inverse rock physics modelling

2015 ◽  
Vol 21 (4) ◽  
pp. 271-284 ◽  
Author(s):  
Kenneth Bredesen ◽  
Erling Hugo Jensen ◽  
Tor Arne Johansen ◽  
Per Avseth
Keyword(s):  
Rock Physics ◽  
Seismic Interpretation

scholarly journals Quantitative seismic interpretation of rock brittleness based on statistical rock physics

Geophysics ◽  
2019 ◽  
Vol 84 (4) ◽  
pp. IM63-IM75 ◽  
Author(s):  
Lin Wang ◽  
Feng Zhang ◽  
Xiang-Yang Li ◽  
Bang-Rang Di ◽  
Lian-Bo Zeng
Keyword(s):  
Random Field ◽  
Markov Random Field ◽  
Rock Physics ◽  
Seismic Interpretation ◽  
Brittleness Index ◽  
Simple Relationship ◽  
Elastic Parameters ◽  
Markov Random ◽  
Rock Brittleness ◽  
Statistical Rock Physics

Rock brittleness is one of the important properties for fracability evaluation, and it can be represented by different physical properties. The mineralogy-based brittleness index (BIM) builds a simple relationship between mineralogy and brittleness, but it may be ambiguous for rocks with a complex microstructure; whereas the elastic moduli-based brittleness index (BIE) is applicable in the field, but BIE interpretation needs to be constrained by lithofacies information. We have developed a new workflow for quantitative seismic interpretation of rock brittleness: Lithofacies are defined by a criterion combining BIM and BIE for comprehensive brittleness evaluation; statistical rock-physics methods are applied for quantitative interpretation by using inverted elastic parameters; acoustic impedance and elastic impedance are selected as the optimized pair of attributes for lithofacies classification. To improve the continuity and accuracy of the interpreted results, a Markov random field is applied in the Bayesian rule as the spatial constraint. A 2D synthetic test demonstrates the feasibility of the Bayesian classification with a Markov random field. This new interpretation framework is also applied to a shale reservoir formation from China. Comparison analysis indicates that brittle shale sections can be efficiently discriminated from ductile shale sections and tight sand sections by using the inverted elastic parameters.

Integration of rock physics and seismic interpretation – An overlooked West African stratigraphic hydrocarbon play

2014 ◽  
Author(s):  
Ken MacAllister* ◽  
Tim Daley ◽  
Mike Bacon ◽  
Simon Tamfu ◽  
Ponce Nguema
Keyword(s):  
Rock Physics ◽  
Seismic Interpretation ◽  
West African
Sign in / Sign up

Export Citation Format

Share Document