Applications of deterministic and stochastic rock physics modeling to anisotropic velocity model building

2010 ◽  
Author(s):  
Ran Bachrach
Keyword(s):  
Model Building ◽  
Rock Physics ◽  
Velocity Model ◽  
Velocity Model Building ◽  
Rock Physics Modeling ◽  
Physics Modeling

Integrated VTI model building with seismic data, geologic information, and rock-physics modeling — Part 2: Field data test

Geophysics ◽  
2016 ◽  
Vol 81 (5) ◽  
pp. C205-C218 ◽  
Author(s):  
Yunyue Li ◽  
Biondo Biondi ◽  
Robert Clapp ◽  
Dave Nichols
Keyword(s):  
Seismic Data ◽  
Model Building ◽  
Structural Information ◽  
Rock Physics ◽  
Velocity Model ◽  
Seismic Inversion ◽  
Well Logs ◽  
Velocity Model Building ◽  
Rock Physics Modeling ◽  
Physics Modeling

Velocity model building is the first step of seismic inversion and the foundation of the subsequent processing and interpretation workflow. Velocity model building from surface seismic data only becomes severely underdetermined and nonunique when more than one parameter is needed to characterize the velocity anisotropy. The traditional seismic processing workflow sequentially performs seismic velocity model building, structural imaging/interpretation, and lithologic inversion, modifying the subsurface model in each step without verifications against the previously used data. We have developed an integrated model building scheme that uses all available information: seismic data, geologic structural information, well logs, and rock-physics knowledge. We have evaluated the accuracy of the anisotropic model in the image space, in which structural information is estimated. The lithologic inversion results from well logs and the dynamic seismic information (amplitude versus angle) are also fed back to the kinematic seismic inversion via a cross-parameter covariance matrix, which is a multivariate Gaussian approximation to the numerical distribution modeled from stochastic rock-physics modeling. The procedure of building the rock-physics prior information and the improvements using these extra constraints were tested on a Gulf of Mexico data set. The inverted vertical transverse isotropic model not only better focused the seismic image, but it also satisfied the geologic and rock-physics principles.

Integrated VTI model building with seismic data, geologic information, and rock-physics modeling — Part 1: Theory and synthetic test

Geophysics ◽  
2016 ◽  
Vol 81 (5) ◽  
pp. C177-C191 ◽  
Author(s):  
Yunyue Li ◽  
Biondo Biondi ◽  
Robert Clapp ◽  
Dave Nichols
Keyword(s):  
Seismic Data ◽  
Seismic Anisotropy ◽  
Model Building ◽  
Rock Physics ◽  
Seismic Inversion ◽  
Additional Information ◽  
Synthetic Test ◽  
Rock Physics Modeling ◽  
Physics Modeling ◽  
Geologic Information

Seismic anisotropy plays an important role in structural imaging and lithologic interpretation. However, anisotropic model building is a challenging underdetermined inverse problem. It is well-understood that single component pressure wave seismic data recorded on the upper surface are insufficient to resolve a unique solution for velocity and anisotropy parameters. To overcome the limitations of seismic data, we have developed an integrated model building scheme based on Bayesian inference to consider seismic data, geologic information, and rock-physics knowledge simultaneously. We have performed the prestack seismic inversion using wave-equation migration velocity analysis (WEMVA) for vertical transverse isotropic (VTI) models. This image-space method enabled automatic geologic interpretation. We have integrated the geologic information as spatial model correlations, applied on each parameter individually. We integrate the rock-physics information as lithologic model correlations, bringing additional information, so that the parameters weakly constrained by seismic are updated as well as the strongly constrained parameters. The constraints provided by the additional information help the inversion converge faster, mitigate the ambiguities among the parameters, and yield VTI models that were consistent with the underlying geologic and lithologic assumptions. We have developed the theoretical framework for the proposed integrated WEMVA for VTI models and determined the added information contained in the regularization terms, especially the rock-physics constraints.

Anisotropic velocity model building using rock physics: Comparison of compaction trends and check‐shot‐derived anisotropy in the Gulf of Mexico

2011 ◽  
Author(s):  
Ran Bachrach ◽  
Yangjun (Kevin) Liu ◽  
Marta Woodward ◽  
Olga Zradrova ◽  
Yi Yang ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Model Building ◽  
Rock Physics ◽  
Velocity Model ◽  
Velocity Model Building

Rock physics guided velocity model building

2018 ◽  
Author(s):  
Huy Le ◽  
Anshuman Pradhan ◽  
Nader C. Dutta ◽  
Biondo Biondi ◽  
Tapan Mukerji ◽  
...  
Keyword(s):  
Model Building ◽  
Rock Physics ◽  
Velocity Model ◽  
Velocity Model Building

Applications of deterministic and stochastic rock physics modelling to anisotropic velocity model building

2013 ◽  
Vol 61 (2) ◽  
pp. 404-415 ◽  
Author(s):  
Ran Bachrach ◽  
Konstantin Osypov ◽  
Dave Nichols ◽  
Yi Yang ◽  
Yangjun Liu ◽  
...  
Keyword(s):  
Model Building ◽  
Rock Physics ◽  
Velocity Model ◽  
Velocity Model Building

Velocity model building using basin modeling and rock physics, with examples from Campeche deep-water Gulf of Mexico

2019 ◽  
Author(s):  
Jianchun Dai ◽  
Dawn Jantz ◽  
Zengbao Chen ◽  
Claire Jacob ◽  
Daniel Smith ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Deep Water ◽  
Model Building ◽  
Rock Physics ◽  
Velocity Model ◽  
Basin Modeling ◽  
Velocity Model Building
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