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Depth-Domain Pre-Stack 4D Seismic Inversion in Complex Geology
81st EAGE Conference and Exhibition 2019, 2019Present industry 4D workflows normally use the co-processing and imaging of baseline and monitor surveys with the same depth-interval velocity model. Standard practice is to re-align the migrated offset or angle stacks vintages with dynamic 1-D Warping and extract amplitude differences for 4D interpretation.
C. Gerea +4 more
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Chinese Journal of Geophysics, 2016
AbstractThe small‐scale discontinuous and inhomogeneous geologies, such as tiny faults, cavities and fractures, play an important role in reservoir analysis. However, effectively extracting them from seismic imaging data is a challenging problem, as their seismic responses are much weaker than reflections' from large‐scale structures. On the other hand,
ZHAO Jing‐Tao +5 more
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AbstractThe small‐scale discontinuous and inhomogeneous geologies, such as tiny faults, cavities and fractures, play an important role in reservoir analysis. However, effectively extracting them from seismic imaging data is a challenging problem, as their seismic responses are much weaker than reflections' from large‐scale structures. On the other hand,
ZHAO Jing‐Tao +5 more
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Inversion of regional gravity anomalies and main features of the deep crustal geology of India
Tectonophysics, 1989Abstract Long-wavelength gravity field variations provide an important geophysical tool for delineating structural features of the deeper parts of the Earth's interior. Continuous developments in data-processing and inversion techniques have led to refinements in regional- as well as planetary-scale structural models.
J.G. Negi, P.K. Agrawal, N.K. Thakur
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3D Inversion of Ultradeep Electromagnetic Data, the Key to Understanding Complex Subsurface Geology
Offshore Technology Conference Asia, 2020Abstract In complex reservoirs, the position of geological and fluid boundaries can vary significantly in all directions; for comprehensive reservoir understanding and optimal placement of the wellbore, these boundaries should be mapped and understood in three dimensions (3D).
Nigel Mark Clegg +5 more
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Amplitude Inversion of Depth-imaged Seismic Data from Areas with Complex Geology
Proceedings, 2013Conventional amplitude inversion assumes that the input migrated image has preserved relative amplitude information and is free from the effects of illumination. Under this assumption, stretching a depth migrated image back to time and applying inversion based on 1D convolutional modeling can produce reasonable results. However, illumination effects in
S.H. Archer, X. Du, R.P. Fletcher
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AAPG Bulletin, 1982
A simple mathematical inverse method has been developed to correlate two time series Y1(x1) and Y2(x2), where these two signals are related to each other by a mapping function x1(x2). The mapping function describes differences between the two signals and is parameterized in terms of a sum of simple functions of unknown coefficients, ai.
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A simple mathematical inverse method has been developed to correlate two time series Y1(x1) and Y2(x2), where these two signals are related to each other by a mapping function x1(x2). The mapping function describes differences between the two signals and is parameterized in terms of a sum of simple functions of unknown coefficients, ai.
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Progress in Defining Deeper Realistic Geology Using AEM 2.5D Joint Inversion
78th EAGE Conference and Exhibition 2016, 2016Including interpretations from airborne geophysical surveys to build geological models continues to improve outcomes for deriving more realistic geological representations. It is now highly practical for AEM data to be both forward modelled and inverted using 2.5D numerical approximations.
J. Silic +3 more
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Geology-Guided Variational Bayesian Mixture of Experts for AVA Inversion
Traditional task-oriented learning for pre-stack AVA inversion typically adopts a single-network architecture to handle all elastic parameters. This practice introduces two inherent limitations. First, it struggles to accommodate spatial variations in lithofacies because a single global mapping cannot satisfy the distinct elastic-parameter ...Zilu Fu +3 more
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Seismic inversion based on GAN joined with geophysical constraints for near-surface geology
Global Meeting AbstractsDeep-learning algorithms have great potential in interpreting complex geo-datasets, e.g., unveiling near-surface geological structures and properties by seismic inversion with deep-learning methods. However, it is realized that the lack of geophysical constraints seriously affects the feasibility and accuracy of the inversion results.
Wenlu Huang, Jianguo Yan
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2010 International Conference on Multimedia Technology, 2010
The feasibility of development seismic inversion and detailed reservoir description are difficult ,in order to solve the problems curve reconstruction was proposed based on frequency division compensating. According to different-frequency logging curves reflecting different geological and sedimentary features, using the theory of high frequency ...
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The feasibility of development seismic inversion and detailed reservoir description are difficult ,in order to solve the problems curve reconstruction was proposed based on frequency division compensating. According to different-frequency logging curves reflecting different geological and sedimentary features, using the theory of high frequency ...
openaire +1 more source