Articles | Volume 10, issue 4
https://doi.org/10.5194/se-10-1049-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-10-1049-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantification of uncertainty in 3-D seismic interpretation: implications for deterministic and stochastic geomodeling and machine learning
Department of Geology and Petroleum Geology, School of Geosciences, University of Aberdeen, AB24 3UE, Aberdeen, UK
Clare E. Bond
Department of Geology and Petroleum Geology, School of Geosciences, University of Aberdeen, AB24 3UE, Aberdeen, UK
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- Quantifying and Analyzing the Uncertainty in Fault Interpretation Using Entropy Z. Lei 10.1007/s11004-024-10156-3
- Exciting opportunities in planetary structural geology and tectonics: An early career perspective K. Crane & V. Galluzzi 10.3389/feart.2022.1046652
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- Improved Workflow for Fault Detection and Extraction Using Seismic Attributes and Orientation Clustering M. Kim et al. 10.3390/app11188734
- Mapping faults in 3D seismic data – why the method matters F. Robledo Carvajal et al. 10.1016/j.jsg.2023.104976
- Quantifying fault interpretation uncertainties and their impact on fault seal and seismic hazard analysis B. Andrews et al. 10.1016/j.jsg.2024.105158
- Multi‐scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules G. Godefroy et al. 10.1029/2020JB020022
- Seismic characterization of deeply buried paleocaves based on Bayesian deep learning G. Zhang et al. 10.1016/j.jngse.2021.104340
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- Refined implicit characterization of engineering geology with uncertainties: a divide-and-conquer tactic-based approach M. Li et al. 10.1007/s10064-024-03765-z
- 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures R. Madsen et al. 10.5194/hess-25-2759-2021
- Estimating uncertainties in 3-D models of complex fold-and-thrust belts: A case study of the Eastern Alps triangle zone S. Brisson et al. 10.1016/j.acags.2023.100115
29 citations as recorded by crossref.
- Implications of depth conversion on fault geometries and fault-risk assessment in the Smeaheia CO 2 storage site, northern North Sea N. Holden et al. 10.1144/geoenergy2024-006
- Introduction: Handling uncertainty in the geosciences: identification, mitigation and communication L. Pérez-Díaz et al. 10.5194/se-11-889-2020
- Quantifying and Analyzing the Uncertainty in Fault Interpretation Using Entropy Z. Lei 10.1007/s11004-024-10156-3
- Exciting opportunities in planetary structural geology and tectonics: An early career perspective K. Crane & V. Galluzzi 10.3389/feart.2022.1046652
- Structural geologic modeling and restoration using ensemble Kalman inversion D. Oakley et al. 10.1016/j.jsg.2023.104868
- Continent‐Ocean Transition or Boundary? Crowd‐Sourced Seismic Interpretations of the East‐India Passive Margin C. Bond et al. 10.1029/2022TC007624
- Magnitude Estimation of Overpressure Generation Mechanisms Using Quantitative Stochastic 2D Basin Models: A Case Study from the Danube-Tisza Interfluve Area in Hungary Z. Nagy et al. 10.3390/app11062841
- Exploring seismic detection and resolution thresholds of fault zones and gas seeps in the shallow subsurface using seismic modelling T. Faleide et al. 10.1016/j.marpetgeo.2022.105776
- Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling R. Madsen et al. 10.1016/j.enggeo.2022.106833
- Multiscale data fusion reservoir modeling: The case study of the E3h formation, A gas field, X sag (East China Sea) M. Dou et al. 10.1016/j.geoen.2023.212081
- Detection and quantification of CO2 seepage in seawater using the stoichiometric Cseep method: Results from a recent subsea CO2 release experiment in the North Sea A. Omar et al. 10.1016/j.ijggc.2021.103310
- Svalbox Digital Model Database: A geoscientific window into the High Arctic P. Betlem et al. 10.1130/GES02606.1
- Deep learning–based stochastic modelling and uncertainty analysis of fault networks S. Han et al. 10.1007/s10064-022-02735-7
- Constraining stochastic 3-D structural geological models with topology information using approximate Bayesian computation in GemPy 2.1 A. Schaaf et al. 10.5194/gmd-14-3899-2021
- Interactive Multimedia Data Coscattering Point Imaging for Low Signal-to-Noise Ratio 3D Seismic Data Processing J. Fei et al. 10.1155/2022/6904653
- Geostatistical Inversion of Spectrally Broadened Seismic Data for Re-Evaluation of Oil Reservoir Continuity in Inas Field, Offshore Malay Basin B. Nwafor et al. 10.3390/jmse10060727
- Imaging the Subsurface: How Different Visualizations of Cross-sections Affect the Sense of Uncertainty A. Bang-Kittilsen & T. Midtbø 10.1007/s41651-020-00071-6
- How do differences in interpreting seismic images affect estimates of geological slip rates? W. Hu 10.5194/se-13-1281-2022
- Quantifying the impact of the structural uncertainty on the gross rock volume in the Lubina and Montanazo oil fields (Western Mediterranean) C. Bárbara et al. 10.5194/se-10-1597-2019
- Impacts of seismic resolution on fault interpretation: Insights from seismic modelling T. Faleide et al. 10.1016/j.tecto.2021.229008
- Improved Workflow for Fault Detection and Extraction Using Seismic Attributes and Orientation Clustering M. Kim et al. 10.3390/app11188734
- Mapping faults in 3D seismic data – why the method matters F. Robledo Carvajal et al. 10.1016/j.jsg.2023.104976
- Quantifying fault interpretation uncertainties and their impact on fault seal and seismic hazard analysis B. Andrews et al. 10.1016/j.jsg.2024.105158
- Multi‐scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules G. Godefroy et al. 10.1029/2020JB020022
- Seismic characterization of deeply buried paleocaves based on Bayesian deep learning G. Zhang et al. 10.1016/j.jngse.2021.104340
- The impact of seismic interpretation methods on the analysis of faults: a case study from the Snøhvit field, Barents Sea J. Cunningham et al. 10.5194/se-12-741-2021
- Refined implicit characterization of engineering geology with uncertainties: a divide-and-conquer tactic-based approach M. Li et al. 10.1007/s10064-024-03765-z
- 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures R. Madsen et al. 10.5194/hess-25-2759-2021
- Estimating uncertainties in 3-D models of complex fold-and-thrust belts: A case study of the Eastern Alps triangle zone S. Brisson et al. 10.1016/j.acags.2023.100115
Discussed (preprint)
Latest update: 23 Nov 2024
Short summary
Seismic reflection data allow us to infer subsurface structures such as horizon and fault surfaces. The interpretation of this indirect data source is inherently uncertainty, and our work takes a first look at the scope of uncertainties involved in the interpretation of 3-D seismic data. We show how uncertainties of fault interpretations can be related to data quality and discuss the implications for the 3-D modeling of subsurface structures derived from 3-D seismic data.
Seismic reflection data allow us to infer subsurface structures such as horizon and fault...