All Stories

  1. 4D Seismic Attribute Integration: A Technique for Enhanced Reservoir Fluid Movement Analysis
  2. Revealing the hidden faults of the Oklahoma basement through unsupervised machine-learning methods and the integration of earthquake data
  3. Introduction to this special section: Urban and infrastructure geophysics
  4. Prediction of reservoir properties using the distance and quadrant trace attribute and rotated distance and quadrant inversion workflow
  5. Techniques for improved visualization and interpretation of seismic attributes using scientific colormaps
  6. Improving interpretability: The role of dimension reduction in multiattribute seismic facies identification
  7. Revealing channelized features through multiscale workflows in a mixed carbonate siliciclastic setting, Grayburg and San Andres formations, Midland Basin, TX
  8. Postmigration seismic data conditioning workflow on a merged data set
  9. Detection of small-offset faults in seismic data: An application for carbon capture and storage
  10. Distance and quadrant trace method for quantitative seismic interpretation: Theory and application to a synthetic amplitude variation with offset data catalog
  11. Prediction of Reservoir Properties Using the RDQ Crossplot Workflow
  12. Introduction to this special section: Reservoir characterization
  13. Seismic prediction of carbonate reservoir productivity using shallow and deep learning algorithms.
  14. SEISMIC ABERRANCY UNRAVELING BASEMENT FLEXURES: A STUDY FROM, NE INDIA
  15. Characterization of seismic-scale petrofacies variability in the Arbuckle Group using supervised machine learning: Wellington Field, Kansas
  16. UNCERTAINTY ASSESSMENT IN UNSUPERVISED MACHINE LEARNING METHODS FOR DEEPWATER CHANNEL SEISMIC FACIES USING OUTCROP-DERIVED 3D MODELS AND SYNTHETIC SEISMIC DATA
  17. Introduction to this special section: Imaging faults and fractures
  18. Water contact mapping and saturation estimation using simultaneous inversion of time-lapse seismic data constrained by fluid substitution and Leverett J-function analysis
  19. Fault characterization in a postsalt reservoir interval, Jubarte Field (Campos Basin), using seismic attributes and machine learning
  20. Contrasting faulting styles of salt domes and volcanoes: Can unsupervised learning techniques differentiate fault styles?
  21. Recognizing societal influences in earthquake geohazard risk perception with explainable AI while mitigating risks through improved seismic interpretation
  22. When the levee breaks: Visualization of a deepwater crevasse splay in Late Cretaceous in Exmouth Basin Offshore Western Australia
  23. Quantifying the sensitivity of seismic facies classification to seismic attribute selection: An explainable machine-learning study
  24. Fault enhancement comparison among coherence enhancement, probabilistic neural networks, and convolutional neural networks in the Taranaki Basin area, New Zealand
  25. Multiattribute analysis of channel architectural elements within the deepwater Taranaki Basin, 3D Romney data
  26. Seismic clues into the origin of polygonal faulting and pockmarks in the Great South Basin, New Zealand
  27. Fault enhancement using probabilistic neural networks and Laplacian of a Gaussian filter: A case study in the Great South Basin, New Zealand
  28. Introduction to this special section: Seismic interpretation
  29. Are bright spots always hydrocarbons? A case study in the Taranaki Basin, New Zealand
  30. Seismic characterization of a blocky mass transport deposit in the Traella Limestone Formation, North Carnarvon Basin, Australia
  31. How to discriminate between large folds or faults by using seismic attributes and analogs
  32. The importance of recognizing multiples in legacy data: a case study from the Brazilian Equatorial Margin
  33. Seismic attribute enhancement of weak and discontinuous gas hydrate bottom-simulating reflectors in the Pegasus Basin, New Zealand
  34. Subsurface channel imaging in New Zealand