All Stories

  1. Prediction of Reservoir Properties Using the RDQ Crossplot Workflow
  2. Introduction to this special section: Reservoir characterization
  3. The DQ Trace Method for Quantitative Seismic Interpretation: #xD;Theory and Application to a Synthetic AVO Data Catalog#xD;
  4. Seismic prediction of carbonate reservoir productivity using shallow and deep learning algorithms.
  5. SEISMIC ABERRANCY UNRAVELING BASEMENT FLEXURES: A STUDY FROM, NE INDIA
  6. Characterization of seismic-scale petrofacies variability in the Arbuckle Group using supervised machine learning: Wellington Field, Kansas
  7. UNCERTAINTY ASSESSMENT IN UNSUPERVISED MACHINE LEARNING METHODS FOR DEEPWATER CHANNEL SEISMIC FACIES USING OUTCROP-DERIVED 3D MODELS AND SYNTHETIC SEISMIC DATA
  8. Introduction to this special section: Imaging faults and fractures
  9. Water contact mapping and saturation estimation using simultaneous inversion of time-lapse seismic data constrained by fluid substitution and Leverett J-function analysis
  10. Fault characterization in a postsalt reservoir interval, Jubarte Field (Campos Basin), using seismic attributes and machine learning
  11. Contrasting faulting styles of salt domes and volcanoes: Can unsupervised learning techniques differentiate fault styles?
  12. Recognizing societal influences in earthquake geohazard risk perception with explainable AI while mitigating risks through improved seismic interpretation
  13. When the levee breaks: Visualization of a deepwater crevasse splay in Late Cretaceous in Exmouth Basin Offshore Western Australia
  14. Quantifying the sensitivity of seismic facies classification to seismic attribute selection: An explainable machine-learning study
  15. Fault enhancement comparison among coherence enhancement, probabilistic neural networks, and convolutional neural networks in the Taranaki Basin area, New Zealand
  16. Multiattribute analysis of channel architectural elements within the deepwater Taranaki Basin, 3D Romney data
  17. Seismic clues into the origin of polygonal faulting and pockmarks in the Great South Basin, New Zealand
  18. Fault enhancement using probabilistic neural networks and Laplacian of a Gaussian filter: A case study in the Great South Basin, New Zealand
  19. Introduction to this special section: Seismic interpretation
  20. Are bright spots always hydrocarbons? A case study in the Taranaki Basin, New Zealand
  21. Seismic characterization of a blocky mass transport deposit in the Traella Limestone Formation, North Carnarvon Basin, Australia
  22. How to discriminate between large folds or faults by using seismic attributes and analogs
  23. The importance of recognizing multiples in legacy data: a case study from the Brazilian Equatorial Margin
  24. Seismic attribute enhancement of weak and discontinuous gas hydrate bottom-simulating reflectors in the Pegasus Basin, New Zealand
  25. Subsurface channel imaging in New Zealand