All Stories

  1. UNCERTAINTY ASSESSMENT IN UNSUPERVISED MACHINE LEARNING METHODS FOR DEEPWATER CHANNEL SEISMIC FACIES USING OUTCROP-DERIVED 3D MODELS AND SYNTHETIC SEISMIC DATA
  2. Sensitivity analysis of seismic attributes parametrization to reduce misinterpretations: Applications to deepwater channel complexes
  3. Decomposing and recovering airborne radiometric data through principal component analysis applied on flight-line data: An alternative to reduce noise
  4. Deepwater seismic facies and architectural element interpretation aided with unsupervised machine learning techniques: Taranaki basin, New Zealand
  5. User vs. machine-based seismic attribute selection for unsupervised machine learning techniques: Does human insight provide better results than statistically chosen attributes?
  6. Sensitivity analysis of seismic attributes parametrization for interpretation of a multi-story deepwater channel system: Tres Pasos Formation, Magallanes Basin Chile
  7. Identification of polygonal faulting from legacy 3D seismic data in vintage Gulf of Mexico data using seismic attributes
  8. Basinal variation of seismic attribute response in deepwater architectural element recognition
  9. How to discriminate between large folds or faults by using seismic attributes and analogs
  10. Seismic geomorphology of deep-water channel systems in the southern Taranaki Basin
  11. Seismic facies identification in a deepwater channel complex applying seismic attributes and unsupervised machine learning techniques. A case study in the Taranaki Basin, New Zealand.