TLDR Vera & Bedle 2024: Seal and Reservoir Risk Evaluation Using Hierarchical Clustering Analysis
Автор: AASPI
Загружено: 2024-11-16
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In this video, we demonstrate how Hierarchical Clustering Analysis (HCA) can be applied to seismic data for assessing reservoir rock quality and sealing capacity in offshore fields. By integrating seismic attributes and borehole data, we show how HCA can classify reservoir and seal rocks and evaluate the risks associated with fluid migration in faulted areas. Using a calibrated approach, we transform HCA clusters into a 3D lithology model to assess seal and reservoir rock juxtaposition in two datasets from the Carnarvon Basin in Northwestern Australia. This study enhances the accuracy of seal risk analysis by combining machine learning, fault probability, and seismic interpretation to better understand subsurface geology.
paper link: https://www.sciencedirect.com/science...
#SeismicAnalysis #ReservoirRisk #SealRisk #MachineLearning #HierarchicalClustering #SeismicAttributes #CarnarvonBasin #OffshoreExploration #FaultProbability #Geoscience #HydrocarbonExploration #PetrophysicalData #ReservoirCharacterization #SeismicFacies
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