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Domain‐specific visualization system based on automatic multiseed recommendations: Extracting stratigraphic structures
Author(s) -
Liu Richen,
Ji Genlin,
Su Mingjun
Publication year - 2020
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.2768
Subject(s) - visualization , computer science , graph , data mining , tracing , domain (mathematical analysis) , kernel (algebra) , kernel density estimation , computation , data visualization , theoretical computer science , algorithm , mathematics , mathematical analysis , statistics , combinatorics , estimator , operating system
Summary Underground flow path (UFP) is one of the most significant stratigraphic structures in revealing the distribution of oil or gas from seismic data. We design a domain‐specific visualization system to extract the stratigraphic structures by seed point tracing and explore the seismic data by graph interactions. The seeds are automatically generated by kernel function–based density gradients computation. Users are allowed to adjust the recommended seeds by fine‐tuning them with visual interactions. The seeds are further merged by a weighted quick‐union algorithm to get the link information to construct a graph. Different types of nodes in the graph are designed to enable users to explore the extracted UFP structures intuitively. Finally, we evaluated the proposed approach by performance tests, sensitivity tests, and ground truth tests. The feedback from the domain experts demonstrates that the proposed visualization tool improved the capability of revealing the distribution and geostructures of UFPs compared with the existing methods.