Efficient Fault Surface Grouping in 3-D Seismic Fault Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3179052
Abstract: High-precision seismic fault detection and fault surface extraction (or grouping) are critical steps in reservoir characterization. In this article, basing on the gradually changing characteristics of the target faults in the adjacent 2-D seismic fault… read more here.
Keywords: high precision; fault surface; seismic fault; surface grouping ... See more keywords
Seismic fault detection with convolutional neural network
Sign Up to like & getrecommendations! Published in 2018 at "GEOPHYSICS"
DOI: 10.1190/geo2017-0666.1
Abstract: Mapping fault planes using seismic images is a crucial and time-consuming step in hydrocarbon prospecting. Conventionally, this requires significant manual efforts that normally go through several iterations to optimize how the different fault planes connect… read more here.
Keywords: fault; detection; convolutional neural; seismic fault ... See more keywords
Improving seismic fault detection by super-attribute-based classification
Sign Up to like & getrecommendations! Published in 2019 at "Interpretation"
DOI: 10.1190/int-2018-0188.1
Abstract: Fault interpretation is one of the routine processes used for subsurface structure mapping and reservoir characterization from 3D seismic data. Various techniques have been developed for computer-aided fault imaging in the past few decades; for… read more here.
Keywords: seismic fault; attribute; improving seismic; classification ... See more keywords