Zhang Xuan, Zhenhua Yan, Xu Xiang, Li Xiang, Zhigang Chen, Jianhua Li, Ji Xuewu
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Seismic Facies Recognition of Ultra-Deep Carbonate Rocks Based on Convolutional Neural Network
: Seismic facies is a seismic reflection unit defined by specific seismic reflection characteristics, that is, the seismic responses of sedimentary facies or geological bodies, whose accuracy will directly affect the reliability of oil and gas exploration results. Currently, seismic facies is generally recognized depending upon the differences between certain single trace seismic attributes (waveform, frequency spectrum, and amplitude, etc.) and adjacent units to conduct cluster analysis. Such methods, however, have ambiguity in identifying special reflective structures with continuous waveforms (e
期刊介绍:
Earth Sciences History promotes and publishes historical work on all areas of the earth sciences – including geology, geography, geophysics, oceanography, paleontology, meteorology, and climatology.
The journal honors and encourages a variety of approaches to historical study: biography, history of ideas, social history, and histories of institutions, organizations, and techniques.
Articles are peer reviewed.