Premium
Seismic facies characterization by monoscale analysis
Author(s) -
Herrmann Felix J.,
Lyons William J.,
Stark Colin P.
Publication year - 2001
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2001gl013020
Subject(s) - singularity , geology , wavelet , amplitude , exponent , reflection (computer programming) , scale (ratio) , facies , characterization (materials science) , scale invariance , reservoir modeling , waveform , seismology , geometry , mathematics , computer science , optics , physics , artificial intelligence , statistics , structural basin , paleontology , telecommunications , linguistics , philosophy , geotechnical engineering , radar , quantum mechanics , programming language
Relating sedimentary records to seismic data is a major challenge. By shifting focus to a scale‐invariant sharpness characterization for the reflectors, we develop an attribute that can capture and categorize the main reflector features, without being sensitive to amplitudes. Sharpness is defined by a scale exponent, which expresses singularity order and determines the reflection signature/waveform. Local scale exponent estimates are obtained with a new monoscale method. Compared to multiscale wavelet analysis, our method has the advantage of measuring transition exponents at a single fixed scale using a simple on‐off criterion. The exponents contain amplitude variation information and describe lithological onsets. We create an image of the earth's local singularity structure by applying our method to seismic traces and well‐log data. The singularity map facilitates interpretation, facies characterization, and integration of well and seismic data.