Skip to Main Content
Skip Nav Destination
GEOREF RECORD

Reflectivity inversion for attenuated seismic data; physical modeling and field data experiments

Chai Xintao, Wang Shangxu, Wei Jianxin, Li Jingnan and Yin Hanjun
Reflectivity inversion for attenuated seismic data; physical modeling and field data experiments
Geophysics (January 2016) 81 (1): T11-T24

Abstract

We have developed a method of nonstationary sparse reflectivity inversion (NSRI) that directly retrieves the reflectivity series from nonstationary seismic data without the intrinsic instability associated with inverse Q filtering methods. We have investigated the NSRI performance in the presence of input error (e.g., the phase shift and the peak frequency of the wavelet), which determined that NSRI results are reasonable in the case of moderate error. NSRI was then applied to data collected from a laboratory physical model made of highly attenuating media, for which true reflectivities were known, but the wave propagation and the Q filtering mechanism were not. Analysis of data from the physical model, therefore, represented a blind test for evaluating the effectiveness and accuracy of NSRI. The physical model had a specified spatial scale of 1:5000 (relative to the field scale) and an approximate 1:1 velocity scale. Because the Q input is required by NSRI, attenuation of the P-wave was measured in the laboratory at ultrasonic frequencies with a pulse transmission technique and the spectral ratio method. Although multiples, side reflections from the model boundaries, diffractions, and other event types were clearly observed from the raw data, no preprocessing was done to avoid affecting the Q filtering effects. Results from the physical modeling data demonstrated that the derived formula for an attenuated seismogram was correct and estimated Q values were reliable. The functions and advantages of NSRI were confirmed. The Q compensated seismogram generated by NSRI was superior to that generated using gain-limited inverse Q filtering. We have also investigated NSRI's capabilities in analyzing a marine data set from the Gulf of Suez. These examples provided a basis for discussing assumptions and limitations of NSRI.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 81
Serial Issue: 1
Title: Reflectivity inversion for attenuated seismic data; physical modeling and field data experiments
Affiliation: China University of Petroleum, Laboratory of Petroleum Resources and Prospecting, Beijing, China
Pages: T11-T24
Published: 201601
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 55
Accession Number: 2016-047339
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table
N27°40'00" - N30°00'00", E32°19'60" - E34°10'00"
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201623
Close Modal

or Create an Account

Close Modal
Close Modal