Interpretation 7 (3):T713-T725 (2019)

Authors
Y Jiang
King's College London
Abstract
Coherence is widely used for detecting faults in reservoir characterization. However, faults detected from coherence may be contaminated by some other discontinuities that are unrelated to faults. To further improve the accuracy and efficiency of coherence, preprocessing or postprocessing techniques are required. We developed an enhanced fault-detection method with adaptive scale highlighting and high resolution, by combining adaptive spectral decomposition and super-resolution deep learning into coherence calculation. As a preprocessing technique, adaptive spectral decomposition is first proposed and applied on seismic data to get a dominant-frequency-optimized amplitude spectrum, which has features of scale focus and multiple resolution. Eigenstructure-based coherence with dip correction is then calculated to delineate fault discontinuities. Following the remarkable success of SR deep learning in image reconstruction, a convolutional neural network model is built and it then takes fault-detection images as the input to achieve enhanced results. The effectiveness of our proposed method is validated on a seismic survey acquired from Eastern China. Examples demonstrate that coherence from adaptive amplitude spectrum without dip correction is comparable to the dip-corrected one from seismic amplitude data at a certain degree, and they even highlight the specific scale of fault targets. Comparing fault detections from adaptive spectrum and some specific-frequency components, it can be concluded that adaptive spectral-based coherence highlights the primary scale of faults at various depths with only one single volume of data, thus improving the interpretation efficiency and reducing storage cost. Furthermore, with the trained CNN model, the resolution and signal-to-noise ratio of coherence images are effectively improved and the continuity of detected fault is promisingly enhanced.
Keywords No keywords specified (fix it)
Categories No categories specified
(categorize this paper)
DOI 10.1190/int-2018-0180.1
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 64,077
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Multispectral Coherence.Fangyu Li, Jie Qi, Bin Lyu & Kurt J. Marfurt - 2018 - Interpretation: SEG 6 (1):T61-T69.

View all 7 references / Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Entanglement of Pure States.Stig Stenholm - 2009 - Foundations of Physics 39 (6):642-655.
Paradigm: Community Adaptive Systems. Paradigma: Community-Adaptive Systeme”.Andreas Kaminski - 2011 - In Max Mühlhäuser, Werner Sesink, Andreas Kaminski & Jürgen Steimle (eds.), IATEL. Interdisciplinary approaches to technology-enhanced learning. Münster, New York, NY, München, Berlin: Waxmann. pp. 187–196.
Community-Adaptive Systems: Learning From Learners - a Smart Idea?Andreas Kaminski - 2011 - In Max Mühlhäuser, Werner Sesink, Andreas Kaminski & Jürgen Steimle (eds.), IATEL. Interdisciplinary approaches to technology-enhanced learning. Münster, New York, NY, München, Berlin: Waxmann. pp. 171–177.

Analytics

Added to PP index
2019-06-13

Total views
12 ( #788,360 of 2,454,542 )

Recent downloads (6 months)
2 ( #303,373 of 2,454,542 )

How can I increase my downloads?

Downloads

My notes