IEEE Signal Processing - March 2018 - 17

signals, the detection of such events, and,
finally, the classification of the detected
events. They utilize a data set that contains six years of recordings with more
than 100,000 volcano-seismic events
acquired from Ubinas volcano, the most
active volcano in Peru.
In the article "A Seismic Shift in
Scalable Acquisition Demands New Processing," Martin et al. address a crucial
development in the field of near-surface
monitoring in urban areas, triggered by
optical seismic acquisition systems. The
article uses data from a fiber-optic array
in existing telecommunications conduits underneath the Stanford University campus in California. The authors
focus on the automation of ambient
noise processing.
Next, approaches to seismic deconvolution are discussed in "Improving
Sparse Multichannel Blind Deconvolution with Cor related Seismic
Data" by Nose-Filho et al. Specifically, the authors discuss multichannel
blind deconvolution methods where
the underlying assumption is that the
wavelets that affect some subsets of
the seismic data are approximately the
same. The authors highlight a method
that exploits the high correlation of
seismic data to both reduce the computational complexity of multichannel
deconvolution and improve the quality
of the solution.
Payani et al. address the challenge of
reducing the size of the sensed data in
seismic surveys in their article, "Advances in Seismic Data Compression via
Learning from Data." Specifically, they
show that, by placing some intelligence at
the sensors in the field, they can achieve
good lossless compression ratios. They
discuss both dictionary domain methods
and predictive methods.
In Santos de Oliveira's article, "An
Approximate Representation of the
Fourier Spectra of Irregularly Sampled
Multidimensional Functions," a common challenge in inverse problems is
discussed where the Fourier spectra of
irregularly sampled multidimensional
is estimated in an approximate fashion.
In "Well-Log and Seismic Data
Integration for Reservoir Characterization," Chaki, Routray, and Mohanty

major challenges in using CT scan to
provide an overview of existing sigextract rock properties. The key open
nal processing and machine-learning
problems are highlighted as well.
algorithms that explore the relationship
Hu et al., in "Retrieving Low Wavebetween well-log data and seismic data.
number Information in FWI," address
In particular, the signal processing tools
one of the FWI challenges that takes
are primarily required for information
place when low-frematching, preprocessing for noise and
the articles are diverse in quency seismic data
artifacts, and posttheir coverage and discuss are not available. In
this case, FWI suffers
processing for remova wide range of problems
from the cycle-skiping irregularities.
in geophysics.
ping issue caused by
AlRegib et al. fothe severe nonlinearity
cus on the challenge
nature of the standard L2 norm objective
of interpretation in their article, "Subfunction and results in severe artifacts.
surface Structure Analysis Using ComIn the final article, "Complex Autoreputational Interpretation and Learning,"
gressive Time-Frequency Analysis,"
where they provide a detailed overview
Andrade, Porsani, and Ursin discuss the
of existing image processing methods
effectiveness of time-frequency representhat have been developed for intertations of nonstationary signals in geopretation. They further discuss recent
physical applications. They specifically
advances in machine learning and huaddress the challenge of estimating the
man vision system modeling and their
individual components of the signal.
effectiveness in the seismic interpretation process. The authors propose a new
application of labeling seismic volumes
Acknowledgments
that contributes to the automation of the
We would like to express our deep gratioverall interpretation workflow.
tude to the many individuals who made
In the article "Array Processing in
this special issue of SPM possible. We
Microseismic Monitoring," McClellan
thank all of the authors who submitted
et al. discuss a process that has become
proposals as well as the reviewers whose
popular in recent years-hydraulic fracrecommendations significantly helped in
turing, where fluid is injected at high
improving the selected articles. We are
pressure into a subsurface reservoir.
indebted to former SPM Editor-inSuch injection results in failure of the
Chief Min Wu for her continuous suprocks and that produces a seismic wave.
port and guidance throughout the
This article discusses advanced signal
process. We are also grateful to IEEE
processing methods that estimates the
Signal Processing Society Publications
location as well as the character of the
Administrator Rebecca Wollman for her
failure events.
valuable assistance.
In the "Wireless Digital Communication Technologies for Drilling"
Meet the guest editors
Jarrot, Gelman, and Kusuma provide
Ghassan AlRegib
an overview of monitoring the drill(alregib@gatech.edu)
ing process with the goal of achieving
received his B.S. dea safe operating envelope, guiding the
gree in electrical endrilling system into the most producgineering from King
tive zones, and providing information
Fahd University of Pefor further stages in the completion of
troleum and Minerals, Dhahran, Saudi
the well. The article addresses recent
Arabia, in 1997 and his Ph.D. degree in
advances in digital channel models and
electrical and computer engineering from
geological models to achieve data rates
the Georgia Institute of Technology
higher than existing technologies such
(Georgia Tech) in 2003, where he is a
as mud-pulse telemetry and electromagprofessor in the School of Electrical
netic telemetry.
and Computer Engineering. In 2012, he
Al-Marzouqi's article, "Digital Rock
was named the director of Georgia
Physics," presents recent advances and
Tech's Center for Energy and Geo
IEEE Signal Processing Magazine

March 2018

Table of Contents for the Digital Edition of IEEE Signal Processing - March 2018