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2001 Abstracts | Fall 2000 Abstracts
| SPRING
2001 HEILAND LECTURE SERIES |
| Abstracts
|
Gwenola
Michaud
Ph.D.
Degree Candidate
Friday, March 30, 2001 Metals Hall, Green Center 4:00
p.m.
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| 4D
Borehole Seismic Study, Vacuum Field, New Mexico |
| Vacuum
Field, New Mexico is currently in tertiary oil recovery with a CO2
injection plan performed at the San Andres reservoir. Understanding
direction of open fractures, degree of fracturing, changes of pore
pressure and fluid substitution is required to monitor fluid flow
within reservoirs. Time-lapse multicomponent borehole seismic data
were recorded to help in carbonate reservoir characterization and
calibrate changes in seismic properties associated with CO2 flooding.
These borehole seismic data were recorded 500 ft away from two CO2
injectors and comprise a near-offset vertical seismic profile (VSP),
a walkaway recorded beneath the reservoir and a 3D VSP, acquired simultaneously
with the surface seismic data.
Analysis of
velocities, shear wave polarizations and Q factor from VSP data
have allowed a better understanding of the near-surface and reservoir
at the vicinity of the VSP well. The study on shear wave anisotropy
from estimation of shear wave polarization and time delay has enabled
the detection of a weak anisotropic zone from the surface down to
1000 ft with a polarization of fast shear waves of N120E. No changes
of shear wave polarization angle and time delays have been detected,
inferring no variations in the fracture direction, density and local
maximum stress over time. However, time-lapse changes in attenuation
on each dataset (VSP, 3D VSP and walkaway) are observed at the reservoir
after CO2 flooding t he interpretation of the time-lapse borehole
seismic data suggests that CO2 has contacted the VSP well along
a fracture zone over a time of eight months. Indeed, the structural
interpretation enables us to confirm the presence of faults and
fracture zones that explain the locations of changes in the fluid
properties and CO2 flooding observed from the surface seismic data
during the RCP Phases VI and VII.
Gwenola Michaud
earned a M.S. in Geophysics at Strasbourg, in 1997 and a B.S. in
Mathematics and Computer Sciences at Pau, in 1994. Before beginning
her Ph.D. program at Mines, she worked at the Compagnie Generale
de Geophysique (CGG) at Massy. Her studies at the CSM were sponsored
by CGG.
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Luca
Duranti
Ph.D Degree Canidate
Friday, March 30, 2001 Metals Hall Green Center
4:00 p.m. |
| Time
Lapse Multicomponent Seismic Monitoring of a Carbon Dioxide |
| Carbon
dioxide (CO2) injection is currently used as a tertiary recovery method
in the Permian San Andres Formation, Central Vacuum Unit, Lea County,
New Mexico. Multicomponent, 3D seismic surveys were conducted prior
to and 8 months after carbon dioxide injection in an attempt to monitor
the fluid front. Poststack layer stripping and cross-equalization
techniques were applied to the time-lapse data volumes to enhance
the interpretability of the compressional and shear modes, and their
variation over time. Time-lapse images reveal a complex seismic sensitivity
to pressure and fluid changes over time. Seismic observations are
explained on the basis of a specific rock model involving interaction
between the porous and fractured dolomite reservoir rock, and the
physical properties of the reservoir fluids.
Luca Duranti
has a B.Sc. in Geology from the University of Florence, Italy (1990).
He worked for Schlumberger from 1991 to 1996, enjoying the international
assignments and the diversity of projects he was involved with.
In September 1996 he started graduate work with the Reservoir Characterization
Project at the Colorado School of Mines.
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Dr.
David Lumley
President & CEO of 4th Wave Imaging Corp.
Laguna Beach, CA
SEG/AAPG Fall 2000 Distinguished Lecturer
Friday, March 23, 2001 Metals Hall, Green Center 4:00
p.m. |
| The
Next Wave in Reservoir Monitoring: The Instrumented Oil Field |
| Several
technologies are advancing to better monitor and optimize reservoir
production. These include time-lapse surface and borehole seismic,
shear wave technology, directional drilling, permanent sensor installations,
intelligent well completions, fiber optics, remote control operations,
data management and internet technology, shared earth models to extract
and archive reservoir knowledge, data visualization, parallel computing,
and rapid modeling, processing, analysis and decision-making tools.
These diverse technologies are converging toward the target of real-time
monitoring and optimization of reservoir production: the instrumented
oilfield.
In the geophysical
world, time-lapse seismic technology has been rapidly advancing
over the past few years. Several industry case studies are presented
that show 4D seismic is able to monitor injected fluid fronts, locate
bypassed oil, map pressure compartmentalization, and delineate the
sealing or leaking flow properties of faults. High-resolution time-lapse
seismic monitoring has been performed in the borehole, in VSP and
crosswell geometries. Together, time-lapse surface and borehole
seismic techniques have the possibility to cover multiple reservoir
scales in terms of both spatial and time-lapse resolution. Permanent
installation of receiver arrays, originally motivated by increased
repeatability and signal-to-noise energy, have the potential to
offer useful benefits in data acquisition cost reduction and real-time
surveying flexibility. Since multi-component receivers can be installed
for nearly the same price as acoustic sensors, the additional information
from shear waves can be useful for monitoring pressure fronts, in
situ stress, and real-time fracturing. However, many hardware, software,
deployment and logistical issues remain to be solved before permanent
seismic arrays become a practical reality.
David E. Lumley
is co-founder of 4th Wave Imaging Corp., a seismic imaging R&D
company offering expert solutions and services in 4D time-lapse
seismic reservoir monitoring and multi-component seismic data analysis.
His previous work experience includes a position as a Senior Staff
Research Scientist with Chevron Petroleum Technology, and research
and operations assignments with Arco Research, Mobil R&D Corp.,
and Mobil Canada. Prior to that, David worked as a seismic crew
leader for Western Geophysical on marine seismic vessels in the
Gulf of Mexico and the North Atlantic. David received a B.Sc. and
M.Sc. from the University of British Columbia, and a Ph.D. from
Stanford University where he now visits as a Consulting Professor.
David currently serves on the SEG Research Committee, is Chair of
the 2001 SEG Summer Research Workshop, and is a member of the AGU,
SIAM, SEG and SPE. David has received several awards for his papers
and presentations, and is a recipient of the 1996 SEG Karcher Award
for research scientists.
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Mauricio D. Sacchi
Department of Physics University of Alberta, Edmonton, Canada
Friday, March 9, 2001 Metals Hall, Green Center 4:00
p.m. |
| AR,
MA, and ARMA Modeling With Applications to Seismic Signal Processing
|
| In
this presentation, I will provide an overview of time series modeling
methods with applications to seismic signal processing. Specifically,
I will examine three important time series models: AR (auto-regressive),
MA (moving average) and ARMA models. In the first part of my talk,
I will focus the discussion on AR and MA models. These models are
central to the problem of deconvolution and spectral factorization
(minimum phase wavelet estimation). I will show that, by adopting
a higher order statistics approach, non-minimum phase wavelets can
be estimated via a procedure that resembles the well-known Kolmogoroff
spectral factorization technique. In this case, instead of factorizing
a phase-less function (power spectrum), we factorize a trispectum
(spectrum of the 4th order cumulant of the data).
In the second
part of my talk, I will examine AR and ARMA models in the context
of f-x random noise attenuation. I will show that an ARMA model
provides the proper representation for a superposition of plane
waves immersed in white noise. Finally, I will discuss the relation
that exists between the ARMA representation, the Pisarenko harmonic
estimator and the projection filtering techniqueproposed by Soubaras
(SEG 1994, 1995).
Mauricio D.
Sacchi was born in Colonel Brandsen, Argentina. He received his
Diploma in Geophysics from the Department of Astronomy and Geophysics,
National University of La Plata, Argentina, in 1988 and a Ph.D.
in geophysics from the University of British Columbia, Canada, in
1996. He joined the Department of Physics at the University of Alberta
in 1997 as an assistant professor of Geophysics. His research interests
are in seismic data processing, imaging, time series analysis and
inverse theory.
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Kristen Lewis
Colorado School of Mines
Friday, March 2, 2001 Metals Hall, Green Center 4:00
p.m. |
| Multiple
Impact Phase Mismatching in Shallow Seismic Data |
To
complete shallow seismic surveys, different types of sources are often
employed. These include impact and weight-drop devices, modified rifles
and guns, small explosives and, more recently, spark plugs. Because
of their low cost, noninvasive nature, portability, and ease of use,
sledgehammer-impact sources are often selected as the source of choice.
These sledgehammer-impact sources typically involve striking a metal
plate or block with a sledgehammer to produce the desired compressional
and/or shear waves. Unfortunately, several complications often arise
when using sledgehammer-impact sources for example: they efficiently
generate ground roll and air waves. Another complication that often
occurs when using these sources is called multiple-impact phase mismatching.
When examining data acquired from a series of single impacts located
at the same source location, one would expect the arrivals on the
seismic traces to be in-phase. Often, this is not the case. In many
instances, a time-variable phase shift is observed between the arrivals
on the seismic records. This phenomenon is called multiple-impact
phase mismatching. If common processing procedures are followed, multiple-impact
phase mismatching can be of concern, especially for near-surface data.
In general, most sledgehammer-impact seismic data are acquired using
in-the-field vertical stacking procedures, where traces from several
impacts are summed together before being written to disk. For traces
exhibiting multiple-impact phase mismatching, the use of vertical
stacking results in a loss of signal, due to the destructive interference
of the phase-shifted events. This loss of signal is especially troublesome
for near-surface data, where the signal-to-noise ratio is already
low.
Although few studies have attempted to quantify, model, or adequately
explain the source mechanism(s) that produce(s) the multiple-impact
phase mismatches, preliminary studies indicate that the mismatches
may result from deformation that occurs near the sledgehammer-impact
source. Since the seismic moment tensor depends on the strength and
orientation of the source and contains all the information about the
source character, any changes in these parameters that occur as a
function of impact number should also be reflected as changes in the
moment tensor. Through the use of moment tensor inversion, I intend
to examine how the source characteristics change as a function of
the number of sledgehammer impacts, which will help determine if the
phase mismatches are, in fact, caused by near-source deformation.
I am currently a doctoral student in the Near-Surface Seismology Group.
I received a BA degree in physics from Ohio Wesleyan University in
1996. Upon completion of my Ph.D., I will be joining BP Amoco at their
Houston office. |
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Roberto
Aguilera
Servipetrol Ltd., Calgary, Canada
Friday, February 23, 2001 Metals Hall, Green Center 4:00
p.m. |
|
Naturally Fractured Reservoirs |
|
This presentation
will focus on practical aspects of naturally fractured reservoirs.
Key points will be illustrated with data from reservoirs in Argentina,
Colombia, USA, Canada and Australia. The first example highlights
how a drastic gas production decline due to water encroachment in
a field producing from a naturally fractured reservoir was stopped
by producing more water from flank wells that had already watered-out
completely. The second case shows the importance of long periods
of swabbing. A key to proper evaluation of a fractured formation
is to swab at least the amount of mud lost during drilling operations.
Not doing so might lead to the abandonment of a reservoir that otherwise
could be commercial. Underbalance drilling helps to solve this problem
in many naturally fractured reservoirs. The third case demonstrates
how poor assumptions regarding porosity, permeability, and water
saturation cut-offs might lead to the improper testing and perforating
of a well. The fourth case present's problems associated with not
intersecting natural fractures. In these cases, a conventional test
might yield negative results, even if the matrix blocks are hydrocarbon
saturated. The fifth example highlights poor well testing designs
that are typically associated with very short flow and build-up
periods. The sixth example discusses poor completions. They are
the result of not drilling the wells thinking in terms of natural
fractures.
Roberto Aguilera,
Ph.D., is president of Servipetrol Ltd. in Calgary, Canada. He has
an undergraduate degree in petroleum engineering from the Universidad
de America in Bogota, Colombia, and a master's and doctorate in
petroleum engineering from the Colorado School of Mines. As a consultant
since 1978, he has conducted petroleum-engineering studies and has
presented his short course on Naturally Fractured Reservoirs throughout
the world.
Dr. Aguilera
has developed various techniques for evaluation of naturally fractured
reservoirs that have been published in leading journals of the oil
industry. He has authored and was a contributor to various books
including Naturally Fractured Reservoirs (PennWell, 1980 and 1995).
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Luis
H. Amaral
Department of Geophysics, Colorado School of Mines
Friday, February 16, 2001 Metals Hall, Green Center 4:00
p.m. |
| Shear
Wave Azimuthal Avo Analysis in Vacuum Field, New Mexico |
| During
its productive life, a typical oil field may have as much as 30% of
original oil in place, or 40-50% of its recoverable oil, bypassed
either due to reservoir heterogeneity or to producing techniques.
To recover this bypassed oil is not only a matter of better economical
exploitation of the reservoir, but represents also the access to a
most important energy source that would be lost. Reservoir characterization
is a multidisciplinary approach to reservoir development that searches
for a detailed definition of the reservoir geology and hydrocarbon
production and reservoir performance monitoring.
Reservoir Characterization
Project Phase VII acquired a time-lapse multicomponent 3D seismic
survey in Vacuum Field, New Mexico, for CO2 injection monitoring
and permeability, fluid and flow characterization.
Multicomponent
AVO analysis is a powerful tool for porosity and permeability estimation.
Plane-wave reflection coefficients are inverted for density, fracture
density and shear velocity contrasts, using a weighted least squares
technique. The interpretation of the AVO attributes estimates porosity
and permeability of the reservoir. Some examples from Vacuum Field
will be discussed, comparing the estimates obtained with data derived
from other sources, like well-log derived porosity, production statistics
and CO2 injection results. AVO attributes estimates, along with
time-lapse analysis, applied to CO2 injection monitoring and orientation
can increase Vacuum Field recovery ratio by 15%.
Luis H. Amaral is an MS candidate in the Department of Geophysics
at Colorado School of Mines, working in RCP Phase VII. He earned
his BA in geology for Universidade de Sao Paulo, Brazil, in 1982.
He joined Petrobras in 1983, which sponsors him, and worked in seismic
data acquisition and processing. He spent 8 years in Amazon; most
of them involved in operations in the jungle. When he left Brazil
for CSM, he was manager of geophysics for Sergipe-Alagoas basin,
in the northeast of Brazil.
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Keith
Hirsche
Friday, February 9, 2001 Metals Hall, Green Center 4:00
p.m. |
| Rock
Physics and Modeling in the Interpretation of Time Lapse Seismic Data |
Time-lapse
seismic monitoring involves the comparison of two or more surveys
acquired at different times over an active producing field. Spurious
differences between the seismic surveys, caused by seismic acquisition
and processing as well as seasonal variations in the near surface,
must be minimized to isolate and enhance the differences in seismic
signal that are caused by the production process. Once these production-related
changes are identified, they must be properly interpreted and calibrated
before the seismic information can be used to enhance the recovery
process.
Time-lapse seismic monitoring involves the comparison of two or more
surveys acquired at different times over an active producing field.
Spurious differences between the seismic surveys, caused by seismic
acquisition and processing as well as seasonal variations in the near
surface, must be minimized to isolate and enhance the differences
in seismic signal that are caused by the production process. Once
these production-related changes are identified, they must be properly
interpreted and calibrated before the seismic information can be used
to enhance the recovery process.
This calibration procedure was applied to the data from the Amoco/Aostra
Gregoire Lake steam flood pilot. Changes in reservoir temperature
estimated from the seismic data compare favorably with temperature
logs recorded at the observation wells and the interpreted distribution
of heated zones in the reservoir is consistent with the production
history of the field.
Keith Hirsche
started his geophysical career in 1977 as a line crew helper. Since
1982, he has worked in geophysical research and development for
GSI, Western and Hampson-Russell Software. During this time, his
primary research interests have included VSP, multi-component seismology
and the use of seismic data in reservoir characterization and monitoring.
Keith is currently employed at Hampson-Russell Software where he
is consulting on reservoir-related projects and supervising software
development for time-lapse seismic monitoring applications.
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Jay
Close
Burlington Resources, Inc.
Friday, February 7, 2001 Metals Hall, Green Center 4:00
p.m. |
| The
Past, Present and Future of Coal Gas: An Early 2001 Perspective |
Coal
gas, usually termed "coalbed methane" because gases from
coals are typically methane-rich, matured from being a hazard to coal
miners and a curiosity for petroleum companies prior to the middle
1980's into a standalone source of natural gas reserves and production
in the 1990's. In 1999, coal gas accounted for 7.7% and 6.3% of total
US natural gas reserves and production respectively (including Alaska).
The oil embargo of 1973-74 and ensuing economic hardships served as
a key impetus for the US Bureau of Mines and US Department of Energy
to begin investigation of alternative domestic energy sources, including
coal gas, in the middle 1970's. The Gas Research Institute (now the
Gas Technology Institute) also became a key sponsor of coal gas research
in the early 1980's. These organizations, along with a large number
of oil and gas companies, performed resource assessments of coal basins
throughout the United States and wellsite-based cooperative research
projects in the Black Warrior Basin, Alabama and the Piceance and
San Juan basins of Colorado and New Mexico. Application of several
traditional oilfield practices and many newly developed technologies,
along with the strong price incentive due to the IRS Section 29-tax
credit, led to widespread exploration drilling in coal basins throughout
the US in the 1980's and early 1990's. The industry was rewarded with
good success in the Black Warrior Basin and extraordinarily positive
results in the San Juan Basin. The desire to potentially replicate
San Juan Basin success motivated ongoing exploration throughout the
US and worldwide after expiration of the tax credit in 1992. These
efforts have been richly rewarded and include major discoveries in
the Uinta Basin (northeastern Utah), Powder River Basin (northeastern
Wyoming) and the Raton Basin, where delineation and development are
ongoing. In the international arena, exploration is being actively
pursued in Canada, the United Kingdom, and several areas in Europe,
Russia and the Ukraine, and China and Australia, amongst others. Coal
gas reserves and production will likely continue to increase, especially
as conventional reservoirs are progressively depleted. Carbon dioxide
injection into coals (sequestration) for enhanced recovery and CO2
disposal is being performed in pilot tests in the western US and western
Canada, and due to environmental concerns will quite possibly play
a key future role in the ongoing evolution of the coal gas industry.
Jay Close and his dissertation advisor, Russ Dutcher of Southern Illinois
University, investigated the coal gas potential of the Raton Basin
in southern Colorado and northern New Mexico from 1985 to 1988 with
Amoco Production Company. Afterwards, Jay went to work for Resource
Enterprises Inc. (REI), a subsidiary of Terra Tek, Salt Lake City,
where he was project geologist for the Gas Research Institute's Western
Cretaceous Coal Seam Project. The REI team published numerous technical
reports and papers on the results of wellsite-based coal gas formation
evaluation and completion engineering research, particularly in the
Piceance and San Juan basins of Colorado and New Mexico. REI was also
retained as a consultant on coal gas and coalmine degasification geology,
completion and reserve analysis projects for major and independent
operators and mining companies worldwide. Jay has been with Burlington
Resources since 1993. He worked on teams responsible for coal gas
and tight gas sandstone production optimization and reserve growth
in the San Juan Basin until 1998, when he transferred to the International
and Corporate offices in Houston. Jay then prepared a study on the
commercial potential of coal gas reservoirs throughout the world.
He is currently involved with the evaluation of coal gas opportunities
in western Canada. His recent assignments have also included sequence
stratigraphic mapping in eastern Algeria, and an assessment of exploration
and production opportunities in the Middle East. |
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James
F. Greenleaf, Ph.D.
Mayo Clinic, Basic Ultrasound Research Laboratory
Department of Physiology and Biophysics
Friday, February 2, 2001 Metals Hall, Green Center 4:00
p.m. |
| Ultrasound
Stimulated Vibro-acoustograpy |
|
Palpation is
routinely used for the evaluation of mechanical properties of tissue
in regions that are accessible to touch. This means of detecting
pathology using the "stiffness" of the tissue is more
than 2000 years old. Even today it is common for surgeons to feel
lesions during surgery that have been missed by advanced imaging
methods. Palpation is subjective and limited to individual experience
and to the accessibility of the tissue region to touch. It appears
that a means of noninvasively imaging elastic modulus (the ratio
of applied stress to strain) may be useful to distinguish tissues
and pathologic processes based on mechanical properties such as
elastic modulus. To this end many approaches have been developed
over the years. The approaches have been to use conventional imaging
methods to measure the mechanical response of tissue to mechanical
stress. Static, quasi-static or cyclic stresses have been applied.
The resulting strains have been measured using ultrasound or MRI
and the related elastic modulus has been computed from viscoelastic
models of tissue mechanics. Recently we have developed a new ultrasound
technique that produces speckle free images related to both tissue
stiffness and reflectivity. This method, termed "Ultrasound
Stimulated Vibroacoustography" (Science 280:82-85, April 3,
1998; Proc Natl. Acad. SCI USA 96:6603-6608, June 1999), uses ultrasound
radiation pressure to produce sound vibrations from a small region
of the tissue that depend on the elastic characteristics of the
tissue. The method can detect microcalcification within breasts,
and promises to provide high quality images of calcification within
the arteries. In addition, vibro-acoustography can detect mechanical
defects in certain prostheses such as artificial mitral and aortic
valves. The method may also be used in nondestructive evaluation,
and for underwater communication.
James F. Greenleaf
was born in Salt Lake City, UT, on February 10, 1942. He received
the BS degree in Electrical Engineering from the University of Utah,
Salt Lake City, in 1964, the MS degree in Engineering Science from
Purdue University, Lafayette, IN, in 1968, and the Ph.D. degree
in Engineering Science from the Mayo Graduate School of Medicine,
Rochester, MN, and Purdue University in 1970. He is currently Professor
of Biophysics and Associate Professor of Medicine, Mayo Medical
School, and Consultant, Department of Physiology, Biophysics, and
Cardiovascular Disease and Medicine, Mayo Foundation. He has served
on the IEEE Technical Committee for the Ultrasonics Symposium for
five years. He served on the IEEE Ultrasonics, Ferroelectrics, and
Frequency Control Society (UFFC-S) Subcommittee on Ultrasonics in
Medicine. Doctor Greenleaf was President of the UFFC-S in 1992 and
1993 and is currently Vice President for Ultrasonics. Doctor Greenleaf
has ten patents and is recipient of the 1986 J. Holmes Pioneer Award
and the 1998 William J. Fry Memorial Lecture Award from the American
Institute of Ultrasound in Medicine and is a Fellow of IEEE, American
Institute of Ultrasound in Medicine, and American Institute for
Medical and Biological Engineering. Doctor Greenleaf was the Distinguished
Lecturer for IEEE Ultrasonics, Ferroelectrics, and Frequency Control
Society (1990/1991). His special field of interest is ultrasonic
biomedical science, and he has published more than 291 articles
and edited or authored five books in the field.
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Terence
K. Young and Alexandre A. Gret
Deptartment of Geophysics, Colorado School of Mines
Friday, January 12, 2001 Metals Hall, Green Center 4:00
p.m. |
| Avalanche
Forecasting |
| Snow
avalanches kill an average of six people each year in Colorado, more
than in any other state. Last season Colorado had eight avalanche-related
fatalities. The first fatality for this season occurred during the
recent holiday period. Avalanches primarily affect people skiing,
snowboarding, or pursuing other recreation in the backcountry, and
motorists travelling over Berthoud, Red Mountain, Loveland and other
Colorado mountain passes.
Last summer,
the Colorado Avalanche Information Center (CAIC) provided financial
support to fund undergraduate research in avalanche forecasting.
Two students in the Department of Geophysics analyzed weather and
avalanche-occurrence data from Berthoud Pass spanning the twenty-four
year period from 1970 to 1994 and implemented a nearest-neighbor
algorithm to aid avalanche forecasters this season.Three other undergraduates
continued the research program during fall semester, extending the
nearest neighbor algorithm and doing a preliminary analysis of data
from Red Mountain Pass.
This presentation
consists of two parts. The first part will include a brief overview
of avalanche forecasting and a review of work done at Mines in collaboration
with the CAIC. The second part will feature aspects of the Swiss
avalanche-forecasting program, which is generally recognized as
the most advanced in the world.
Terry Young
is Professor and Head of the Department of Geophysics at Colorado
School of Mines. Prior to coming to Mines last January, Terry spent
eighteen years in the petroleum industry where he managed geophysics
research for Mobil Corporation and led an exploration team in the
U.K. sector of the North Sea. Terry earned his B.A. from Stanford
University, and his M.S. and Ph.D. from Colorado School of Mines.
Alexandre Gret
is a Ph.D. candidate in the Department of Geophysics at Colorado
School of Mines. Alex earned his M.S. at ETH Zurich. During his
military service, Alex participated in the Swiss avalanche-forecasting
effort by making observations in the field and transmitting data
back to a central site for processing and analysis.
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Steve
Pride,
University of Rennes, France
Friday, January 14, 2001 Metals Hall, Green Center 4:00
p.m. |
| Electroseismic
Wave Phenomena |
| When
seismic waves propagate through the near surface layers of the earth,
they generate electromagnetic fields through an electrokinetic coupling
mechanism. The opposite effect by which EM fields generate elastic
waves is also possible and may even be the more efficient way to exploit
the coupling for exploration purposes. A first goal of this talk is
to simply present data collected by the author and his collaborators
in France that demonstrate the existence of the seismic to EM conversions.
Data from other research groups will also be presented. A second goal
is to discuss in some detail the physics of the coupling starting
at molecular scales and working up to governing equations that control
the coupling at the seismic-wavelength scale. Numerical simulations
of the seismic/EM disturbances that are based on such equations will
be shown. The overriding objective of the presentation is to lay out
both the problems and possibilities of using the electroseismic coupling
as an exploration tool.
Steve Pride
received his B.A. in geophysics from the University of California
at Berkeley (1985) and his Ph.D. from Texas A&M (1991). After
a post-doc at the Earth Resources Laboratory at MIT (1991-1993)
he accepted a tenured academic post (called ``maitre de conferences'')
at the Institut de Physique du Globe de Paris where he taught from
1993-1997. Since 1997 he has been a professor of geophysics at the
University of Rennes in France where he lives with his wife and
two young children. He is currently a visiting professor at Stanford
University through to August of 2001. His research interests are
in all aspects of rock and crustal physics. Recent projects include
such diverse subject areas as two-phase flow in porous media, crack
localization during brittle fracture, theory of poroelasticity,
electrokinetic phenomena in the crust, and the electrical conductivity
of shaly sandstones.
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