|
Inspirations from Hard History
The following are answers to questions submitted by Barry Morgan, a British-born journalist that lives in Accra (Ghana),
for Upstream weekly newspaper. Upstream is an international
oil and gas publication that is published in Oslo, Norway and serves the petroleum
industry. This interview was used to prepare a three-part article
that appeared in the January 27, 1997 issue of Upstream.
Upstream:What do think of the technological state of play in the
oil industry at the moment, and what changes in R&D management/ policy would you like
to see at the top? In the US and elsewhere? In Nigeria / Africa?
Emeagwali:
The oil industry has been relatively progressive in adopting new technologies that will increase its profit. For example, one in ten supercomputers have been purchased by the petroleum industry and used to discover and recover more oil and gas.
However, at the big oil companies, research and development is conventional, rational and mechanistic. My research approach is multidiscipinary, unorthodox, intuitive and nature-inspired. For example, to determine better ways of recovering and discovering more oil, scientists in the petroleum industry would focus narrowly on their petroleum reservoir simulator. In contrast, I will use my nature-inspired to study evolution of plants over the past 400 million years and use the optimized branching structures of trees to design new algorithms and computers that can be used to discover and recover more oil.
African countries cannot afford to spend billions of dollars on research and development. Instead, it will be more cost-effective for African countries to invest in the transfer of technology developed in the more affluent countries.
Upstream:
Update (to your knowledge)
on current applications of the breakthrough you worked
on? What's been done, what should have been done? You
see, I need some new event/ enquiry or insight
to hang the piece on, plus some salient detail
on the nature/commerciality of the work. Do
you recommend I contact Shell Oil or some R&D outfit?
Emeagwali:
The supercomputer industry is a billion dollar
industry and the oil industry have purchased ten
percent of all supercomputers and used them to discover
and recover more oil and gas. The fact that the
petroleum industry now invests heavily in massively
parallel computer technology is proof that the
technology is accepted and useful.
Supercomputers of the 1980's were based on vector
processor technology. At that time, IBM, Cray and
other leading computer companies believed that it
would be impossible to solve practical problems with
massively parallel computers. In November 1989, the
president of Cray Research Inc., the world's largest
supercomputer company, said: "We can't find any real
progress in harnessing the power of thousands of
processors" (The New York Times, 11/29/89). One month
later, I completed a 1057-page report that provided a
detailed step-by-step method for harnessing the power
of the Connection Machine computer with 65,536
processors to simulate oil reservoirs.
That triumph earned me the 1989 Gordon Bell Prize,
considered the Nobel Prize of the computing field.
The Gordon Bell Prize Committee wrote (IEEE Software,
May 1990):
"The amount of money at stake is staggering. For
example, you can typically expect to recover 10 percent
of a field's oil. If you can improve your production
schedule to get just 1 percent more oil,
you will increase your yield by $400 million
(at $20 per barrel in a 20-billion-barrel field)".
The results made the headlines in newspapers and
magazines in several countries and, as a result,
the oil industry was alerted that massively parallel
computers can be used to recover more oil.
In my 1057-page report describing my Gordon Bell
Prizewinning work, I made many surprising discoveries
and set several world computational records including
(1) performing the world's fastest computation of 3.1
billion (3,100,000,000) calculations per second; (2)
solving the largest partial differential equations with
8 million grid points; (3) achieving an unprecedented
parallel computer speedup of 2048; (4) formulating the
first pseudo-time approach in reservoir modeling; (5)
deriving a new set of reservoir partial differential
equations that is vectorizable, parallelizable, and
surprising, fifty times less computation-intensive than
the original formulation; (6) proving that the use of
only Dirichlet type boundary conditions yields more
accurate numerical solutions in the vicinity of
petroleum production wells located near the boundary
and is therefore suitable for avoiding the coning
problems caused by the high velocity of converging
flows in the vicinity of wells; and (7) discovered
the analogy between Darcy's equations used in petroleum
reservoir simulations and geostrophic equations used
in weather forecasting.
Upstream:
Could you explain the
"Dirichlet" stuff and the other technical
petroleum breakthroughs/challenges in nonspecialist
language?
Emeagwali:
Basically, there are two types of governing equations
that can be used in reservoir modeling: the
parabolic equations derived from Darcy's Law
which exclude the inertia forces and the hyperbolic
equations which include the inertia forces.
Darcy's Law have been exclusively used since 1856 to
model porous media and reservoir problems. I rejected the use
of Darcy's Law.
I was not the first to denounce the use of Darcy's
Law. German mathematician Paul Fillunger strongly
denounced the use of
Darcy's Law in the 1930's and publicly criticized
Karl von Terzaghi, who is widely
regarded as
the founder of modern soil mechanics, for using
Darcy's Law instead of the complete hyperbolic
equations that I used in my work. The scientific
debate between those two men later turned into
personal attacks that lasted for several years.
To resolve the Fillunger-Terzaghi, a
board of inquiry was appointed to determine which of
them had the correct equation.
In early March 1937, the board ruled that Fillunger
was wrong. The resulting public humiliation forced
Fillunger and his wife to
commit suicide.
After Fillunger's death, Gerhard Heinrich was the only
investigator that pursued Fillunger's ideas while
Maurice Biot and several
other investigators pursued von Terzaghi's ideas. After
several years, Fillunger's original
ideas and Heinrich's articles became largely
forgotten while von Terzaghi's ideas and the articles
of Biot became very widely accepted.
To be fair to von Terzaghi, there were
several good reasons for using Darcy's Law in the 1930s.
First, Darcy's Law is similar to other better
understood laws such as the
Fourier's Law of heat transfer, developed fifty years
earlier than Darcy's Law, Ohm's Law of electric
current,
and Fick's Law of diffusion. The Fourier's
Law states that the rate of heat transfer from a
higher temperature point to a lower temperature point
is approximately inversely proportional to the
distance between these two points. The Ohm's, Fick's,
and Darcy's Laws can be similarly stated. Because these
four laws are identical they have similar governing
equations. Therefore, using Darcy's Law allowed reservoir
modelers to borrow analytical techniques
from these other more advanced fields. For example,
analytical solutions of the classical Fourier's heat
equation have been known for several special cases since the
second half of the nineteenth century.
However, sixty years later, Darcy's Law is now obsolete
but convincing reservoir modelers to abandon this law
will be like convincing the Pope to reject the
standard catholic doctrine.
The idea of rejecting
Darcy's Law occured to me when I observed that the flow pattern within an oil
reservoir is similar to that within many geophysical
problems such as the oceans and atmosphere. For
example, many reservoir, oceanic and atmospheric
flows are
nearly horizontal in the sense that the horizontal
velocity components are about 100 times larger than
the vertical velocity. These horizontal flows are
controlled by the pressure gradient, Coriolis, and
gravitational forces.
Therefore, it does not come as a surprise that
meteorologists and reservoir modelers independently
invented identical equations. Meteorologists call
theirs geostrophic wind equations while
reservoir modelers
call theirs Darcy's equations. However,
meteorologists have abandoned
geostrophic wind equations
which are not valid near the equator while reservoir
modelers still use the Darcy's Law which are not
valid near
pumping wells with turbulent flow regime.
I also discovered that if the viscous and Coriolis
forces are equal, then Darcy's and geostrophic wind
equations will be exactly identical. The implication of my
discovery is that the computational issues encountered
in solving these problems are not
application-dependent as is
widely believed and should be studied
as a truly multidisciplinary problem by scientists
from different fields so that the resulting
cross-fertilization of ideas will lead to technology
transfer from one field to the
other.
With the new reservoir equations that I proposed,
it will not be necessary to compute the velocity
distribution
since it will be explicitly available from the
solution of the new equations. As a result, the reservoir
simulation will be more accurate when the flow-rate
is high near injection and production wells.
Reservoir models has taken hundreds of man-years and
tens of millions of dollars.
Because of these huge prior investments it will be
impractical to discard these models. Consequently, the
approach that can be taken will be to modify existing
models to incorporate the additional physics used
my new equations.
Upstream:
I'd like to know what companies
you've dealt with, what their interest has
been specifically and, currently, if they are progressing or
under-utilizing the techniques you developed. Is it a successful
'revolutionary' story or are there corporate constraints and vested
interests slowing applications? Do you recommend I contact
Shell Oil or some R&D outfit?
Emeagwali:
When my results first made the headlines in early 1990, the
Research and Development units of Mobil, Chevron, Schlumberger,
and Amoco contacted me for additional
information and/or offered to hire me to work for them. I rejected their offers
because (1) I was not available, (2) I wanted to pursue more unorthodox and
innovative line of research, and (3) programming a
65,000 processor computer to simulate an oil reservoir, one of the 20 most
difficult problems in the computing field,
was a gut-wrenching experience for me and I needed a
break from that line of research.
Generally, oil companies consider their reservoir simulators to be
proprietary and therefore are reluctant to divurge details about them
that could give other companies an edge over them.
For example, I typed the phrase "massively parallel
petroleum reservoir simulation" in the Internet search engine called
the webcrawler and the
first 50 results were references to my research alone.
Since the petroleum
industry purchased 10 percent of all massively parallel
supercomputers, my conclusion is that either they are keeping
their work a secret or that they are not making enough progress
in the programming of next-generation supercomputers.
A new initiative to commercialize massively parallel
petroleum reservoir simulation is called
the "Natural Gas and Oil Technology Partnership." This initiative
is a collaborative effort between the United
States Department of Energy's (DOE) national laboratories,
computer vendors and major oil companies.
As part of this initiative, Cray Research, Los Alamos National Laboratory and Amoco
Production Company are jointly developing a three-dimensional
reservoir simulation package that will run on a massively parallel
computer.
Upstream:
Have you had (enough)
feedback? Continuing oil sector interest in your
work?
Emeagwali:
I received a flood of telephone calls from several oil companies when my discoveries were announced
and I discussed my work with many researchers in the industry.
Upstream:
Are you actively engaged now in a related
field/ close to conclusion?
Emeagwali:
Presently, I am working on nature-inspired research
and I will be interested in applying my new discoveries
to the petroleum industry. Recently, I formulated the
theory of tessellated models for parallel computing and
introduced the concepts of parallel data spaces. The
latter achievements enabled me to demonstrate that
sphere packing and fast calculations needed to recover
and discover more oil are related subjects.
My new nature-inspired discoveries are so wacky that
I might be called crazy. For example, I have
discovered that algorithms, software and computers can
be enantiomeric --- that is, have left- and right-handed
versions like shoes. I will like to apply these ideas
to practical problems in the petroleum industry.
Also, I am currently using a lot of geometrical figures to design algorithms and computers.
Upstream:Have same/ other people
asked you to do more? Has your work been
hijacked/ soft-pedalled/ shelved or underutilized
for the benefit you intended?
Emeagwali:
My goal was to demonstrate that massively parallel
computers can be used to discover and recover
additional oil and gas. Since ten percent of massively
parallel computers are now purchased by the petroleum
industry, I do not feel that my ideas and work
were underutilized.
On the other hand, as a black scientist, I frequently observe a tendency for
white scientists to request credit for my inventions even though
they never made any contribution to my work. However, this phenomenon is
not unique to me.
Historically, whites have claimed credit for
many important technological contributions made by Africans. For example, in the
antebellum South, an African slave named Ned invented the cotton scraper machine
but his owner, Oscar Stuart, convinced the United States patent to deny Ned the
patent on the grounds that Ned is not a citizen. Stuart claimed that the patent
belonged to him since Ned is his slave. Both Ned and Oscar Stuart were denied the
patents to the cotton scraper machine and Ned was denied an opportunity to profit from
his widely-used invention.
The black explorer Matthew Henson was the first man to reach the North Pole (April 6, 1909) but the credit was initially
given to his white co-explorer, Peary, who arrived at the
North Pole 45 minutes later.
The slave Onesimus taught his owner, a medical doctor, the African medical procedure of small pox innoculation.
Onesimus' idea was dismissed as quackery and African witchcraft. But when it was discovered that it
worked the credit was assigned to his owner who also published it in a medical journal.
I could go on forever listing the names of African inventors and
scientists who were denied credit for their discoveries
and inventions.
Upstream:
What are the next major
challenges in your field that realistically
could/should impact upstream oil sector?
Emeagwali:
Recovering and discovering additional oil will require
a mix of technologies, including faster computers that
can perform one trillion (1,000,000,000,000)
calculations per second. A trillion calculations per
second will provide the horsepower needed to more
accurately discover and recover oil. In less than two
years, the trillion calculation milestone should be
achieved by using the same massively parallel
technique that I used to win the 1989 Gordon Bell
Prize.
Upstream:
What inspired you to write
the "reservoir (simulation) recovery" program?
Emeagwali:
I studied the United States government list's of the
20 most difficult problems in the computing field and
discovered that the list included reservoir simulation.
I selected reservoir simulation because recovering
additional oil is important to oil-producing countries,
including my native country of Nigeria.
Upstream:What is your intellectual
forte? dogged perseverance, lateral thinking,
instinctive feel for where a particular path of
enquiry could lead, stubborn determination to prove
a thesis?
Emeagwali:
I have the four traits that you mentioned and, in
addition, I am considered an unorthodox researcher with a
gift for generating new ideas. For example, it required dogged perseverance on my part to acquire degrees and expertise in five different fields.
It required lateral thinking to integrate my training in mathematics, science, engineering and computer
science --- a skill that is necessary to implement reservoir simulators on massively parallel computers.
In the 1980's, it was generally believed that vector technology is best for designing supercomputers while I believed that massively parallel technology will lead to faster supercomputers. My belief was based on my instinctive feel that I could implement reservoir simulators on massively parallel computers.
Stubborn determination is needed to continue pursuing a line of enquiry which other scientists considered crazy. Because my proposal to use massively parallel computers for reservoir simulation was considered foolish, I could not find another researcher that would collaborate with me or an organization that would sponsor my work. Because of my stubborn determination, I refused to give up and I ended up solving the problem alone and winning the Gordon Bell Prize which in the past was won by teams of up to 18 scientists from corporations and national laboratories.
However, I do not believe that creativity is immutable
and genetically encoded upon renown scientists. An individual
can boost her creativity by remaining motivated, curious, openminded
and imaginative.
Upstream:Have you benefited financially - enough?
Emeagwali:
I have been dubbed the "Bill Gates of Africa"
and even heard many rumors that I am worth $200
million dollars. As a result, I received several
letters
requesting financial donations to various
causes. My high school classmate, Paul Okonkwo,
told his friends: "The Philip Emeagwali I know is
more interested in winning the Nobel Prize than in
becoming rich." I agree and will like to point out
the most renown scientists and inventors are not driven
by the desire to be rich and famous.
Upstream:
How would you describe the way
your mind works?
Emeagwali: I am a lateral and unorthodox thinker who draws lots
of analogies from natural observations.
The new problem-solving approach of designing computer
networks by observing
and emulating patterns in nature is one that I
pioneered. Being born and
raised in a low-tech African environment enabled me
to have a greater appreciation of the usefulness of
drawing design inspirations and ideas from natural
analogies. While my American- and European-born
colleagues depend on a rational and mechanistic
approach to problem-solving, I depend on both a
logistic and inspirational approach to problem-solving. I believe that Mother Nature is a wizard problem-solver which has used trial-and-error approaches, over hundreds of millions of years of evolution, to derive the
most optimal solutions.
Furthermore, the trial-and-error approach of nature
yields more solutions than the logical approach used
by humans. As a result, drawing inspirations from
nature has enabled me to discover several computer
networks. However, after designing from nature, I use
advanced mathematical methods to analyze my inventions.
Upstream:
Have you passed this on to your
children; how do you encourage them?
Emeagwali:
I encourage my son to read a new book each day.
Upstream:
How do you define yourself,
as a scientist first, a mathematician, an Ibo man?
Emeagwali:
I use others definition of myself to define myself.
People define me according to their own experiences
and what they could relate to. Among the Igbos,
Nigerians, Africans and African-Americans, I am
defined as an Igbo, Nigerian, African and
African-American scientist, respectively.
Upstream:
What specifically do you
retain, value, want to pass on from your "Anambra"
background?
Emeagwali:
Many Nigerians have attributed my success to the
Igbo's can-do spirit which enables them to start
from
very humble beginnings and rise to the top. I will
give a few examples. Olaudah Equiano was kidnapped
and sold into slavery in an American plantation. Yet,
he overcame the tremendous brutality of that
institution to author a book (The Interesting Narrative
of Olaudah Equiano or Gustavus Vassa the African, 1789)
that was instrumental in the dismantling of the
institution of slavery. Jaja of Opobo rose from being
a slave to become one of the greatest African kings.
Dick Tiger, rose from picking discarded bottles to
become three-time world boxing champion and one of
the greatest boxers of all times. These three
individuals had the Igbo's spirit of hardwork,
perseverance, determination and innovation.
As a black man living in America, my son is going
to encounter racism which will deny him the opportunity
to contribute as much as he can to society. I want
my son and other young children to be inspired by
the fact I was a high school dropout and ex refugee
who overcame racism and made scientific contributions
that benefitted mankind.
Upstream:
Do your children speak Ibo?
Emeagwali:
Because my wife is a non-Igbo speaker
(African-American) and my son did not hear daily
conversations in Igbo, it was difficult for him to
learn the language. However, I have taught him a few
Igbo words and phrases.
Upstream:
Do you have association
with American Associatin of Blacks in Energy (AABE)
which has been spearheading reform of the seven
sisters?
Emeagwali: No, I do not have any association with AABE.
Upstream:
Do you do mentoring?
Emeagwali:
My wife and I lead an annual science workshop for
inner city youths that receives lots of media coverage. My website
(emeagwali.com) is used as a teaching
resource in American classrooms and I end up mentoring
some of these students by electronic mail. The Mayor of Saint Paul,
Minnesota appointed me to serve on his Shelter Board
that serves the homeless. I serve on the Board of Directors
of several organizations.
Upstream:
Do you have a
political or economic ideology?
Emeagwali:
I am concerned about the disparity between the
living standards in developed and developing
countries of the world. I am bothered by
discrimination based on race, nationality,
culture, sex, and religion; human rights violation
and torture of political prisoners; and oppression
of refugees and migrant workers.
Upstream:
What are your priorities
in life?
Emeagwali:
I value spending time with my family;
community activities that help others; and making
positive scientific contributions to society.
Upstream:
What books do you/are you
reading?
Emeagwali:
As a pre-teenager, I only read mathematics books. As a 13-year old
dropout and Biafran war refugee, I could not find any mathematics
books to read so I read classics such as Weep Not Child (James Ngugi), Cry the
Beloved Country (Alan Paton) and Up From Slavery
(Booker T. Washington). Learning about other cultures from these
books expanded my horizons.
As an adult, I enjoy reading the works of African writers and
writers of African descent such as Things Fall Apart
(Chinua Achebe), The Destruction of Black Civilization
(Chancellor Williams), and the important Afrocentric books.
Upstream:
Which have inspired you most?
Emeagwali:
I was inspired when I read Malcolm X's account (The
Autobiography of Malcolm X) of his struggles as a
young black man in America. I was moved by Nathan
McCall's story (Make Me Wanna Holler) which
is a first-hand account of the black rage in American
inner cities and socio-economic underclass.
I was inspired by the 18th century letters of the
black mathematician Benjamin Bannekar to former
U.S. president Thomas Jefferson. Bannekar's amazing
mathematical calculations impressed and convinced
Jefferson that Africans possess the same
intellectual capacity as whites and therefore
should be freed from slavery.
Senegalese historian Cheikh Anta Diop's classic
book "The African Origin of Civilization," will
influence
my current research on how the Greeks learned
mathematics from Africans.
Upstream:
Any vices you'd like to
confess?
Emeagwali:
I am extremely demanding on my self and work
very long hours. However, I am not an obsessed
scientist; my interests are varied and my life is
balanced. During the past few weeks, I saw concert
performances by Jimmy Cliff, Chaka Khan, Tabu Ley
Rochereau and King Sunny Ade.
Upstream:
Did you feel (have you always
felt) encouraged, or did you find obstacles
(individual/corporate) were placed in your way?
Emeagwali:
Yes, I had lots of obstacles put in my way but I have managed to overcome them.
Upstream:
What sort of role do you
see for yourself in five, ten years time? (sorry
about this one)
Emeagwali:
As long as I am making important discoveries, I will
continue conducting research. Otherwise, I will
change careers to a field that will use some of the
transferable skills that I acquired as a
scholar/scientist.
Upstream:
Do you see yourself as a
role model (for whom)?
Emeagwali:
I receive daily letters from young people of African
descent who tell me that I have inspired them and
that I am their role model. In that sense I see myself
as a role model
Upstream:
What do you like (most/least like/respect)
about living in the US?
Emeagwali:
American cities are ethnically diverse and exciting.
Technologically, the United States is ahead of any
country in the world which helps me keep abreast of
the latest developments in the computing field.
What I dislike about the United States is that racism
is pervasive and deeply ingrained into Americans. For
an ambitious black professional, the United States is
one of the worst countries to live in. For example,
white males are 35 percent of the population but hold
95 percent of the top level and best-paid jobs. Many
African Ph.D. degree holders are driving taxi cabs and
the few who found professional jobs complain that
they are supervised by less educated and experienced
white males.
Upstream:
Would you/will you like to live
anywhere else (family ties apart)?
Emeagwali:
Africa.
YES, I WOULD LIKE TO POST
MY COMMENTS.
Philip Emeagwali's
Website
Click on this
icon to
Click on emeagwali.com for more information.
|