HPC Requirements of AI and Data Analytics for Exploration
Thursday, May 13, 2021
11:00 am - 12:00 pm
About the Event
This talk will give a brief overview of applications of artificial intelligence (AI), machine learning and data analytics (DA) methods for different exploration and production problems. We will focus on the HPC requirements (both in compute and memory intensive operations) applications in several areas, such as subsurface imaging and reservoir simulation. In addition, relevant topics such as Big Data, Soft Computing, Natural Language Processing, Man-Machine Interface and Deep Learning will be highlighted. Selected case histories from each of the main stages of the E&P process, namely exploration, drilling/development and production/EOR using AI-DA will be highlighted. The talk will conclude with introducing a new program at UH that focuses on Artificial Intelligence Machine Learning and Data Analytics for Energy Exploration and Production or AIM-DEEP. We will demonstrate the value proposition of AIM-DEEP based on its multi-disciplinary nature and its focus on the academic and industry alliance, complemented by government funding.
About the Speaker
Fred
Aminzadeh
is
a
professor
of
Petroleum
Engineering
at
the
University
of
Houston
and
director
of
its
Artificial
Intelligence
Machine
Learning
and
Data
Analytics
for
Energy
Exploration
and
Production
(AIM-DEEP)
program.
He
serves
on
the
Advisory
Board
of
DOE/NETL’s
SMART
Initiative.
He
is
also
president
of
FACT
(FACT-Corp.com)
Aminzadeh
has
over
30
years
of
experience
in
industry
and
academia.
His
technical
expertise
includes:
Machine
Learning,
AI,
Pattern
Recognition,
Signal
Processing,
Big
Data,
3D/4D
Seismic,
Reservoir
Monitoring
and
CO2
Sequestration.
He
served
as
the
president
of
the
Society
of
Exploration
Geophysicists
(2007-2008)
and
represented
SEG
at
the
Unconventional
Resources
Technology
Advisory
Committee
(URTAC)
and
the
SPE
Reserves
Evaluation
Committee
(SPPE).
He
is
Fellow
of
IEEE,
a
Member
of
the
Russian
Academy
of
Natural
Sciences,
and
an
honorary
member
of
Azerbaijan
Oil
Academy.
He
received
Society
of
Exploration
Geophysicists
(SEG)
Honorary
Membership
in
2018
and
Society
of
Petroleum
Engineers
(SPE)
Western
Region
Reservoir
Characterization
and
Formation
Evaluation
Awards
in
2014
and
2015.
He
previously
worked
in
technical
and
management
positions,
including
as
a
professor
of
Petroleum
and
Electrical
Engineering
at
the
University
of
Southern
California
and
executive
director
of
its
Global
Energy
Network
(gen.usc.edu)
and
Reservoir
Monitoring
Consortium.
He
was
manager
of
geophysical
technology
at
Unocal
(now
Chevron).
He
was
also
president
and
CEO
of
dGB-USA
(dgbes.com)
and
member
of
the
technical
staff
at
Bell
Laboratories.
He
holds
four
U.S.
patents,
with
another
five
pending.
He
has
authored
15
books
and
over
400
publications
spanning
wide
areas
of
expertise.
- Location
- Online
- Cost
- Free
- Contact
-
Martin
Huarte
Espinosa
Associate Director
HPE Data Science Institute