SLB and NVIDIA Team Up to Enhance Energy Sector with Generative AI

Global
energy
technology
company
SLB
has
announced
a
significant
milestone
in
its
ongoing
collaboration
with
NVIDIA.
The
two
companies
are
set
to
develop
and
scale
generative
AI
solutions
tailored
for
the
energy
industry,
according
to
NVIDIA
Technical
Blog.

Advancing
AI
Solutions
for
Energy

SLB
and
NVIDIA’s
partnership
aims
to
accelerate
the
development
and
deployment
of
energy-specific
generative
AI
foundation
models.
These
models
will
be
integrated
across
SLB’s
global
platforms,
including
the
Delfi
digital
platform
and
the
new
Lumi
data
and
AI
platform.
The
initiative
leverages
NVIDIA
NeMo,
part
of
the
NVIDIA
AI
Enterprise
software
platform,
to
create
custom
generative
AI
that
can
operate
in
data
centers,
cloud
environments,
or
at
the
edge.

The
collaboration
focuses
on
building
and
optimizing
AI
models
to
meet
the
unique
requirements
of
the
data-intensive
energy
sector.
This
includes
applications
in
field
planning,
development,
production
operations,
and
data
management.
By
doing
so,
the
partnership
aims
to
unlock
the
full
potential
of
generative
AI
for
energy
domain
experts—researchers,
scientists,
engineers,
and
IT
teams—enabling
them
to
engage
with
complex
technical
processes
in
innovative
ways
to
achieve
higher
value
and
lower
carbon
outcomes
across
the
energy
value
chain.

Extending
a
15-Year
Partnership

SLB
and
NVIDIA’s
collaboration
dates
back
to
2008,
when
they
first
utilized
NVIDIA
GPUs
for
subsurface
imaging
and
reservoir
simulation.
Over
the
years,
the
companies
have
optimized
each
generation
of
SLB’s
high-performance
computing
technologies,
currently
available
on
its
Delfi
platform
with
the
latest
NVIDIA
accelerated
computing
platform.

In
addition
to
their
bilateral
efforts,
SLB
and
NVIDIA
have
partnered
with
Dell
Technologies
to
deliver
HPC
and
AI
solutions
to
energy
customers.
These
solutions
include
offerings
for
SLB
Intersect,
Omega,
and
Delfi.

Seismic
Foundation
Models
and
AI
Copilots

Energy
companies
are
increasingly
turning
to
generative
AI
to
enhance
current
and
future
energy
systems,
balancing
energy
production
with
decarbonization
goals.
Industry-specific
generative
AI
solutions
provide
new
insights
from
enterprise
data,
helping
to
solve
complex
challenges
swiftly.

NVIDIA’s
accelerated
computing
and
software
provide
a
comprehensive
platform
for
developing
and
deploying
generative
AI
capabilities.
SLB
recognizes
the
benefits
of
using
NVIDIA
NIM
microservices
to
optimize
performance
and
efficiency
for
enterprise-scale
AI
deployments.
This
allows
SLB
customers
to
seamlessly
integrate
NeMo
into
their
technical
workflows,
improving
performance,
optimizing
processes,
and
driving
innovation.

At
the
recent
SLB
Digital
Forum
2024,
SLB
showcased
its
ongoing
projects,
including:

• A
  seismic
  vision
  transformer
  foundation
  model
  designed
  to
  accelerate
  seismic
  data
  processing
  and
  enhance
  productivity
  for
  researchers
  and
  scientists
  in
  exploration
  geophysics.
• A
  coding
  copilot
  utilizing
  a
  fine-tuned
  large
  language
  model
  (LLM)
  trained
  on
  SLB
  internal
  data
  to
  significantly
  improve
  the
  customer
  experience
  of
  software
  tools.

These
developments
aim
to
facilitate
ease
of
use
for
reservoir
engineers
and
geoscientists,
accelerating
decision-making
processes
with
real-time
insights
from
concurrent
AI
models.

Conclusion

Generative
AI
offers
energy
companies
the
potential
to
enhance
exploration,
production,
and
delivery
of
energy
resources
through
sustainable
operations.
SLB’s
custom
generative
AI
models,
developed
using
NVIDIA
NeMo
and
NIM,
aim
to
assist
scientists
and
engineers
in
leveraging
enterprise
data
for
subsurface
understanding.
This
AI-driven
approach
promises
breakthroughs
in
customer
engagement,
operational
efficiency,
and
revenue
growth.

For
more
details
on
the
SLB
and
NVIDIA
collaboration,
visit
the

NVIDIA
Technical
Blog.

Image
source:
Shutterstock