The Visual Computing Company

PROFESSIONAL VISUALIZATION

GAMING

IP GRAPHICS CARDS SYSTEMSGPUs & SOCs

HPC andDATA CENTERS

SMART DEVICES

Two Decades of Visual Computing

How GPU Accelerated Computing Improves Visualization in the E&P

Workflow

Visualization Computation

Remote VisualizationCloud

in Oil & Gas

Add GPUs & Accelerate

GPUCPU

Speedup

Seismic Processing & Imaging

Seismic Interpretation

ReservoirCharacterization

Engineering & Construction

WellPlanning Drilling

Reservoir Simulation

Economics & Trading

NVIDIA: Strategic Across the Workflow

Production

NVIDIA: Strategic Across the WorkflowSeismic Processing

& ImagingSeismic

InterpretationReservoir

CharacterizationEngineering & Construction

WellPlanning Drilling

Reservoir Simulation

Economics & TradingProduction

SeismicAcquisition

SeismicImaging Interpretation

ReservoirCharacterization Petrophysics

WellPlanning Drilling

Reservoir Simulation Economics

GPU computing is transforming E&P workflow

Seismic Processing & Imaging

Images courtesy of Schlumberger

Accuracy & Confidence in Subsurface Imaging

Salt

Seismic Section Before RTM

Source: CGG-Veritas

Same Seismic Section with RTM

Salt

Blurred image due to salt dome above

Clear image showingthe trapped hydrocarbons

GPUs for Computation & Visualization

GPU with Original Algorithms

GPU with Advanced Algorithms

GPU with Original Algorithms

GPU with Advanced Algorithms

Courtesy: Paradigm

SeismicAcquisition

SeismicImaging Interpretation

ReservoirCharacterization Petrophysics

WellPlanning Drilling

Reservoir Simulation Economics

Interpretation

GPU computing is transforming E&P workflow

Images courtesy of Schlumberger

Interactive Interpretation, Modeling and Simulation Today

INTERPRETATION + ATTRIBUTES CALCULATIONS

NO WAIT INTERPRETAITON

Exploration & Production purpose

Which global basins offer the most promise?

Which blocks on those basins must bid?

Where on the block should you drill?

What should be expected from a particular well?

How can we safely speedup time-to-first-oil?

Seismic Interpretation

• How to work on data in increasingly larger volumes?• How to converge compute and interactive graphics cycles?• How dispersed work teams collaborate?

• Use same data, different view-points and different interactions• How to achieve high visual quality and qualified user experience?• How to scale from desktops to large-resolution displays?• How to improve time-to-decision!

Challenges

Difficulties in New Oil – WAZ and MAZ

Distorted Signal

Wider Angle Streamers

Salt Body

• Underwater salt is like melted hot glue and it distorts the seismic signal

• WAZ allows streamers to shoot at a wider angle and circumvent the salt body

• MAZ combines several sources at varying angles for better subsurface illumination

• New oil is going to be discovered in more complex and challenging locations such as Arctic, Deep Water, Desert and these all are near or subsalt reservoirs

Intelligent GPU job allocationA Single Unified Driver Full ISV Application CertificationsA range of OEM Workstations

Parallel Computing

NVIDIA® MAXIMUS™

Visual Computing

Deskside Supercomputer

NVIDIA® MAXIMUS™Workstation

Render

FFT Filter+

FFT Filter Time = 1/10 y

Render Time = x

FFT Filter Time = yRender Time = x

Render FFT Filter (CPU)

Reinventing E&P Workflow

Render2

FFT Filter2

+Render3

FFT Filter3

+Render4

FFT Filter4

+

TraditionalWorkstation

NVIDIA® MAXIMUS™Workstation

TraditionalWorkstation

Reinventing E&P Workflow

Regional StudiesChallenges• New subsalt discoveries and mature fields• Increasing use of 3D Pre-stack data• New surveys: Wide Azimuth, OBS, time lapse

0

100

200

300

400

500

600

700

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

Prop

sect

Vol

ume

(TB

)

Projected Data Volume Growth

NVIDIA indeX™

Cluster-based graphics infrastructure• Real-time manipulation of huge datasets• Combine volume and surface rendering• Project size scales with cluster size• Interactive collaboration with global teams

Depth-correct transparency rendering

Depth-correct transparency rendering

Depth-correct transparency rendering

Depth-correct transparency rendering

Depth-correct transparency rendering

3 Ways to Accelerate Your Apps

Libraries OpenACCDirectives

Programming Languages

Applications

Easiest Approach Maximum Flexibility

3 Ways to Accelerate Applications

Drop InLibraries

OpenACCDirectives

Programming Languages

Easiest Approach Maximum Flexibility

CC++

FortranOpenCL

DirectComputeJava

Python

PGI AcceleratorCAPS HMPP

CRAY

THRUSTBLAS, LAPACK

FFTNPP

SparseImaging

RNG

developers.nvidia.com/cuda

Minimum Port, Significant BenefitApplication Code

GPU CPUUse CUDA to Parallelize• Libraries• Templates• Code Kernels

Compute-Intensive FunctionsRest of Sequential

CPU Code

GPU Solutions for Seismic Processing

GPU BenefitsTo Geoscientist

Reference Customers

Boost Throughput & Reduce Cycle Time

Improve Accuracy & Reduce Uncertainty

Increase Projects Success & Reduce

Finding Costs

ISVs

Successful Customers

GPU vs CPU Improvements

Performance / Watt 18x - 27x 12x - 17x

Performance / Space 20x - 31x 15x - 20x

Performance / Cost 15x - 20x 10x - 12x

Oil & Gas ISVs

20+ Oil & Gas Companies with GPU Projects

GPU Impact to Seismic Processing

13x more jobsFrom 75 days to 6 days

More simulations/daymore confidence…

Production RTM TTISeismic Contractor

Results

6x more throughputSame budget

+More jobs

per dollar…

Paradigm Echos

Budget

+

96% less powerFrom 5 days to 6 hours

Less kiloWattsLess floor space…

3D Anisotropic Elastic Modeling ISV Research Team

Power

NVIDIA GRID vGPU is the hardware virtualization of the GPU that allows multiple virtual machines to interact directly with a GPU

IMPORTANCE OF GPU ACCELERATION

Office Productivity Medical RecordsSome Graphics Required – GPU is Nice to Have

Graphics Intensive – Must Have a GPUMedia Rich WebPLM & Volume Design3D Engineering & Design

Apps

DESIGNER

KNOWLEDGE WORKER

POWER USER

GPU 4 Kepler GPUs 2 Kepler GPUs

CUDA Cores 768 (192/GPU) 3072 (1536/GPU)

Memory Size 16GB DDR3 (4GB/GPU) 8GB GDDR5 (4GB/GPU)

Max Power 130 W 225 W

Equivalent Quadro with

Pass-through 4x Quadro K600 2x Quadro K5000

NVIDIA GRID K2

NVIDIA GRID K1

DESIGNER

KNOWLEDGE WORKER

POWER USER

• NEW OpenGL support

• NEW industry-first direct GPU sharing for hosted shared apps

• NEW codec for remote performance

• XenServer vGPU support for VD

• vGPU on VMware vSphere® coming soon

NVIDIA GRID Partners

NVIDIA Oil & Gas Global Team

Boulder

Santa Clara

Sao Paulo

London

PerthBrisbane

Kuala Lumpur

Houston

Beijing

Bangalore

JakartaNALA

Global Lead:: Paul Holzhauer

IBD: Keith Cockerham

ISA: Ty McKercher

NALA

IBD: Marcio Aguiar

EMEA

IBD: Olivier Blondel

ISA: Francois Courteille

APAC

IBD: John Xie

ISA: Huaping Luo

APAC

IBD: Manish Bali

Quadro SA: Rupali Deshpande

Tesla SA: Ananda Bhattacharjee

DevTech and Qual

Tesla: Paulius Micikevicius

Quadro: Shalini Venkataraman

Qual: Helena Chiou

APAC

IBD: Simon See

ISVs

Alliances: Mik Isernia

Email: first initial + last name@nvidia.com

Paris

Thank You!Marcio Aguiarmaguiar@nvidia.com