Presentation for Baker Hughes GE Annual Meeting in Florence 29 January 2018

1. IS AI THE NEW OIL?
Shanker Trivedi, Senior VP Enterprise Business, NVIDIA
©2018 Baker Hughes, a GE company, LLC (“BHGE”). All rights reserved.

2. Shanker Trivedi, Senior VP Enterprise Business
BHGE Annual Meeting 2018
IS AI THE NEW OIL?

3. 3
OCEANS OF DATA
Pipeline Inspection: 1.5TB / 600km
Drilling: 0.3GB/hour
Ultrasound: 1.2TB / 8 hours
Process Data: 6GB/plant/day
Seismic Data: 10TB/survey
Industrial Analytics: Finding a Needle in an Ocean of Data, Arun Subramaniyan, BHGE, 2017 | Source: BHGE Unify 2017: Putting analytics to work for you., Arun Subramaniyan
Hand Tailored Analytics
Point Insights Don’t Scale
Constrained by Moore’s Law

4. 4
THE RISE OF GPU COMPUTING
Big Data Needs Algorithms and Compute That Scales
1980 1990 2000 2010 2020
Original data up to the year 2010 collected and plotted by M. Horowitz,
F. Labonte, O. Shacham, K. Olukotun, L. Hammond, and C. Batten New plot and data collected for 2010-2015 by K. Rupp
103
105
107
1.5X per year
END OF MOORE’S LAW
Single-threaded perf
GPU-Computing perf
1.5X per year
1.1X per year
CPU vs. GPU

5. 5
GPUS IN OIL & GAS
Data Visualization
Seismic Interpretation
Seismic Imaging
Reservoir Simulation
Source: www.marasinews.com/offshore-oil-gas/italys-eni-explore-offshore-block-oman

6. 6
RESERVOIR SIMULATION
CPU Based
One Billion Cell Simulation: 21 Hours, 470 Servers
Source: https://blogs.nvidia.com/blog/2017/04/25/how-gpus-can-make-the-most-of-fossil-fuel-resources/

7. 7
RESERVOIR SIMULATION
GPU Based
Simulation
Resolution
100x
Simulation
Speed
10x
Hardware
Cost
75%
One Billion Cell Simulation: 92 Minutes, 30 Servers
Source: Simulating a Billion Cell Oil Reservoir with IBM, NVIDIA, and Stone Ridge Technologies | http://www.stoneridgetechnology.com

8. 8
DEEP LEARNING
Delivering Superhuman Cognition
7 ExaFLOPS
60 Million Parameters
Microsoft ResNet
Superhuman Image Recognition
20 ExaFLOPS
300 Million Parameters
Baidu Deep Speech 2
Superhuman Voice Recognition
100 ExaFLOPS
8700 Million Parameters
Google Neural Machine Translation
Near Human Language Translation
2015 2016 2017

9. 9
DEEP LEARNING — A NEW COMPUTING MODEL
Software That Writes Software
Data Training Inferencing

10. 10
INDUSTRIAL ASSETS NEED AI
~$10M/Year in Savings Averting Downtimes
Source: Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach, W. Yan et al, General Electric Global Research Center, GE offshore Study Paper | Study: Digital Helps Lower Unplanned Downtime in Oil & Gas By Leif Erikse
Temperature Profile Data 20% Better Accuracy

11. 11
AI IMPACTS
OIL & GAS
END TO END
Robust Fault Prediction
Automated Inspection
Reservoir Characterization
Seismic Interpretation
Automated Drilling
Production Optimization

12. 12
NEXT STEPS
NVIDIA Deep Learning Institute
www.nvidia.com/en-us/deep-learning-ai/education
GTC San Jose | March 26-29 2018
www.nvidia.com/en-us/gtc
NGC
www.nvidia.com/en-us/gpu-cloud