Cognitive Solutions

IBM and Oil and Gas
A new business imperative – Oil & Gas
2017 Rice Oil & Gas High Performance Computing Conference
Cognitive Solutions
Cognitive solutions ingest data of all
forms, structured and unstructured,
understand that data, learn from it,
and reason through it.
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Top agenda for Oil & Gas IT executives
Our experience tells us clients want to:
Get the most out of investments they have already made
Deliver new capabilities to market faster than their competitors
Be a disrupter and an innovator in their industry
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IBM HPC Strategy
HPC Simulation
(Acceleration)
Research Clusters
Oil and Gas
Material Science
Data-Centric
Cognitive
Performance Data
Analysis
Data Analytics
Business Intelligence
Life Sciences
Financial Analytics
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The High-Performance Computing landscape
Our New World of HPC
Value from
application
performance
Workflow
Optimization
Matters
Analytics +
Data Growth
Simulation
forces new Data
Delivers Better Management
Results
Solutions
Artificial Intelligence
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IBM Investment in Innovation
Accelerated and
Open Source Databases
Top R&D Applications
Machine Learning/ Deep Learning
PowerAI ML/DL Software Distro (link)
Accelerated DB: Kinetica, Blazegraph
GROMACS, Gaussian, NAMD,
VMD, WRF, VASP,
OpenFOAM, LS Dyna,
AMBER, NCBI – BLAST, GATK4,
•Built for Deployment Speed & with
Real Performance Optimization
•Caffe, Torch, Theano, DIGITS
•Python, OpenBLAS and other
dependencies
NWChem GAMESS,
Quantum ESPRESSO
,
OSDB: MongoDB,
Neo4J,
EnterpriseDB Redis, Cassandra
Caffe, Torch, Theano, DIGITS, TensorFlow,
DL4J, more on POWER
LAMMPS, CHARMM
CP2K, LQCD, QMCPack
MILC, Chroma, QPACE
COSMO, Abinit, COMSOL,
CPMD, GTC, HOMME
HYCOM
Custom Caffe- CPU/GPU NVLink
Optimized
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IBM Research Paving Path to Next-Generation HPC
Data Centric System
Node, & Processor
Innovations
Programming
Models for Exascale
Enhancing Open
Interconnects
Scalable High
Performance Storage &
File Systems
POWER
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Seismic Interpretation Using Cognitive Computing
Experts/Interpreters
What are the main geological structures?
What type of geological messages can we find?
What is the volume of sand stone in this region?
Cognitive System for
Seismic Interpretation
Previous
Interpretations
Seismic data
Geological
Knowledge Base
Well Logs
Literature
Feature Recognition
Knowledge Extraction
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