Cloud 3.0: High Value Industry Cloud Transformation

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Lesley Townsend
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1 Cloud 3.0: High Value Industry Cloud Transformation IBM Research Brazil Renato Cerqueira Senior Research Manager, Natural Resources Solutions 1

IBM Research Brazil Natural Resources Solutions

Smarter Water Academic Areas of Interest Applied

industry leading solutions and platforms with

2 IBM Research Brazil Natural Resources Solutions Area Oil & Gas Metals & Mining Agriculture Smarter Water Academic Areas of Interest Applied Math Computation Sciences High Performance Computing Distributed Systems Software Engineering Data visualization Mission: Create industry leading solutions and platforms with innovative datadriven, physically-driven and people-driven analytics 2

3 Research Agenda Designed to advance the ongoing transformation of the Natural Resources industry as it moves into an knowledge-driven era fueled by unprecedented data availability Focused on addressing the scientific and technical challenges of the Natural Resources industry by developing Systems of Insights that combine data- and physically-based analytics with mathematical optimization techniques built on top of flexible, resilient and integrated platforms based on cloud and high performance resources DATA-DRIVEN ANALYTICS Advanced analytics based on structured and unstructured data PHYSICALLY-BASED ANALYTICS Multi-scale physical models, numerical solvers, scientific computing MATHEMATICAL OPTIMIZATION Opt under uncertainty, Risk modeling, solution algorithms for large-scale problems SOLUTIONS ENGINEERING Knowledge capture and representation; Industry-oriented frameworks; Large-scale data access, extraction and integration; Large-scale visual analytics, Decision tracking and automation; Models representation, integration and continuous evolution INDUSTRIAL CLOUD Scalable cloud-based infrastructures, HPC as a Service, Workload Modeling and Placement Optimization 3

IBM Research Brazil Natural Resources Workstreams Cognitive

Operations, Optimization DESIGN, PLAN, BUILD, OPTIMIZE Improve

portfolio of projects Reduce delay in CAPEX intensive project

Characterization and Management FIND, PRODUCE, OPTIMIZE Find

Improve operation eﬃciency Extend resource life Nanotechnology

Improve oil & gas recovery Manage and optimize injections

4 IBM Research Brazil Natural Resources Workstreams Cognitive Computing for NR (Watson Oil & Gas) Capital Projects, Operations, Optimization DESIGN, PLAN, BUILD, OPTIMIZE Improve capital productivity need to manage larger and more complex portfolio of projects Reduce delay in CAPEX intensive project improving the return on capital reduce energy usage Resource Characterization and Management FIND, PRODUCE, OPTIMIZE Find new reserves Improve reserve management Improve recovery rates Improve operation eﬃciency Extend resource life Nanotechnology Applied to Enhanced Oil Recovery and Mining MAXIMIZE RECOVERY Improve oil & gas recovery Manage and optimize injections Chemical and thermal recovery design In situ combustion optimization HPC Industry Cloud 4

5 IBM Research Brazil Industry Cloud to address specific needs in Natural Resources - Moving Natural Resources solutions to services - Focus on HPC and data-intensive applications - Manage both traditional (virtual machines) and specialized resources (high speed disks, network, and CPUs) - DevOps support for born-in-the-cloud applications Full Waveform Inversion (FWI) Flood Forecasts Geo-referenced Data Aggregator Landslide forecasts 5

6 HPC Cloud for High Value Applications HPC High Value Applications and SLA requirements SLA and cost aware application/ service management HPC Cloud Infrastructure Industrycentric - High value complex HPC applications DevOps Tools - Management of complex workflows and and large amounts of data Programming - Support for solution replication Models - Mix of heterogeneous resources - On-premise vs Cloud - Bare-metal vs virtual machines - CPUs vs GPUs - x86 vs Power vs Z - Elastic applications - Trade-offs between resources and costs - Dynamically select expensive resources based SLAs and costs - Cognitive interface to help users and sys admins to specify SLA parameters 6 HPC Cloud Resource Management Auto-scaling: Add/ Remove resources on demand Cloud-bursting: Temporary use of Cloud to extend on-premise resource capacity

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