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#RelateCasts
02.21.2019
CJ Ejimuda
Principal | Full Stack Data Scientist
©2019 Hybrid Data Solutions hybriData
hybriData
● Listen to our customers
● Support the sustainable exploration, development, production,
transportation, storage and trading of traditional and renewable
energy - Energy Agnostic
Who we are?
©2019 Hybrid Data Solutions
hybriData
● People
- Engineering, Science, Technology, Management - Imperial College, University of Southern California, FUTO, CalPoly, University of Pennsylvania, ExxonMobil
● Deep energy domain expertise
- Low or high level
● Data and technology
- Infrastructure, Big Data, AI / ML, IIoT, Robotics, FPGA
● Proprietary Algorithms
- Probabilistic modelling, machine learning, deep learning, reinforcement learning
● Execution
- Domain Expertise + Customer + Financial + Engineering + Science + Technology
hD Recipe for Success
©2019 Hybrid Data Solutions
hybriData
● Digital Transformation
● Highly competitive
● Low and unpredictable price environment
Why now?
©2019 Hybrid Data Solutions
hybriData
● Strategic competitive advisory leveraging Big Data, IIoT and AI/ML
● Position your business to take full advantage with existing
resources/assets
● Generate new business opportunities outside your current
business segment
How we add value?
©2019 Hybrid Data Solutions
hybriData
Business models have evolved
©2019 Hybrid Data Solutions
Why do it this way?
source: https://en.wikipedia.org/wiki/The_Boring_Company
hybriData
● Proactive and not reactive to market
● Make more profit and cut costs
©2019 Hybrid Data Solutions
Why do it this way?
©2019 Hybrid Data Solutions
Specialized Services
hybriData
Self Driving Car Technology and
Edge Computing
©2019 Hybrid Data Solutions hybriData
+ =
sources: https://github.com/Muda413/CarND-Extended-Kalman-Filter
Accurate drilling
measurement data
+
Real time optimized well
trajectory planning
+
Geosteer to target with higher
precision
+
Side tracks reduction
+
More access to productive
interval
Domain Expertise
+
Filter Algorithms
+
Search Algorithms
+
Deep Learning
+
Reinforcement Learning
hD Drilling Intelligence hD Energy Infrastructure
Serverless
+
Microservices
+
Cloud Computing
+
Edge Computing
+
GPU / FPGA
hD ToolPusher
hybriData
● hD ToolPusher
- Smart edge device fitted within BHA
- Retrofit existing BHA electronic equipments
- Deploy smart edge agent daemon to BHA electronics
● Service - No Hardware
- Improved accuracy of measurements while drilling
- Real time trajectory generation for exploration and development wells - with or without
geologic markers
- More precise bit location estimation and direction guidance
- Reduce dogleg severity
- Deploy smart edge agent daemon to BHA electronics
Additional Information
©2019 Hybrid Data Solutions
©2019 Hybrid Data Solutions
Energy Data Products
Roadmap
hybriData
hD Energy Data Products
©2019 Hybrid Data Solutions hybriData
hD Energy Technical
Advisor
hD IIoT Agent
hD Energy Vision
● All developed concurrently
● 75% to Alpha version
● Web, mobile, conversational interfaces
● Scalable to million of users
● Mine value in <= 1(one) second
● <= 2Q19
hybriData
● Identify low risk, cost effective and profitable analog assets / flood patterns / fault blocks/ wells /
completions onshore and offshore
● Optimize completion, fracturing , injection, production, artificial lift (*Including gas lift) and facility
operations strategy
● All integrated with energy domain based economic yardsticks
● Asset valuation - M&A , A&D
Sources:
http://www.searchanddiscovery.com/pdfz/documents/2018/42234ejimuda/ndx_ejimuda.pdf.html
https://www.slideshare.net/CJEjimuda/aapg-geoscience-technology-workshop-2019
https://www.slideshare.net/CJEjimuda/elasticsearch-x-react
hD Energy Technical Advisor - ETA
©2019 Hybrid Data Solutions
hybriData
● Eliminate subjectivity from Exploration, Geology, Drilling, Production, Facility operations. . .
● Reduce cost of previous expensive processes
● Customized by energy domain SME
● Easily integrated with existing software and hardware (*IIoT) applications
● Deployed on batch and realtime operation
Sources:
https://www.onepetro.org/conference-paper/SPE-190036-MS
https://github.com/Muda413/Advanced_Lane_Lines
hD Energy Vision - EV
©2019 Hybrid Data Solutions
hybriData
● Exploration, Drilling, Production, Injection, Facility process equipment optimizations
● Monitor and predict valuable fixed and rotating equipment metrics
● Estimate realistic and dynamic equipment reliability metrics
● Retrofit PLC / SCADA system to integrate hD IIoT custom edge device
sources:
https://github.com/cjhD/aapg_hD_IIoT_shortcourse
https://www.slideshare.net/CJEjimuda/hybridata-iiot-workshop-for-aapg-short-course
hD IIoT Agent
©2019 Hybrid Data Solutions
hybriData©2019 Hybrid Data Solutions
We are open to local and
International partners
CJ Ejimuda
Principal | Full Stack Data Scientist - hybriData
email: cj@hybridata.us
web: https://hybridata.us
hybriData©2019 Hybrid Data Solutions
Questions?
hybriData©2019 Hybrid Data Solutions
Thank you
hybriData©2019 Hybrid Data Solutions
Back Up

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hybriData Energy Services and Data Products

  • 1. #RelateCasts 02.21.2019 CJ Ejimuda Principal | Full Stack Data Scientist ©2019 Hybrid Data Solutions hybriData
  • 2. hybriData ● Listen to our customers ● Support the sustainable exploration, development, production, transportation, storage and trading of traditional and renewable energy - Energy Agnostic Who we are? ©2019 Hybrid Data Solutions
  • 3. hybriData ● People - Engineering, Science, Technology, Management - Imperial College, University of Southern California, FUTO, CalPoly, University of Pennsylvania, ExxonMobil ● Deep energy domain expertise - Low or high level ● Data and technology - Infrastructure, Big Data, AI / ML, IIoT, Robotics, FPGA ● Proprietary Algorithms - Probabilistic modelling, machine learning, deep learning, reinforcement learning ● Execution - Domain Expertise + Customer + Financial + Engineering + Science + Technology hD Recipe for Success ©2019 Hybrid Data Solutions
  • 4. hybriData ● Digital Transformation ● Highly competitive ● Low and unpredictable price environment Why now? ©2019 Hybrid Data Solutions
  • 5. hybriData ● Strategic competitive advisory leveraging Big Data, IIoT and AI/ML ● Position your business to take full advantage with existing resources/assets ● Generate new business opportunities outside your current business segment How we add value? ©2019 Hybrid Data Solutions
  • 6. hybriData Business models have evolved ©2019 Hybrid Data Solutions Why do it this way? source: https://en.wikipedia.org/wiki/The_Boring_Company
  • 7. hybriData ● Proactive and not reactive to market ● Make more profit and cut costs ©2019 Hybrid Data Solutions Why do it this way?
  • 8. ©2019 Hybrid Data Solutions Specialized Services hybriData
  • 9. Self Driving Car Technology and Edge Computing ©2019 Hybrid Data Solutions hybriData + = sources: https://github.com/Muda413/CarND-Extended-Kalman-Filter Accurate drilling measurement data + Real time optimized well trajectory planning + Geosteer to target with higher precision + Side tracks reduction + More access to productive interval Domain Expertise + Filter Algorithms + Search Algorithms + Deep Learning + Reinforcement Learning hD Drilling Intelligence hD Energy Infrastructure Serverless + Microservices + Cloud Computing + Edge Computing + GPU / FPGA hD ToolPusher
  • 10. hybriData ● hD ToolPusher - Smart edge device fitted within BHA - Retrofit existing BHA electronic equipments - Deploy smart edge agent daemon to BHA electronics ● Service - No Hardware - Improved accuracy of measurements while drilling - Real time trajectory generation for exploration and development wells - with or without geologic markers - More precise bit location estimation and direction guidance - Reduce dogleg severity - Deploy smart edge agent daemon to BHA electronics Additional Information ©2019 Hybrid Data Solutions
  • 11. ©2019 Hybrid Data Solutions Energy Data Products Roadmap hybriData
  • 12. hD Energy Data Products ©2019 Hybrid Data Solutions hybriData hD Energy Technical Advisor hD IIoT Agent hD Energy Vision ● All developed concurrently ● 75% to Alpha version ● Web, mobile, conversational interfaces ● Scalable to million of users ● Mine value in <= 1(one) second ● <= 2Q19
  • 13. hybriData ● Identify low risk, cost effective and profitable analog assets / flood patterns / fault blocks/ wells / completions onshore and offshore ● Optimize completion, fracturing , injection, production, artificial lift (*Including gas lift) and facility operations strategy ● All integrated with energy domain based economic yardsticks ● Asset valuation - M&A , A&D Sources: http://www.searchanddiscovery.com/pdfz/documents/2018/42234ejimuda/ndx_ejimuda.pdf.html https://www.slideshare.net/CJEjimuda/aapg-geoscience-technology-workshop-2019 https://www.slideshare.net/CJEjimuda/elasticsearch-x-react hD Energy Technical Advisor - ETA ©2019 Hybrid Data Solutions
  • 14. hybriData ● Eliminate subjectivity from Exploration, Geology, Drilling, Production, Facility operations. . . ● Reduce cost of previous expensive processes ● Customized by energy domain SME ● Easily integrated with existing software and hardware (*IIoT) applications ● Deployed on batch and realtime operation Sources: https://www.onepetro.org/conference-paper/SPE-190036-MS https://github.com/Muda413/Advanced_Lane_Lines hD Energy Vision - EV ©2019 Hybrid Data Solutions
  • 15. hybriData ● Exploration, Drilling, Production, Injection, Facility process equipment optimizations ● Monitor and predict valuable fixed and rotating equipment metrics ● Estimate realistic and dynamic equipment reliability metrics ● Retrofit PLC / SCADA system to integrate hD IIoT custom edge device sources: https://github.com/cjhD/aapg_hD_IIoT_shortcourse https://www.slideshare.net/CJEjimuda/hybridata-iiot-workshop-for-aapg-short-course hD IIoT Agent ©2019 Hybrid Data Solutions
  • 16. hybriData©2019 Hybrid Data Solutions We are open to local and International partners CJ Ejimuda Principal | Full Stack Data Scientist - hybriData email: cj@hybridata.us web: https://hybridata.us
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