4th paradigm geo science iitb talk march2011
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Transcript of 4th paradigm geo science iitb talk march2011
Presenting the New TechnologyData Intensive Science of 21st Century
Science has evolved into a new Paradigm of Data Intensive Discovery.It is different from what most Teaching and Research has pursued.
Outline
May 3, 2023G Srikanth. Reliance Industries Ltd. E&P. [email protected],
Evolution of Life - Example of Paradigm Changes
May 3, 2023G Srikanth. Reliance Industries Ltd. E&P. [email protected],
Paradigm Change
1.Changes are prolific altering the entire course of evolution
2.Time intervals are smaller
3.Radical 4th http://www.harvestbird.com/blog/2010/03/27/geological-time/
4th Paradigm of Science
May 3, 2023G Srikanth. Reliance Industries Ltd. E&P. [email protected],
2000 1900 1800 1700 1600 1500 1400 1300 1200 11004th Paradigm RomantisismAge of Enlightenment SCIENTIFIC REVOLUTION Medivial Universities, GUN Powder (China)
1000 900 800 700 600 500 400 300 200 100Astronomical Maps ZERO
0 -100 -200 -300 -400 -500 -600 -700 -800 -900Deductive Reasoning Library EUCLID, AXIOMS
-1000 -1100 -1200 -1300 -1400 -1500 -1600 -1700 -1800 -1900Papyrus Medical BOOK 1st LAW of Science
-2000 -2500 -3000 -3500 -4000 -4500 -5000 -5500 -6000 -6500TEXT Numerals Wheel
-6400 -6900 -7400 -7900 -8400 -8900 -9400 -9900 -10400 -10900Art Fire Agriculture Stone Tools
2nd Paradigm
The Changing Game of Knowledge
Adapted from: The Big Idea. Next Scientific Revolution. Tony Hey Harvard Business Review. November 2010.
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May 3, 2023G Srikanth. Reliance Industries Ltd. E&P. [email protected],
4th ParadigmChange in the Principle of Science1.Construct2.Methodology3.Inference4.Verification5.CommunicationScience is shifting towards inferences heavily dependent on large volumes of data
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Components of 4th Paradigm1 Data Capture and Management2 Workflow Centric analysis3 Data, Information, Knowledge
Dissemination and Collaboration
These terms are familiar to most of us.Extent and nature of understanding
commonlyScientific framework requirements of these
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1. Data and Databases Data = qualitative or quantitative attributes of a
variable or set of variables Database= Structure, Semantics and inter-
relationships are ‘defined and embedded’ E-R model Data Dictionary Controlled redundancy Integrity checks Method for assessing
Correctness, Completeness and Capability 1982 onwards E&P databases have been designed
and developed 1990 Petrotechnical Open Software Corporation
(POSC) 4th Paradigm Focus on Data, Data
Organization & Access
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[email protected] 8888
Prerequisites for DB
1. Data Standards2. Data Dictionary3. Data Capture and OrganizationNon-Trivial issues in these in 21st century
data1 Data Management Principles and
concepts2 Structure and Semantic Robustness needs
VERY CLEAR COMMON UNDERSTANDING3 Sophisticate Computer Infrastructure
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Schematic Layout+
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Data source – XMT~
Front View Front LeftBack RightMay 3, 2023
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Data Source – Choke~
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Real-Time data visualization*
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[email protected] 1414
ResolutionReliabilityResponse
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Problems in E&P – Field water-cut
W-8
W-15
W-17W-19W-52W-112
W-122
W-135
W-137W-140W-145
W-148
W-154
W-951
Water Cut %Cum
. Oil Produced
1500 blpd3000 blpd4500 blpd
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1. Complex trends
2. Economic value
3. Predictability4. Verifiability
GeologySeismicWell LogsReservoirProduction
Data pointing to limitations and fallibility of various results & theories
Micro-CT Data Core Property Estimate
d ValueConnectivity 6.23Volume Connectivity 9.11Pore Size (Microns) 34Throat Size (Microns) 14Pore-Throat Aspect 3.1Aspect Volume Weighted
4.4
May 3, 2023
5 GB of data from each sample.Simulation studies on each scenario 5GB
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Change is no more the only unchanged thing, it is also changing radically
May 3, 2023G Srikanth. Reliance Industries Ltd. E&P. [email protected],
Why is the Paradigm Change
1. Proliferation of Instrumentation2. Precise and Accurate measurements3. Quantum leap in Resolution4. Automatic Data measurement and Capture5. Data pointing to limitations and fallibility of various results
& theories6. Simulation is developing into Real-Time
predictive7. Mathematical and Computation complexity8. New Computational model has evolved
(Cloud)9. Changing culture of open visible life10.Challenge of Science has gone beyond
generalization
2. Workflows and Analysis? WorkflowFormal Workflow characteristicsCollaborative workflows
Workflow Sequence Parallel concurrent Workflows
? AnalysisStatistical AnalysisNumerical AnalysisExploratory Data Analysi
May 3, 2023G Srikanth. Reliance Industries Ltd. E&P. [email protected],
Formal Workflow Systems Taverna : Fully featured, extensible and
scalable scientific Workflow Management System Formal –vs- Informal Workflows Intuitive –vs- Verifiable Workflows Workflow Documentation
Analytics on Large data volume Looking beyond MS-EXCEL R-Programming Sharable Workflows and Analysis
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Changing Geoscience Wish based R&D –vs- Need based R&D Earth Systems Science Environmental issues Energy Dynamics Instrumental Geology
Geoscience will follow the Evolving Science Methodologies in Other AGGRESSIVE EARLY ADAPTORS
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Future is not what it used to be
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How will it impact Science
1. Commercial Systems
2. Biotechnology3. Genome project4. Medical Research5. CERN6. Astronomy
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1. Rapid Discovery2. Fast changing
inference3. Data
Discovery4. Real-Time
EXAMPLES from Early adoptersIMPACT on Geosciences and E&P
Commercial world had evolved in late 20th centuryInfer meaning from data and take action - StructuredConvergence of simple measures for action> 90% of IT efforts world over are focused
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When is 4th Paradigm
1. Astronomy (SDSS) - 20002. Human Genome Project - 19903. Digital Oil Field Initiative - 20034. LHC, CERN - 20085. Heath Care Records (HER,PHR) - 20066. 4th Paradigm formal recognition - 2007
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Geoscience data initiativesINTERNATIONAL
1.NCAR – Data Model, HPC access, Software, Storage, Collaboration, Delivery (http://cdp.ucar.edu/).2.USGS – Spatial Data Standard (http://www.fgdc.gov/nsdi/nsdi.html http://datapreservation.usgs.gov/ Colorado Core Research Center3.Kentucky Geological Survey – (http://www.uky.edu/KGS/ )4.National Resources Canada – (http://gdr.nrcan.gc.ca/index_e.php ) 5.Geological Survey of New South Wales - GADDS - Geophysical Archive Data Delivery System (http://www.dpi.nsw.gov.au/minerals/geological )INDIAGeological Survey of India (http://www.portal.gsi.gov.in ) Geological Maps, ReportsDGH (http://www.dghindia.org/ ) NELP descriptions. NDR is being discussedNIO, Goa (http://www.nio.org/index/title/HOME ) Data repositories as FilesNRSA (http://www.nrsc.gov.in/ ) Sells data
MILES TO GO May 3, 2023
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Tried and Failed
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3. Collaborative GeoScience1. Data2. Information3. Knowledge
Individual DIKTeams DIKGiga-Global DIK
PrimarySecondaryTertiary
Wish Based. Add-on
Local Need. Contribute
BreakthroughMay 3, 2023
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What needs to be Done1. Recognize the 4th Paradigm2. Learn the basic Building blocks3. Start Practicing
Learn Data Modeling Build Data Models (Structure & Semantics) Establish Data Grids Learn and adapt Workflows Learn Analytics on R
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[email protected] 2727272727
May 3, 2023G Srikanth. Reliance Industries Ltd. E&P. [email protected],
REFERENCES1.+ RIL’s KGD6 Fields. Transforming India’s Energy Landscape. Supplement to Oil&Gas Journal, 2009.2.Tony Hey, Stewart Tansley, and Krist in Tolle (Eds)., The Fourth Paradigm. Data Intensive Scientific Discovery. Microsoft Research, Washington. 2009., Pp252.3.Tony Hey, The Big Idea: The Next Scientific Revolution, HBR Magazine, Nov.2010.4.C.H. Arns et.al., PETROPHYSICAL PROPERTIES DERIVED FROM X-RAY CT IMAGES; APPEA JOURNAL 20035.Srikanth, G. and Kalyanasundar, R., An Entity Relationship model for Palaeontology Information System., Contrs. XV Indian Colloq. Micropal. Strat. (Eds. Pandey.J, Azmi, R.J., Bhandari, A and Dave, A) 1996.6.Srikanth, G and Kalyanasundar, R., Quantitative Foraminiferal Bio-stratigraphy for Late Paleocene to Pleistocene in Krishna-Godavari basin. India. XIV Colloquium on Micropaleontology and Stratigraphy. Univ. Madras. 1994.7.Srikanth, G., “Smart Workflows”: Paradigm shifts, Work metrics and People support for facilitating advanced knowledge technologies in upstream work. Keynote paper at – 5th Annual Oil & Gas Exchange, IQPC. London. November. 2005.8.Shahab D. Mohagjegh, Modavi, A., Hafez H. Hafez., Masoud Haajizadeh, Maher Kenawy and Srikanth, G. SPE 99667. Development of Surrogate Reservoir Models (SRM) for fast-track analysis of complex reservoirs. SPE Intelligent Energy Conf. Amsterdam. 2006. 9.Unpublished internal reports of ONGC.. 1984-94
1. Quantitative Biostratigraphic Correlation, 1985.2. Quantitative Stratigraphy and Basin Modeling of Krishna Godavari Basin. V-1; 19873. Paleontology Information System, PALIMS, 1994.
10.* Personal Communications from RIL Production Intelligence and Drilling RTOC. 2011.~ http://www.akersolutions.com/en/Global-menu/Products-and-Services/technology-segment/Subsea-production-systems-and-products/Subsea-production-systems-and-technologies/Subsea-trees/HPHT-subsea-tree/http://en.wikipedia.orgHttp://www.pointcross.com http://semanticweb.org/wiki/Semantic_Webhttp://hbr.org/2010/11/the-big-idea-the-next-scientific-revolution/ar/1# http://www.docstoc.com/docs/68059591/GUIDELINES-IN-DEVELOPING-A-FIRST-RATE-GEOSCIENCE-DATA-REPOSITORY
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