4th paradigm geo science iitb talk march2011

Presenting the New TechnologyData Intensive Science of 21st Century

4th-paradigm-geoscience@googlegroups.com

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. guruswamy.srikanth@ril.com,

g_srikanth@aol.in 2

Evolution of Life - Example of Paradigm Changes

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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

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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.

g_srikanth@aol.in

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

g_srikanth@aol.in 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+

Data source – XMT~

Front View Front LeftBack RightMay 3, 2023

G Srikanth. Reliance Industries Ltd. E&P. guruswamy.srikanth@ril.com, g_srikanth@aol.in 12

Data Source – Choke~

Real-Time data visualization*

ResolutionReliabilityResponse

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Problems in E&P – Field water-cut

W-17W-19W-52W-112

W-137W-140W-145

Water Cut %Cum

. Oil Produced

1500 blpd3000 blpd4500 blpd

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

May 3, 2023

5 GB of data from each sample.Simulation studies on each scenario 5GB

Change is no more the only unchanged thing, it is also changing radically

g_srikanth@aol.in

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

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

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

Future is not what it used to be

How will it impact Science

1. Commercial Systems

2. Biotechnology3. Genome project4. Medical Research5. CERN6. Astronomy

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

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

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

Tried and Failed

3. Collaborative GeoScience1. Data2. Information3. Knowledge

Individual DIKTeams DIKGiga-Global DIK

PrimarySecondaryTertiary

Wish Based. Add-on

Local Need. Contribute

BreakthroughMay 3, 2023

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

g_srikanth@aol.in

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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