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E&P Data Management-Standards

E&P Data Management-Standards. Presented in SIG meeting at New Delhi (14-Jan-07) Satyam Computer Services Ltd. Agenda. Importance of Data in E&P Data Integration Requirements Need for Data Standardization Benefits of Data Standardization Challenges Prevailing Data Standards

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E&P Data Management-Standards

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  1. E&P Data Management-Standards Presented in SIG meeting at New Delhi (14-Jan-07) Satyam Computer Services Ltd

  2. Agenda • Importance of Data in E&P • Data Integration Requirements • Need for Data Standardization • Benefits of Data Standardization • Challenges • Prevailing Data Standards • Data Integration Approaches • Available Technologies • Open Standards Data Conversion Utility – Case Study • Contacts

  3. Importance of Data in E&P • Data intensive E&P business processes • Data for Analysis, Interpretation and Decision making • Organize and store Enterprise Data for effective Knowledge Management • Digital Oil-Fields • Real Time Information Availability

  4. E&P Data Transformation Transform data into information Acquisition Processing Interpretation Decision Making Field Techniques Sensors Data Transmission Data Cleansing Corrections Software tools Analysis Reports Business Decision Re-test Data Information Transformation

  5. E&P Data Processing Needs • Improved Data Collection Methods • Sensors • Wireless data capture, Transmission • Frequency and Increased Volume • Data Processing & Interpretation • Data Storage & Archival • Data warehousing • Storage, Retrieval, Search • Re-Interpretation capabilities with • New software technology • New hardware processing powers • Advanced techniques adoptions

  6. Digital Information MIS Data Alert & Communication Geological Data Analytics DIGITAL OIL FIELDS Well Log Data Business Intelligence Production Data Budgetary & Financial Seismic Data Environment & Safety Drilling Data GIS Data Integrated Information Views

  7. E&P Information Topology Integration of data is a core requirement in E&P

  8. Data Integration Requirements • Utilize time in gathering and interpreting data rather than manipulating data formats • Nice to have Work Flow based integrated business processes than having standalone systems in silos • Seamless data flow between variety of hardware, software tools and systems • Integration with minimum semantic loss • Integration requirements arising due to corporate mergers, multiple technology landscapes etc.

  9. Need for Data Standardization • Data standardization plays an important role in • Interoperability • Protection of Investment in Technology • Adoption of Latest analytical and modelling tools • Information Sharing across Enterprises • Regulatory Compliances

  10. Benefits of Data Standardization • Promote collaboration between vendors, operators, and standards organizations • Expedite data receipt & loading, data search & tracking • Enable workflow automation • Easy and effective integration among enterprise tools • Real time decision making • Improved data quality • Productivity improvements • Eliminate need for point to point specifications for data exchange

  11. Challenges in Data Management • Heterogeneous Data - Standardization of data originating from different sources (both hardware and software) • Handling large volumes of data • Data cleaning and screening (Legacy Data) • Data storage, archival and retrieval • Proprietary unpublished data formats

  12. Prevailing Open Data Standards • Drilling standards – WITSML • Production standards - PRODML • Geophysics and reservoir standards – Geophysics ML For the list of additional standards : Refer to http://www.energistics.org

  13. Data Integration Approaches • XML based Standards • XML based Communication Patterns (SOAP) • Service Oriented Architecture (SOA) • End to End ERP Solutions • Knowledge Management Tools

  14. LAS to WITSML Conversion A Case Study

  15. Project Objectives • To produce a tool to convert LAS log data to WITSMLTM with interactive and batch interfaces • For use by log analysts, petrophysicists and data managers. • To convert existing log data from CWLS LAS 2.0 format into WITSML™ wellLog data representation

  16. Solution Architecture

  17. Application Screens

  18. Application Screens Contd..

  19. Application Screens

  20. Contacts Satyam USA Contacts • Subrat Tripathy (Subrat_Tripathy@satyam.com) Satyam UK Contacts • Nilesh_Patil (Nilesh_Patil@satyam.com ) Satyam India Contacts • Dr. Nagabhushanam (+91-40-30632323 x2229) (Nagabhushanam_G@satyam.com) • Nageswara Rao M (+91-40-30632323 x2261) (Nageswararao_Marellapudi@satyam.com) • Ryali Krishna (+91-40-30632323 x2327) (Ryali_Krishna@satyam.com)

  21. Thank You

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