Presented in SIG meeting at New Delhi
(14-Jan-07)
Satyam Computer Services Ltd

• 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

• 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

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 Transformation Information

• 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

MIS Data
Geological Data
Well Log Data
Production Data
Seismic Data
Drilling Data
GIS Data
Alert & Communication
Analytics
Business Intelligence
Budgetary & Financial
Environment & Safety
Integrated Information Views

Integration of data is a core requirement in E&P

• 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.

• 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

• 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

• 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

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

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

LAS to WITSML Conversion
A Case Study

• To produce a tool to convert LAS log data to
WITSML TM 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

Solution Architecture

Application Screens

Application Screens Contd..

Application Screens

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
)