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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• Data Integration Approaches• Available Technologies• Open Standards Data Conversion Utility – Case Study• Contacts
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
E&P Data TransformationTransform data into information
Acquisition Processing Interpretation Decision Making
Data Information
Field TechniquesSensorsData Transmission
Data CleansingCorrectionsSoftware tools
AnalysisReports
Business DecisionRe-test
Transformation
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
Digital Information
Geological Data
Production Data
Seismic Data
Well Log Data
Alert & Communication
Analytics
Business Intelligence
Budgetary & Financial
Environment & Safety
Integrated Information Views
MIS Data
DIGITAL
OIL FIELDS
Drilling Data
GIS Data
E&P Information Topology
Integration of data is a core requirement in E&P
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.
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
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
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
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
Data Integration Approaches
• 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
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
Solution Architecture
Application Screens
Application Screens Contd..
Application Screens
Contacts
Satyam USA Contacts
• Subrat Tripathy ([email protected])
Satyam UK Contacts
• Nilesh_Patil ([email protected] )
Satyam India Contacts
• Dr. Nagabhushanam (+91-40-30632323 x2229)
• Nageswara Rao M (+91-40-30632323 x2261)
• Ryali Krishna (+91-40-30632323 x2327)
Thank You
