E&P Data Management-Standards

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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 - PowerPoint PPT Presentation

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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 (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)

Thank You