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

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Presentation on theme: "E&P Data Management-Standards Presented in SIG meeting at New Delhi (14-Jan-07) Satyam Computer Services Ltd."— Presentation transcript:

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 ProcessingInterpretationDecision Making DataInformation Field Techniques Sensors Data Transmission Data Cleansing Corrections Software tools Analysis Reports Business Decision Re-test 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 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

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 Technologies in use – SOA A service-oriented architecture (SOA) is a collection of services that communicate with each other. The services are self-contained and do not depend on the context or state of the other service. The communication can involve either simple data passing or it could involve two or more services coordinating some activity.

15 LAS to WITSML Conversion A Case Study

16 Project Objectives 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

17 Solution Architecture

18 Application Screens

19 Application Screens Contd..

20 Application Screens

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

22 Thank You

23 XML in Brief XML was designed to describe data and to focus on what data is XML allows a flexible way to create common information formats and share both the format and the data between systems XML allows information exchange With XML, data can be exchanged between disparate systems Contd..

24 Technologies in use – SOAP SOAP is a communication protocol for exchanging XML-based messages over computer network, normally using HTTP. SOAP provides a way to communicate between applications running on different operating systems, with different technologies and programming languages Contd..

25 Features of SOAP SOAP is a format for sending messages SOAP is designed to communicate via Internet SOAP is platform and language independent SOAP is based on XML SOAP is simple and extensible

26 Proliferation of Tools Functional AreaTools in usage (Indicative list) Geology, Geophysics and PetrophysicsPetris, Turbidite, Winlog Pro Reservoir Engineering and SimulationCOMET3, GasPal, PanSystem, Turbidite Drilling EngineeringCasingCK, Cement, Centra, CTLife, CWear, DDrag, DPLife, HTHPFlow, HYDMod, MudLite, Nitro, Triax, Wellcon, Wellpath, Wellstab, equiPoise, Petris, PORE, pQube, Winlog Pro Completion and Production EngineeringCBalance, FieldFlo, Operations Center, PanSystem, PIPEPHASE, Prism, ProdEval, RODDIAG, RODSTAR, StimPlan, TACITE, Wellflo, XDIAG Process and Facilities EngineeringEnergy Conversion, FieldFlo, PIPEPHASE, PRO / II, TACITE, Wellflo Marketing, Regulatory and FinancialGASPRO, Gastar-PM, Petris tools, ProdEval, Prophet, Rogars Knowledge Management Data Management


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