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EP DATA INTEGRATION THROUGHSTANDARDISATION-
ROAD TO FUTURE SMART FIELDS
Data Management Evolution
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• Agenda
• INTRODUCTION
• EP industrys Challenges
• GG Workflow Integration
• EP ERP Integration
• Information technology s role
• Road map for DOFF- IT as Enabler
• EP DATA MANAGEMENT STANDARDISATION
• Challenges in Data Management
• Elements of a Successful Data Management
  Solution
• Data Cleaning meta data standardization
• International Standard Bodies
• Open Data Standards
• EP Standards Implementation
• EP Process integration
• Towards DIGITAL SMART FIELDS
• Data integration Approaches
• Data Integration Approaches
• Technologies in use SOAP

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INTRODUCTION
Survival Of the Easiest Darwinism of usability
Engineering
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EP Industrys Overview

• Data Challenges
• High Volume of Data - at High Frequency.
• Productive Data vs. Ancillary Data
• Legacy Data Retrieval
• Complex Incomplete
• Ill-Conditioned, Non-Unique,
• Multi-Format Data
• Multi Point Data Collection.
• Configuration Changes Over Time.
• Non-Uniform Flow of Information .
• Data Integrity , Security Privacy
• Data Storage Retrieval

• Industry scenario
• Demand vs. Supply
• Increased Exploration
• High Crude Prices - Old Non-Commercial Fields
  Turned Commercially Viable
• Mergers Acquisitions - Productivity
  Improvements
• Niche Players / Multiple Vendors

• Business drivers
• Contain Costs
• Aging manpower
• Resource Optimization
• Data Management Challenges
• Technology Innovations

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EP Industrys Challenges

• Information flow proper utilization.
• Provide accumulated data in databases to the
  desktops of the GG end users
• Issues involved in seamless database /
  application connectivity
• Embedding data management best practices in
  the workflow of the EP professionals. 
• Integrate new products
• Oil companies want information management
  stability not new technology.

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Cross-Disciplinary GG Workflow Integration
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EP ERP Integration
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Information Technologys Role

• It is to save, protect, integrate,
• Adjust to technology changes
• Share the complex data
• Provide insight from data in multiple sources
  / transactional applications
• To increase the efficiency

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Road map for DOFF- IT as Enabler

• Enable the future
• DOFF

Increasing business value

• Build the infrastructure
• INTEGRATION

• Establish the base
• OPEN EP DATA STANDARDS

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EP DATA MANAGEMENT STANDARDIZATION
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Challenges in Data Management

• Heterogeneous Data - Standardization of Data
  Originating from Different Sources
  (Hardware software)
• Handling Large Volumes of Data
• Data Cleaning Screening (Legacy Data)
• Data storage, Archival Retrieval
• Proprietary Unpublished Data Formats

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Challenges in Data Management

• Data Sorting
• Taxonomy Data Tagging
• Sharing the Tacit Data
• Data Integration - Data Usage
• Building the Right team

IQPC Oil and Gas Exchange conference
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Technology Drivers in EP

• Digital Oil Fields (or Smart Fields)
• Global ERP implementations
• XML as an enabler of information sharing
  (WITSML, Prodml...)
• Mobile devices location-based applications
  and data collectors rule- based intelligent
  operations remote sensing GIS
• Increased awareness of Meta Data Management
• Data and application integration seems
  possible now
• A strong trend towards revisiting the old
  Corporate Data Base - Enterprise Master Data Mgmt

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Typical Data Management Process

• Back up
• Network
• Physical Stores
• Nearline Robotics

• Infrastructure
• Authorization
• Data Security
• Disaster Recovery

Step 7 Management of Environment
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Data Management System
Data management, system that provides oil and gas
explorers with focused, fast, and accurate
integrated information to support their quest
for energy resources, is the need of the hour.
With the process of outsourcing the job of EP
data management, the role of data collection,
validation and collation becomes vital, through
out the life cycle of the data. The data
validating and maintaining it integrity can be
achieved by proper cleaning operations by way of
data reengineering.

• Data management will generally be of two parts
• Meta data (which plays main role in integration
  of silos of different data basses) management
• Actual voluminous data management like that of
  seismic and log data management.

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Elements of a Successful Data Management Solution
WEB access (Internet/Intranet)
Easy data validation, view, search (incl.
basemapping)
PROJECT DATABASE
Modern hardware and high-density media, including
HSM
Organization - Support (Policies, Procedures,
Priorities, Strategies)
Courtesy Schlumberger
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Data Cleaning Meta Data Standardization

• Objective
• Attaining accuracy and validity of data values
  to attain critical entity integrity and logical
  key integrity
• Data Re-engineering
• Data profiling - Inspect data for errors,
  inconsistencies, redundancies and incomplete
  information and identifying proper sources of
  data
• Data Quality Correct, standardize and verify
  data
• Data Integration Match, merge or link data
  from a variety of disparate sources
• Data Monitoring Audit Check and control
  data integrity and Prioritizing the data
• Commitment of data owners and stake holders to
  ensure data quality and integrity

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Data Meta Data Standards

• To identify which data elements (mandatory as
  well as non- mandatory) to be taken up
• To device a mechanism for common codes of data
  for Legacy data
• To develop a data standards and metadata
  framework (re-engineering and Change Management
  needed in connection with the data standards)
• Metadata need to be defined, but include items
  such as project details, data types collected,
  dates of field program, geographic coordinates
  of the field area, vessel name along with cruise
  navigation should be stored.

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Regulatory Reporting Standards Benefits
Regulatory processes License rounds, issuing
drilling permits, monitoring drilling, receiving
/ managing well logs, receiving final well
reports, issuing production consents, monitoring
production, releasing data, and managing
abandonment.

• Electronic standard for reporting and
  communications with regulatory bodies globally.
  (regulatory reporting open source)
• Global data communications standards would
  greatly reduce the costs of developing and
  running systems for regulators.
• Global reporting standards would be a big
  administrative benefit to oil companies.

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Open Data Standards

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

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International Standard Bodies

• The Society of Exploration Geophysicists (SEG,
  CSEG),
• AAPG
• EAGE
• POSC re-branded as Energistics
• PPDM
• API SPE,PIDX
• Open Spirit
• The Association of Records Managers and
  Administrators (ARMA)
• Non EP standards

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EP Standards Implementation

• EP energy eStandards are open specifications for
  improving EP business performance by leveraging
  Internet technologies in the integration of Oil
  Gas business processes. Our capabilities in this
  scenario leverages our partnerships with the
  leaders in this domain like
• Alliances, Partnerships Membership
• Energistics www.energistics.org
• PPDM Association (Public Petroleum Data Model
  Association) - http//www.ppdm.org/

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EP Standards Implementation Alliances
Partnerships
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EP Process integration

• Advantage of innovative technologies can only be
  had through automation and EP process
  integration by
• Creating automated workflows and an
  environment
• new ways of working through improved
  communication
• Integrating remote operations
• Increased collaboration and decision-making
  between partners, suppliers and onshore/offshore
  staff
• Facilitators -
• Technological advances and E P standards like
  WITSML, PRODML etc.,

Remember that only about 20 of the scope is
technology -the remainder is governance, people
and procedures,
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Consider the following scenario A producing well
goes down on a Friday afternoon.
The person in the field needs background
information concerning the well so he logs into
the Asset Management System from his laptop to
retrieve the work-over records, logs and a well
bore diagram for the well.
Access to the well files is through a map-based
interface or a relational database.
The records can give information on troublesome
tubing anchor that was noted on the last
work-over. An alert goes to the production
engineer .The engineer logs into the system from
his desktop and can see exactly what the other
person is seeing. Together they can determine a
course of action and schedule a quick tubing pull
and anchor replacement for the next morning. The
well can be placed back on production in a very
short amount of time.
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Towards DIGITAL SMART FIELDS

• Smart well
• Flow meters, sensors to detect seismic activity
  and other well conditions,
• Telemetric devices, valves to control flow, and
  Fiber-optic cables to communicate data to the
  surface
• Smart fields -
• Integrates digital information technology with
  the latest drilling, seismic and reservoir
  monitoring techniques to provide energy more
  efficiently

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Data integration Approaches
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Data Integration Approaches

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

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Technologies in use SOAP

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

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WAY FORWARD

• Break data out of application silos. Expose data
  in standard formats like WITSML/PRODML etc., The
  data have more value to you when all applications
  can use it.
• The value of the network increases as the square
  of the number of nodes.
• Enable your data to participate in the Web the
  most valuable network there is. It can then be
  used in ways you never anticipated.
• How can you do that only by proper data
  management through standardization

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Digital Oil Field of the Future (DOFF)
Courtesy Energistics
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SUMMARY

• One integrated system of data, results,
  knowledge with information flowing in both
  directions provide way for quality decision
  making
• Integration of EP ERP Database.
• Digital oil fields of future with real time
  data and information - gives better reservoir
  management and timely commercial decisions
  through hydrocarbon allocation and accounting.
• Without standards, individual companies can
  only look to find the solution that works best
  for them, in many cases a better than nothing
  but far from perfect answer.

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Satyam Contacts

• Satyam USA Contacts
• Amit_Chadha (Amit_Chadha _at_satyam.com)
• Satyam UK Contacts
• Shaji Zacharias (Shaji_Zacharias_at_satyam.com)
• Satyam India Contacts
• Dr. Nagabhushanam (91-40-30632323 x2229)
• (Nagabhushanam_G_at_satyam.com)
• Venkata Rao A (91-40-30632323 x2342)
• (Venkatarao_Aryasomayajula_at_satyam.com)
• Ryali Krishna (91-40-30632323 x2327)
• (Ryali_Krishna_at_satyam.com)

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Thank You
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Many facets of OFS companies
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Case 1 POC applicability for a large OFS Co
Procurement Cell
User
Supervisor
Supplier
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ERP Extends to Most Key Business Processes

• Commodity procurement may not be handled by ERP
• Named user licenses prevents extension of ERP to
  3rd parties
• Initial enquiries (pre-ERP master) still email
  centric