Akili offers an end to end approach to oil and gas upstream data management which includes: data strategy, governance, sustainability, Master Well Data Structure, system integration, system synchronization and data harmony.
Akili leverages best practices from PPDM (Professional Petroleum Data Management Group and applies our experiences leveraging the PPDM models with other companies.
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Akili Oil & Gas Data Practice - PPDM
1. AKILI OIL & GAS DATA PRACTICE
Professional Petroleum Data Management Model
2. COMPETELIKENEVERBEFORE
Akili O&G Information Management Practice
Practice Highlights Why Akili?
• Proven Experience
o Consultants > 5yrs
o Solution Architects > 10 yrs.
o Senior Leadership > 25 yrs.
• Experience with SAP and Non SAP BI Platforms
• Microsoft Silver Partner
• SAP Gold Partner
• Sponsor Member of PPDM.org
• Financial Systems – SAP Business Planning and
Consolidation
• Data Management & Strategy
• Information Acquisition
• Master Data
• Reporting, Self Service, Mobility
• Knowledge of core legacy systems for Oil & Gas
• Successful at achieving Value from the solutions
built
• Experienced with uniqueness and complexities
of Oil & Gas data
• Leveraging industry best practices (e.g.
Professional Petroleum Data Model)
• Have predefined services and solutions with
accelerators from experience and methodology
Customer and Execution Highlights
2
3. COMPETELIKENEVERBEFORE
Upstream Oil & Gas Information Challenges
Business Challenges
• Well Lifecycle Mgmt.
• Well Master Data Management
• Streamlined Processes
• Departmentalized Organization
• Business Visibility
• Frequency of Updates
Technical Challenges
• Quality of Information
• Reliability of Information
• Disparate Systems
• Single Version of the Truth
• Data Management
• Ease of Use
• Self Service
• Speed to Market
• Cross functional analysis
Well Master
Production
Land
3
4. Planning
•Seismic Analysis
•Site Evaluation
•Land Surveying
•Water Sourcing
•Materials and Services
Permitting
•Environmental
Assessment
•Water Allocation,
Sampling
•Land use and
disturbance
•Air Emissions
•Permit Verification
Drilling
•Well-pad preparation
•Stormwater
management
•Waste handling
system
•Erosion Control
•Well design
•Drilling
•Casing and Cementing
Completion
•The well is enabled to
produce oil & gas
•Flow Paths Creation
•Completion and
Testing
•Fracture Simulation
•Artificial Lift methods
Operation &
Production
•Well Rod-up
•Pump Installation
•Gathering System
•Tankage and
Permanent Onsite
structures
•Regulatory reporting
•Pad reduction and
reclamation
Abandonment
•When production rate
does not cover the
operating expenses,
well is abandoned
•Pit Closure
•Monitoring
•Post-completion water
sampling
•Site is reclaimed to its
natural state
Data Lifecycle
Data is entered in to multiple systems: internal, 3rd party and regulatory. The
challenge is reconciliation of this disparate data into meaningful information
resulting in business insight and better management.
COMPETELIKENEVERBEFORE
Well Lifecycle – Well Master Data Management
4
5. Akili Leverages PPDM
For Data Management
Best Practices
PPDM
In a Box
COMPETELIKENEVERBEFORE
How Does Akili Leverage PPDM?
About PPDM
The Professional Petroleum Data
Management (PPDM) Association is a global,
not-for-profit society within the petroleum
industry that provides leadership for the
professionalization of petroleum data
management through the development and
dissemination of best practices and standards,
education programs, certification programs
and professional development opportunities.
For 22 years, PPDM has represented and
supported the needs of operating companies,
regulators, software vendors, data vendors,
consulting companies and management
professionals around the globe.
Through the PPDM Association, petroleum
data experts gather together worldwide in a
collaborative, round table approach to
engineer business driven, pragmatic data
management standards that meet industry
needs. Key standards include the Public
Petroleum Data Model, What is a Well, Well
Status and Classification, Well Identification
best practices, data rules and more.
PPDM now owns API Numbers
5
6. Akili Leverages PPDM
For Data Management
Best Practices
PPDM
In a Box
COMPETELIKENEVERBEFORE
What Is PPDM in a Box
• Embedded Industry Best Practices
• Reduction of Implementation Risk
• Reduction of Implementation Time
• Integration with Legacy Systems
• Sustainable Solution
• Data Management Processes
• Governance
• Well Master Data Management
• API Number Management
• Data Integration
• Data Lineage
• Dashboards
• Mobile Applications
• Training &Certification
• 360 View of Wells, Land & Production Data
How Akili leverages PPDM
6
7. Akili Leverages PPDM
For Data Management
Best Practices
PPDM
In a Box
COMPETELIKENEVERBEFORE
What Is PPDM in a Box
• Well Master Data Management
• Consolidating System Data
• Integrating Disparate Systems
• Governing Data
• Visibility of Data
• Development of Data Managers (Stewards)
• Overall Data Management
How ARE O&G Companies
Leveraging PPDM
7
8. COMPETELIKENEVERBEFORE
Akili Oil & Gas Solutions & Services
Data Governance
The management and controls on data.
Having the right structure in place.
Data Integration Integrating data from multiple sources.
Well Header Master Data
Harmonizing data from multiple sources
regarding a well. Decomposition of a well.
Providence Tracking
For legal disputes you must prove the validity
and accuracy of data – tracking the sources of
data can improve your position legally.
Acquiring data for proper forecasting.
Measure both daily and monthly volumes.
O&G Data Strategy
Establishing the right controls, structure,
organization, processes, training, communica-
tions & technologies to derive additional value.
Production Management
Value of
Services
8
10. COMPETELIKENEVERBEFORE
Where to Start – Analysis of Enterprise Data Maturity
Level V
Data Self Services
Level IV
Data Steamline
Level III
Integrated Data
Level II
Data Governance
Level I
Disparate Data
Characteristics
• System data is in
conflict,
• No single version of the
truth with no validation
• No master data
• No governance
• Spreadsheet managed
Characteristics
• Data is managed
• Single version of the
truth has to be
reconciled or
validated
• No master data
• Governance
• Spreadsheet
managed
Characteristics
• Data is managed
• Single version of the
truth established
• Major master data
elements defined
and managed
• Governance
• Minimizing
spreadsheets
• Data Visualization
• Best Practices /
Models (e.g. PPDM)
Characteristics
• Data is managed
• Single version of the
truth established
• Major master data
elements defined
and managed
• Governance
• Write Back of
Reconciled Master
Data
• Minimizing
spreadsheets
• Data Visualization
• Best Practices /
Models (e.g. PPDM)
Characteristics
• Data is managed
• Single version of the
truth established
• Major master data
elements defined
and managed
• Governance
• Minimizing
spreadsheets
• Data Visualization
• Best Practices /
Models (e.g. PPDM)
• User Enabled
Visualization
• Mobility
Most
Companies
Minimum
Desired
State
Technology
Integration
Governance
Industry
Standards
Master
Data
Not everything has to be done at once….
10
11. COMPETELIKENEVERBEFORE
Addressing Each Challenge
1-2
• This sample strategy shows how to
move through the maturity model.
• Strategies may differ based on unique
challenges and maturity of the
company.
*Note: Priorities can be shifted
Sample Strategy*
Data Strategy
Roadmap
Governance
Leverage PPDM
Structure (Stewards)
Data Visualization
Extraction
Legacy
Synchronization
Master Data Defined
Write Back Capability
Self Service
Predictive Modeling
Mobility
11
12. COMPETELIKENEVERBEFORE
Closing the Gap – Components of a Successful BI Enterprise
• Executive Sponsorship
• Process
• User & IT Partnership
• Governance Board
• Strategy
• Governance
• Demand Management
• Auditing
• Information Value
• Self Service
• Adoption
• Data Lineage
• Data as an Asset / Inventory
• Communication
• Training
• Service & Support
• Depreciation & Archiving Plan
• Reliable & Relevant Data
• Information Visualization
• Accessibility Alternatives
• Ease of Use
• Analytic Tools
• Tool Management
• BI Architecture
• Tool Management
Program Delivery
Technology
Information
Consumption
Sustainability
Information
Acquisition
• Data Quality
• Data Sources
• Time Relevant Data
• Frequency of Data
• Data Architecture
• Lifecycle Management
• Sizing & Scaling
• Research
• Security
• Organization
• Staffing & Skills Management
• Change Management
• Delivery Methodology
• Data Stewards
12
II IV V
13. COMPETELIKENEVERBEFORE
Where to Start – Analysis of Enterprise Data Maturity
Level V
Data Self Services
Level IV
Data Steamline
Level III
Integrated Data
Level II
Data Governance
Level I
Disparate Data
Characteristics
• System data is in
conflict,
• No single version of
the truth with no
validation
• No master data
• No governance
• Spreadsheet
managed
Characteristics
• Data is managed
• Single version of the
truth has to be
reconciled or
validated
• No master data
• Governance
• Spreadsheet
managed
Characteristics
• Data is managed
• Single version of the
truth established
• Major master data
elements defined
and managed
• Governance
• Minimizing
spreadsheets
• Data Visualization
• Best Practices /
Models (e.g. PPDM)
Characteristics
• Data is managed
• Single version of the
truth established
• Major master data
elements defined
and managed
• Governance
• Write Back of
Reconciled Master
Data
• Minimizing
spreadsheets
• Data Visualization
• Best Practices /
Models (e.g. PPDM)
Characteristics
• Data is managed
• Single version of the
truth established
• Major master data
elements defined
and managed
• Governance
• Minimizing
spreadsheets
• Data Visualization
• Best Practices /
Models (e.g. PPDM)
• User Enabled
Visualization
• Mobility
Most
Companies
Minimum
Desired
State
Technology
Integration
Governance
Industry
Standards
Master
Data
13
14. COMPETELIKENEVERBEFORE
PPDM Model Areas – Focus is Upstream
Industry Software
• Seismic
• Geology & Geophysics
• Reserves
• Economics
• Budget
• AFE
• Accounting
• Contracts
• Mineral Land
• Surface Land
• License / Permit
• Regulatory Compliance
• Drilling & Completion
• Construction
• Field Data Capture
• Production Accounting
• Operational Systems
• Merger & Acquisition
• Abandonment
• Reclamation
Data Files
• Spreadsheets
• XML Files
• Manual Data
• Data Centers
• Purchased Data
Data
PPDM
Model
Governance
Sustainable Structure
Leveraging PPDM to Deliver Value
14
15. HR
Technical Framework Leveraging PPDM
COMPETE LIKE NEVER BEFORE
DataGovernance
Aries
AFE / Asset
Management
Production
Environme
nt, Health
& Safety
Finance
Custom Adaptors
Quroum
Sales /
Marketing
Kingdom
Studio
SDERecall
Segy
EPOS
OpenWorks /
Seisworks
GeoFrame
IESX /
Charisma
Petra
Finder
Rig
Scheduling &
Tracking
ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS
PPDM
Custom Adaptors
Enterprise Data WarehouseData
Mart
Data
Mart
Data
Mart
Data
Mart
Data
Mart
Data
Mart
Tools for Presentation Layer
15
17. 17
Challenges & Opportunities
• Client did not have a proper BI strategy,
plan or roadmap and the information
project was falling behind schedule.
• Client is implementing SAP ERP and
needed to build a data integration
strategy for systems that were being
turned off
• No BI Program was defined even though
there was work being done.
• Well – Master Data was not developed –
data out of sync in multiple systems
Objectives
• Determine proper BI tools.
• Establish Information Delivery Plan
• Create Overall BI Strategy for
communication, governance,
prioritization, and demand management
• Identify portions of PPDM model and
industry best practices
Mid-Tier Oil and Gas company leverages PPDM in their BI & Data
Strategy
Why Akili/SAP
• Akili BI Strategy experience with fortune
500 enterprise strategy
• Akili Business Objects Skills
Implementation Highlights
• Tool and process strategy delivered.
• Information project plan built based on
demand, ERP needs, business needs.
• Delivered on time under budget.
• Leveraged the Well Portion of PPDM for
the Well master data
Client Profile
• Location: Tulsa, OK
• Industry: Energy
• Products and Services: O&G Production
• Revenue: ~1.5B
• SAP Solution: SAP, Microsoft 2012
• Implementation Partner: Akili
Benefits
• Clear project controls
• AGILE Methodology Leveraged
• Communication Strategy
• Governance Strategy
• Demand Management Strategy
• Tool Pattern Defined for reporting
• Data warehouse and data visualization
approach leveraging PPDM
18. Contacts
Akili Inc.
sales@akili.com
www.akili.com
Dallas
400 Las Colinas Blvd. East, Suite 450
Irving, TX 75039
972.210.3200
Denver
999 18th Street, Suite 3000
Denver, CO 80202
303.357.2397
Houston
3200 Southwest Freeway, Suite 3300
Houston, TX 77027
713.840.6016
CO
MP
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IKE
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Contacts
18
Sales:
sales@akili.com
Brad Clark
bclark@akili.com
Office: 972.210.3218
Cell: 972.768.1044
Michelle Latta
mlatta@akili.com
Office: 972.210.3217
Cell: 254.855.8589
Marketing:
Rebekah Naramore
rnaramore@akili.com
Office: 214.210.3214
Cell: 972.365.1991
Editor's Notes
Adaptors, API’s, or SDK’s have been created by multiple consulting and software companies to integrate applications into PPDM. Most are not packaged solutions and use different technology. Informatica and Petrosys among others have created their own adaptors to integrate with PPDM. The only company with a comprehensive integration solution is Tibco’sOpenSpirit. It integrates to the following in varying degrees:EPOS OpenWorks/SeisWorksGeoFrame IESX/CharismaFinder Kingdom PetraPPDM - Oracle onlyRecallSegySDEStudioThe limitation to this is that it only supports Oracle PPDM integration.Competitors to PPDM are Seabed by Schlumberger, OpenWorks by Halliburton, and Oracle’s Digital Oilfield. All 3 of these competitors are not PPDM compliant but use PPDM’s data model as the basis. Seabed focuses more on the products sold and supported by Schlumberger. Openworks is Oracle compliant only. It is more of a Master Data Program specific to project management of well analysis. It stores raw or bulk petrotechnical data, stores final data, has its own ETL that integrates specifically to Landmark and can connect to other data sources. Has a UI for Master Data and cartography.Oracle has a product Digital Oilfield that provides reporting using Hyperion and Essbase cubes as well as a flexible SOA compliant structure. It does not appear to have standard reports.