Akili Oil & Gas Data Practice - PPDM
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Transcript of Akili Oil & Gas Data Practice - PPDM
AKILI OIL & GAS DATA PRACTICE
Professional Petroleum Data Management Model
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REAkili O&G Information Management Practice
Practice Highlights Why Akili?
• Proven Experienceo 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
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REUpstream 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
GOVERNANCE
DATA INTEGRATION
ACCESSIBILITY
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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.
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REWell Lifecycle – Well Master Data Management
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Petroleum Data Best PracticesStandard DataModel
Industry
Participation
Well Master
Akili Leverages PPDMFor Data ManagementBest Practices
PPDMIn a Box
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REHow Does Akili Leverage PPDM?
About PPDMThe 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
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Petroleum Data Best PracticesStandard DataModel
Industry
Participation
Well Master
Akili Leverages PPDMFor Data ManagementBest Practices
PPDMIn a Box
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REWhat 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
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Petroleum Data Best PracticesStandard DataModel
Industry
Participation
Well Master
Akili Leverages PPDMFor Data ManagementBest Practices
PPDMIn a Box
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REWhat 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
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REAkili 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 DataHarmonizing data from multiple sources regarding a well. Decomposition of a well.
Providence TrackingFor 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 StrategyEstablishing the right controls, structure, organization, processes, training, communica-tions & technologies to derive additional value.
EfficiencyGrowth
Quality
Production Management
Value ofServices
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PPDM IN A BOX IMPLEMENTATION
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REWhere to Start – Analysis of Enterprise Data Maturity
Level VData Self Services
Level IVData Steamline
Level IIIIntegrated Data
Level IIData Governance
Level IDisparate 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
MostCompanies
MinimumDesired
State
TechnologyIntegration
Governance
IndustryStandards
MasterData
Not everything has to be done at once….
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REAddressing 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 PPDMStructure (Stewards)
Data Visualization
Extraction
Legacy Synchronization
Master Data Defined
Write Back Capability
Self Service
Predictive Modeling
Mobility1 2 3 4
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REClosing 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
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II IV V
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REWhere to Start – Analysis of Enterprise Data Maturity
Level VData Self Services
Level IVData Steamline
Level IIIIntegrated Data
Level IIData Governance
Level IDisparate 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
MostCompanies
MinimumDesired
State
TechnologyIntegration
Governance
IndustryStandards
MasterData
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REPPDM 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
DataPPDMModel
Governance
Sustainable Structure
Leveraging PPDM to Deliver Value
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HR
Technical Framework Leveraging PPDM
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Dat
a G
over
nanc
e
Aries
AFE / Asset Management
Production
Environment, 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
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BUSINESS USE CASE
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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
ContactsAkili [email protected]
Dallas400 Las Colinas Blvd. East, Suite 450Irving, TX 75039972.210.3200
Denver999 18th Street, Suite 3000Denver, CO 80202303.357.2397
Houston3200 Southwest Freeway, Suite 3300Houston, TX 77027713.840.6016
COMPETE LIKE NEVER BEFORE
Contacts
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Sales:[email protected]
Brad [email protected]: 972.210.3218Cell: 972.768.1044
Michelle [email protected]: 972.210.3217Cell: 254.855.8589
Marketing:Rebekah [email protected]: 214.210.3214Cell: 972.365.1991