Akili Oil & Gas Data Practice - PPDM

AKILI OIL & GAS DATA PRACTICE

Professional Petroleum Data Management Model

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PETE LIKE NEVER BEFO

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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Industry

Participation

Well Master


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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Industry

Participation

Well Master


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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COM


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


truth established• Major master data

elements defined and managed

• Governance • Minimizing

spreadsheets• Data Visualization• Best Practices /

Models (e.g. PPDM)




• Governance• Write Back of

Reconciled Master Data

• Minimizing spreadsheets

• Data Visualization• Best Practices /

Models (e.g. PPDM)




• Governance• Minimizing


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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COM


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


truth has to be reconciled or validated

• No master data• Governance• Spreadsheet

managed




• Governance • Minimizing


Models (e.g. PPDM)




• Governance• Write Back of

Reconciled Master Data

• Minimizing spreadsheets

• Data Visualization• Best Practices /

Models (e.g. PPDM)




• Governance• Minimizing


Models (e.g. PPDM)• User Enabled

Visualization• Mobility

MostCompanies

MinimumDesired

State

TechnologyIntegration

Governance

IndustryStandards

MasterData

13

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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

COMPETE LIKE NEVER BEFORE

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