DATA INTEGRATION APPROACH TO OIL &GAS LEGACY SYSTEMS WITH THE PPDM MODEL. Compete like never before. Consulting Technology Performance

Transcription

1 DATA INTEGRATION APPROACH TO OIL &GAS LEGACY SYSTEMS WITH THE PPDM MODEL Compete like never before. Consulting Technology Performance

2 Akili Overview Akili (uh kē lē) Means knowledge in Swahili. Founded in 1992 We have over 20 years of successful implementations for the Fortune 1000 with client relationships of the same length. Headquartered in Dallas Locations in Houston, and Denver. Providing the best of breed services A combination of consulting and technology to help our clients compete like never before. 2

3 Akili Focus Areas Cloud Enterprise Performance Management Any Database Analytics Solutions Mobile Business Intelligence SAP NetWeaver BW, SAP HANA Enterprise Information Management Upstream Oil & Gas End to End Solution All Data Sources 3

4 Akili Client Sampling 4

5 Business Analytics Dynamic Reports and Data Management using PPDM Best Practices to help you Compete like never before.

6 Akili Oil & Gas Information Management Practice Practice Highlights 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 Why Akili? 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 Financial Systems SAP Business Planning and Consolidation Data Management & Strategy Information Acquisition Master Data Reporting, Self Service, Mobility 6

7 OVERVIEW 7

8 Upstream Oil & Gas Information Challenges (Well) Business Challenges Well Lifecycle Mgmt. Well Master Data Management Streamlined Processes Departmentalized Organization Business Visibility Frequency of Updates Well Master Data Production Land 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 8

9 Understanding Well Lifecycle Well Master Data Management 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, 3 rd party and regulatory. The challenge is reconciliation of this disparate data into meaningful information resulting in business insight and better management. 9

10 Where to Start Analysis of Enterprise Data Maturity Technology Integration Most Companies 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 Governance Industry Standards Level II Data Governance Characteristics Data is managed Single version of the truth has to be reconciled or validated No master data Governance Spreadsheet managed Master Data Minimum Desired State Level III Integrated Data 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) Level IV Data Streamline 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) Level V Data Self Services 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 Not everything has to be done at once. 10

11 Leverage PPDM Model for Data Integration 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 Data Integration Akili Leverages PPDM For Data Management Best Practices 11

12 CREATING THE KEY COMPONENTS TO DATA INTEGRATION 12

13 Data Integration Key Components Governance Organization O&G Data Integration Key Components Communication People coming together Technology Methodology (Definition/Process) 13

14 Data Organization Considerations Organizational Challenge: Lots of people, disparate departments, many ideas or understandings. Organizational Potential Solutions: Establish a governance board/committee early in the cycle to standardize metric definitions, terminology and calculations. Then prioritize identified metrics. Establish and communicate a Who s Who of you re organization so people know where to go for help. Don t over commit people. 14

15 Data Governance Considerations Governance Challenge: Lots of data, no standard definitions, limited knowledge of the full data lifecycle. Governance Potential Solutions: Leverage the governance committee to map the processes around data: How to maintain data. How to move data between systems. Establish context / quality rules. Resolve terminology and metrics definition inconsistencies. Start with one area to focus on. 15

16 Data Communication Considerations Communication Challenge: People are often unaware of system, data or process changes as it relates to data. Communication Potential Solutions Establish and communicate a Who s Who of you re organization so people know where to go for help. Establish a publishing communication channel. Communicate governance or steering committee decisions. Involve all consumers of the data. 16

17 Data Methodology Considerations Methodology Challenge: Defining information consumption processes and terms. Methodology Potential Solutions Determine the metrics that drive your business financially, strategically and operationally. Select a few metrics to start with to prove out the integration. Follow a standard process for defining metrics. 17

18 Technology Considerations Technology Challenge: Too many systems, too much data, too many people manipulating data manually. Technology Potential Solutions Identify the systems that are being used (and integration points between systems) that are part of the subject area and determine which of those systems are systems of record. Do not underestimate the complexity of some of the formulas and systems that are being leveraged. Leverage enterprise tools. Minimize and govern standalone reporting. 18

19 SAMPLE HIGH LEVEL APPROACH 19

20 Data Integration Leveraging PPDM Key Components Data Integration Akili Leverages PPDM For Data Management Best Practices Key Components 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 (Data Managers) 360 View of Wells, Land & Production Data 20

21 Addressing Each Challenge Sample Strategy This sample strategy shows 1 2 how to move through a data maturity model. Strategies may differ based on unique challenges and maturity of the company. Data Strategy Roadmap Governance Leverage PPDM Structure (Stewards) Data Visualization Extraction Legacy Synchronization Master Data Defined Write Back Capability Self Service Predictive Modeling Mobility 21

22 Sample PPDM High Level Data Flow 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 Leveraging PPDM to Deliver Value Data Governance Sustainable Structure PPDM Model 22

23 Sample Technical Framework Leveraging PPDM Tools for Presentation Layer Data Governance Data Mart Data Mart Data Mart Enterprise Data Warehouse PPDM Custom Adaptors ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS ODS Data Mart Data Mart Data Mart Custom Adaptors EPOS Aries GeoFrame IESX / Charisma OpenWorks / Seisworks Petra Quroum Recall Finder 23 Kingdom Segy SDE Studio Production Finance HR Sales / Marketing Rig Scheduling & Tracking AFE / Asset Management Environme nt, Health & Safety

24 POWERPOINT DEMONSTRATION 24

25 Oil & Gas Cost Center Reporting Shows Production by Cost Center 12 New Haven Arkansas Arkansas 20% Hanover Review Arkansas Production Houston Louisiana Galveston Mexico

26 Oil & Gas Cost Center Reporting Shows Production by Cost Center 12 New Haven Arkansas Arkansas 20% Hanover Change Charts & Graphs to Analyze Production Houston Louisiana Galveston Mexico

27 Oil & Gas Cost Center Reporting Shows Production by Arkansas Cost Center 12 $3,000,000 $2,500,000 $2,000,000 $1,500,000 20% Reduction from Jan Oct $1,000,000 $ 500,000 $ 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct

28 THANK YOU 28