Keystone Program. Putting the Focus on Master Data. Perth PPDM Data Management Conference Sept. 2-3, 2009 Perth, W.A. AUS

Transcription

1 Keystone Program Putting the Focus on Master Data 13 th International Conference on Petroleum Data Integration, Information & Data Management May 12-14, 2009 Houston, Texas USA Perth PPDM Data Management Conference Sept. 2-3, 2009 Perth, W.A. AUS

2 Agenda This presentation will describe Overview of Current State Information Architecture high level Master Data Management Getting to the Future with Keystone 2

3 Current State: So What s New? Time: Need to incorporate real time data Productivity: Significant amount of time (30-70%) is spent looking for and assessing the quality of the data found Trust of what data you find: Do we understand of the meaning of data Lack of consistent data definitions Multitude of systems create their own versions of the truth Impact: Need to share data with other team members, offsite experts, partners, with regulators and landlords Perspective: Need a broader look as asset performance (not just wells or reservoir or processing equipment) 3

4 Information Management At the most basic level Information Management consists of the following: Identify the information Describe the information Organize the information Manage and use the information With the special exception of search techniques, attempts to implement information management across the enterprise have been largely unsuccessful, often because they have become too complex and difficult to use. Successes in IM have mostly been in restricted domains, often involving descriptions and organizations peculiar to those domains 4

5 IM Current State 5 5

6 Information Architecture

7 Information Architecture Information Architecture is the process and framework for planning the management of information Planning Information Quality improvements Identifying opportunities for increasing information value Establishing standards for information quality and ownership Demonstrating the information value chain across business functions for KEY information Enables a company to develop: Common language for data Shared, distributed, accurate and consistent data resources

8 Architecture Reference Model 8 * Source: UAT / Preedy

9 What is Master Data? Master Data is core information about key information objects Shared by one or more business functions Replicated across one or more business systems Static in nature, not as volatile as transactional data Applications that use master data benefit from defining and maintaining a trusted single version

10 Data Catalogue Example WELLBORE Information Object GUID Wellbore Name Spud Wellbore DateAlias Drill End Date Bottomhole Latitude Bottomhole Longitude Wellbore Class Wellbore Type Primary Fluid Type A t t r i b u t e s Attributes with Reference Values Field Operating Area ID Operator ID Concession/Lease ID Well Surface ID Effective Date Expiry Date Created By Created By Date Component Attributes M e t a D a t 10 a

11 Overview of Keystone

12 Keystone Value Fundamentals Value in Process Value in Data Value in Quality Increase Agility Reduce Costs Resource Optimization Searching Efficiency Consolidated data delivery Knowledge sharing Verifiable compliance Improved quality of decision making Reduced decision cycle time Improved efficiency Expanded opportunity for Global resource sharing Improved reliability of decisions Lower learning costs 12

13 Information Quality Management Direction Three components Data governance and stewardship model Clear delineation of responsibility for producers and consumers (people, app) Documented processes and cross-functional (line of business) authority Data quality controls framework Can t govern what you can t see need measures Measures are consistent, quantitative, and not arbitrary Metadata repository Control measures properly stored and easily accessible Analysis is multi-dimensional Agent of change Realigns concept of data ownership and breaks down data fortresses Removes data as an impediment to change and innovation Independent of any specific software application

14 Data Governance Data Governance requires Organization, Process, and enabling Technology changes that span both Information Technology and Business in the management of data.

15 Keystone Project Information Model Create and Manage Master Data Manage Relationships Manage Hierarchies Manage Authorization Info Steward Info Steward Info Steward Well Master OpenWorks Production EC Well Information WellView Well Field, Pool Reservoir, Zone Standard reference data Capture master data Capture/ manage homeless master data Reference data Core master data Data quality control Master Data Keystone Reference data Crossreference Hierarchy Core master data Upstream Business Management Drilling, Completions, Workovers Subsurface Characterization & Modeling Land & Lease Management Production Operations Field Operations Field Development Production Allocation & Reporting EC Well Information Management Wellview E&P Rights Manage IQM meta data / business rules Manage Enterprise meta data Facility Host Facility Notify Subscribers IQM Meta data Enterprise Meta data Metadata Repository Aler Equipment Quality metrics IIQ Database Quality reports Legend link point Key Business Activity Business Function Business Process Std Application Data Elements Document Document Repository Std Upstream SOR Data Repository Std repository name * System of Record * Master Reference Keystone Project Information Model 15 9/3/2008 v 0.1 (DRAFT)

16 Critical Success Factors 16

17 In Summary Keystone is a service offering resources to be leveraged across the enterprise expertise developed and retained a methodology to reuse Keystone is not just a product a team to be dispersed after a project another example of oil and gas brain drain a solution 17

18 Thank You

19 Keystone Supports your IT Strategy Prioritization Improving focus & growth in IT portfolio value by delivering reliable data Automating management of master data through services Optimizing access & delivery of information through standards Implementing key technologies to connect business to information Simplification Improving reliability, quality, simplicity, efficiency, & cost effectiveness of Chevron s IT assets Keystone deliverables information, processes, technology support & accelerate IT initiatives related to simplification Keystone - (a) data quality improvement (b) IM governance & stewardship Integration Managing IT assets & building partnership with business Keystone connects people & business with reliable master data Keystone supports E&P process through the information lifecycle 19

20 View of IWM/CAC Vision (2005) Data delivery needs (for well data) results in IWM/CAC & many delivery solutions RMIS DISWIN Drilling Details (Preliminary Casing Test Validation Required ) Block 14 Well & Wellbore Manually Loaded Further Testing Required Master Info Loaded EC Info WellView Info WellView Wellbore Schematics, Well History Well, Wellbore, Completion Master (Initial Load of Data ) Energy Components Production, Well tests EC View Created (Block 14) Zonal Allocation Enterprise 1 Well Financial Info PVT, SFT, etc UWI + Wellbore Identifier + Completion Well Status (injector, producer ), etc Well, well bore Master Info (Nightly Load ) Survey Info IWM/CAC Link Wellbore & Completion Master Info. EC Info Further Testing /Validation Required Well Master Info DSS 2003 (Access) OpenWorks UWI + Wellbore Identifier Well Master Info Completion Master Info Completion Master Dialog Created SASBU Training Required Electronic Well Files Well, well bore Master Info Geology Logs CDR 20 Established Solution or Process New Solution or Process (2005) Testing Solution or Process Proposed Future Solution or Process

21 Conceptual Data Flow 21

22 Keystone Technical View 22