The EP Technical Data Quality Metrics Initiative

Transcription

1 The EP Technical Data Quality Metrics Initiative Architectural Considerations for Global Governance Philip Lesslar, Technical Assurance, Technical Data Digital Energy Conference 13 th October 2014 Impiana Hotel, Kuala Lumpur 2014 PETROLIAM NASIONAL BERHAD (PETRONAS) All rights reserved. No part of this document may be reproduced, stored in a retrieval system or transmitted in any form or by any means (electronic, mechanical, photocopying, recording or otherwise) without the permission of the copyright owner. Petroliam Nasional Berhad (PETRONAS)

2 Contents Objectives Requirements for global governance Key supporting initiatives Architecture elements Global governance readiness Dashboard designs Concluding remarks Petroliam Nasional Berhad (PETRONAS)

3 Contents Objectives Requirements for global governance Key supporting initiatives Architecture elements Global governance readiness Dashboard designs Concluding remarks Petroliam Nasional Berhad (PETRONAS)

4 Objectives Show the relevance of architecture in addressing business problems Explain PETRONAS s Data Quality Metrics initiative within this context Petroliam Nasional Berhad (PETRONAS)

5 The Role of Data Management in Value Creation Previous industry studies : Geologists spend up to 60% of their time looking for & quality checking data for their projects Recent PETRONAS study : Geologists spend 39 days looking for & quality checking basic data (well header, checkshots, deviation and well logs) for their projects. This is an estimated 20% of their time. Source / feeder databases Workflow and Standardization 2 2 Application Data Quality Metrics Master (Reference) Data Value Loop unique master source of quality checked data 3 Re-use 1 Internal 1 Step 1 Data collation 1 Reduction of time for data collation and project setup Cost management Reduce the 39 days to 5 mins for the 4 data types. Project set up Project Database The project space is where the big decisions are made 2 Step 2 2 Publishing Re-use Process improvement Standards & workflows Bring to acceptable quality Capture work done for re-use Approved & final Corporate Database Petroliam Nasional Berhad (PETRONAS) Value Loop Feeding new projects Corporate Data Optimization One version of truth datasets Re-use many times 3 3 Step 3

6 Contents Objectives Requirements for global governance Key supporting initiatives Architecture elements Global governance readiness Dashboard designs Concluding remarks Petroliam Nasional Berhad (PETRONAS)

7 Minimum Requirements for global governance Central data quality team DQ tool with global reach Ownership & accountability framework Standardized application and database portfolio Petroliam Nasional Berhad (PETRONAS)

8 Contents Objectives Requirements for global governance Key supporting initiatives Architecture elements Global governance readiness Dashboard designs Concluding remarks Petroliam Nasional Berhad (PETRONAS)

9 Key supporting initiatives Data standards program Data type standards, databases, reference data etc Data quality metrics initiative Business rules for - Data type (completeness, integrity, workflow), projects (structure), databases (footprint compliance), standards (compliance) Governance dashboards for transparency Technical Data Framework (TDF) rollout Guidelines, roles & responsibilities, accountability structure Application standardization Technical Applications Portfolio Management Petroliam Nasional Berhad (PETRONAS)

10 Contents Objectives Requirements for global governance Key supporting initiatives Architecture elements Global governance readiness Dashboard designs Concluding remarks Petroliam Nasional Berhad (PETRONAS)

11 IQM - Architecture User interface Central Web Client Remote Web Client Web clients from anywhere on the company network can configure IQM and see results Web forms Database Batch engine IIS (Internet Information Services) Web server Configuration/reporting Configuration/results DB Metrics Engine IQM Web server and the IQM database are centralized Query engine writes metrics back to central database Query engine in central runs against central and remote databases The query engine can run once, as a nominated global user, or multiple times, against each remote site EP Data Oracle Oracle Oracle Oracle Oracle Oracle Petroliam Nasional Berhad (PETRONAS) 2014 Diagram courtesy of Exprodat Inc. 11

12 A G G R E G A T I O N Data Quality Metrics Aggregation (concept) Single Metric Multiple Query Sets Multiple Target Sets MULTIPLE QUERY SETS MULTIPLE TARGET SETS Single Metric Query Set Single Query Single Query Single Query Single Query PROJECT DATABASE PROJECT DATABASE PROJECT DATABASE PROJECT DATABASE OTHER DataBases OTHER DataBases OTHER DataBases MULTIPLE QUERIES MULTIPLE TARGETS Single Metric Single Query eg. select well_name from well_master; PROJECT DATABASE TARGET Petroliam Nasional Berhad (PETRONAS)

13 Data Focus Business Focus Data Quality Metrics Aggregation (practice) The (Enterprise) Dashboard The (Enterprise) Data Quality Trend Regions of Interest A B C D E F etc. Assets of Interest Databases of Interest Data of Interest Data Element of Interest Petroliam Nasional Berhad (PETRONAS)

14 Contents Objectives Requirements for global governance Key supporting initiatives Architecture elements Global governance readiness Dashboard designs Concluding remarks Petroliam Nasional Berhad (PETRONAS)

15 Global governance - scenarios Country without data export restrictions Country with data export restrictions Central office IQM Metrics engine Our EP databases (Oracle & SQL Server) Our EP databases (Oracle & SQL Server) Our EP databases (Oracle & SQL Server) Wells Projects Logs Wells Projects Logs Wells Projects Logs Implement default architecture Implement partly distributed architecture Petroliam Nasional Berhad (PETRONAS)

16 IQM Architecture Partly distributed User interface Central Web Client Remote Web Client Web clients from anywhere on the company network can configure IQM and see results Web forms Database Batch engine IIS Web server Configuration/reporting Configuration/results DB Metrics Engine IQM Web server and the IQM database are centralized All query engines writes metrics back to a single central database Central query engine runs against central (and optionally remote) databases The query engine runs in each site, under local control No data leaves the country, only results Metrics Engine Local query engine captures metrics from local databases EP Data Oracle Oracle Oracle Oracle Oracle Oracle Petroliam Nasional Berhad (PETRONAS) 2014 Diagram courtesy of Exprodat Inc. 16

17 Contents Objectives Requirements for global governance Key supporting initiatives Architecture elements Global governance readiness Dashboard designs Concluding remarks Petroliam Nasional Berhad (PETRONAS)

18 DQ Dashboard designs 4 candidate structures 1 By Database DB Examples: FINDER CDS EDM OPENWORKS 2 By Datatypes DB DB Examples: Well Header Deviation Checkshots DB By Projects 3 Examples: 4 Petrel Studio By Workflows Work in progress DB DB DB DB Petroliam Nasional Berhad (PETRONAS)

19 DQ Dashboard designs Combination 1 & 2 By Database & Datatypes A B C D E F G H I J K L Datatypes Databases Petroliam Nasional Berhad (PETRONAS)

20 DQ Dashboard designs 3, By projects April 2014 May 2014 Petroliam Nasional Berhad (PETRONAS)

21 Concluding remarks Architecture is an important aspect to consider in any implementation A data quality metrics initiative needs to be flexible and scalable Sustainability aspects of such an initiative must not be underestimated A data quality metrics program is not short term, therefore ensure there are short term deliverables to maintain credibility Petroliam Nasional Berhad (PETRONAS)

22 Thank you Petroliam Nasional Berhad (PETRONAS)