Building a Trusted Master Data Store Steve Cooper: President EnergyIQ

Transcription

1 Building a Trusted Master Data Store Steve Cooper: President EnergyIQ 7061 S. University Blvd Centennial, CO

2 Alternative Title Things that make my head hurt 2

3 Outline Quality Enhancement Source Data Loading Trusted Master Store Data Analysis and Reporting Data In Integration Transformation Standardization Blending Data Quality Data Objects Business Rules Quality Rules Measurement Data Out API Integration Enhancement Knowledge Capture 3

4 Trusted Master Data Store Key Capabilities Uniquely identifies key Well Components Provides the platform to integrate information across the Well lifecycle Manages multiple sources of data Composites data to deliver the most trusted version Standardizes reference codes and units Presents data of a known quality and history 4

5 Source Data Loading Source Data Quality: As-is Commercial Vendors TGS EIQ: Standard Loaders Service Companies Public/ Govt Log Files PPDM Internally Sourced Dir Srvys Partner Companies Prodn TGS: Envoy EIQ: Generic Loader Docs. Data Quality: IT-QC EIQ: Rules Engine 5

6 Source Data Loading When designing the structure of the Trusted Data Store, we need to consider two requirements: Loading multiple sources of data Integration with other data sources Both situations involve integration on a common identifier Need to clearly understand at what level of the Well we must integrate at This will help define the architecture of the data store and the unique well identification approach To achieve this, we need to start with a common understanding of terms PPDM What is a Well? 6

7 Source Data Loading What is a Well? Establish a common understanding across the enterprise of the components of a Well Which components do we need to uniquely identify to: Load data from multiple sources Integrate data across multiple stores 7

8 Loading Data from Multiple Sources API # Well Wellbore Recompletion

9 Data Integration Reserves Well Reservoir Engineer Wellbore Completion Geoscience Wellbore Trusted Master Store Production Accounting Well Wellbore Completion Land Well Drilling Engineer Wellbore Completion 9

10 Data Transformation Well Classification GAS Gas Well EXP: GAS WELL NFW NEW-POOL WILDCAT NEW POOL WILDCAT EXPENDABLE DISPOSAL DRILLING WASTE DISP HAZARDOUS WASTE DISPOSAL/NON-NUCLEAR EFFLUENT DISPOSAL

11 Well Status & Classification Well Status GAS GAS WELL PRODUCING ACTIVE COMPLETED OIL & GAS D 3O1WIW OWWO - COMPLETED AS 2 OIL & 5 GAS WELL SHUTDOWN FOR CHRISTMAS

12 Well Status & Classification Fluid Type GAS GAS WELL GAS INJECTION WELL GAS WITH OIL SHOWS GTMDSW GSTWOG

13 Data Quality Knowledge Capture Source Data Loading Trusted Master Store Geoscience Analysis Increasing Data Quality Mention IT QC vs geo-qc Jim Stolle Enhanced logs and directional surveys 13

14 Critical Data It is difficult to manage data attributes in isolation It makes more sense to think in terms of groups of related information: Well/Wellbore Header Directional surveys Tests These groups can be defined through Data Objects Attributes Information about the Attributes Information about the Data Object 14

15 Data Objects Data Object Meta Data Informa3on about the Data Object A>ributes Collec3on of data fields which make up the Data Object Business Rules for loading or accessing the Data Object A>ribute 1..N Meta Data Informa3on about the a9ribute Standards Accepted values or value ranges for the a9ribute Quality Rules Set of rules for measuring quality of the a9ribute 15

16 Data Objects We have currently defined over 50 Data Objects Collectively known as the Common Object Model Provides a level of abstraction from PPDM Facilitates implementation of PPDM What is a Well? 16

17 Data Quality Rules The Data Objects provide the necessary framework for defining the Data Quality Rules A Data Quality Rule is the database executable component of the Business Rule statement Wellbore Data Object Business Rule Every depth in a wellbore must be no greater than the measured total depth of that wellbore Data Quality Rules MAX_TVD < FINAL_TD DRILL_TD < FINAL_TD LOG_TD < FINAL_TD PLUGBACK_DEPTH < FINAL_TD WHIPSTOCK_DEPTH < FINAL_TD 17

18 Data Quality Rules Rules deliver a quantified measure of quality: Quality % = 1- Exception Count Population Count 18

19 Data Quality Rules Rule Sets combine rules around a Data Object: Support filtering, scheduling 19

20 Metrics 20

21 Metrics Establish acceptable thresholds and ranges Set meaningful targets for data vendors Assign a value to data in an acquisition Begin to treat data as an asset 21

22 Data Capability Analysis 22

23 Outline Knowledge Capture Source Data Loading Trusted Master Store Geoscience Analysis Increasing Data Quality 23

24 API # Run a query for wells in ND in FRYBERG or STANLEY fields where operator = COOPER OIL & GAS Returns a count of 10: 10 wells? How many wells are there?

25 Benefits Reduction in business workflow cycle time and hence accelerated hydrocarbon production via: Immediate access to data of known quality and maturity Increased ability for geoscientists and engineers to collaborate and share results Elimination of the gap between users active project data and higher quality master data. Foundation for enterprise level expansion: Open database platform for data accessibility Best of breed commercial solutions providing long term stability and support Web services based interface around Common Object Model for extensibility 25