Small Company MDM and Information Portal Implementation
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1 Small Company MDM and Information Portal Implementation Laredo Energy has implemented a master data management solution for well data and an information portal to deliver this "most trusted data" to the company's geoscientists, engineers, executives, and landmen.
2 Project Timeline for MDM and iops Data Mapping w/steve Cooper iops Beta Deployed to Geos Launched iops To All Users Dir. Svys. Daily Prod. 70K Wells to 350K PPDM in a Box MDM: Drilling Info Loading, Openspirit Preparation iops: Silverlight Conversion, Sharepoint Integration, Peloton Integration, st PPDM Meeting - Lightbulb Moment for MDM 1 st PPDM Presentation - PPDM Edit - ArcGIS Server 2nd PPDM Presentation - NeuraDB - FME Calgary AGM Presentation - Silverlight
3 About Laredo Energy Geographically focused South Texas natural gas producer 3 geoscientists, 5 engineers, 2 landmen, plus techs, executives, and back-office staff 2 rig program (TDs of 8,000-14,000 ft) ~14 horizontal shale wells drilled ~40 wells operated producing wells, ~300 non-op ~160,000 gross lease acres
4 About Laredo Energy - Data ~2,000 square miles of 3D seismic ~350,000 wellbores subscribed ~35,000 electronic well logs (95% tifs) ~3,000 directional surveys ~100,000,000 monthly production records
5 The Problem (From a G&G Perspective)
6 Near Future The Solution
7 Why PPDM? Comprehensive, reliable, and flexible data model Support for data management needs o Auditing o Data Quality o Business Rules o Versioning Vendor neutral Supported by a large number of vendors Active community of experts Free
8 PPDM Master - EIQ Loader Runs in MS Windows and loads to MS SQL Server Automatically loads IHS well data o Daily - well data (20 tables) o Daily - reference codes (30 tables) o Monthly production (5 tables) Managed remotely Performant
9 PPDM Master - EIQ Loader Post Load Processing Triggers synchronize multiple versions (SOURCE) of well and well location data Works for manual input via PPDM Edit of new permits, locations, depths, and elevations Compositing tool is run to aggregate 14 digit well records (completion level) into 12 digit (wellbore level) Monthly production data is formatted into a pivot table for performance reasons
10 NeuraDB Bulk loaders for well logs (.tifs and.las) and well reports (documents) Management interface for logs & docs Industry-best log viewer/editor in Neuraview Tools for power users Neurasection NeuraDB ArcGIS extension Neuralog Neurascanner
11 PPDM Edit WELL WELL_VERSION
12 Well Data to GIS Safe Software FME PPDM well data export to ESRI SDE
13 iops Landing Page
14 iops - Well Search
15 iops Map Search Results
16 iops Silverlight Map - Well Identify
17 iops - Well Details
18 iops - Production
19 Tech Providers Custom Solutions (E&P Specific) PPDM 3.8 Energy IQ Neuralog Idea Integration Shrink Wrap Technologies ESRI ArcGIS Server, SDE, Web ADF Safe FME MS SQL Server, IIS, ASP.net (C#) Developer Express (asp.net user interface components) Telerik (Silverlight user interface components) Data Providers/Sources I.H.S. Well and Production P2E: Well coordinates TGS: Directional Surveys RRC: logs, permits
20 Project Timeline for MDM and iops Data Mapping w/steve Cooper iops Beta Deployed to Geos Launched iops To All Users Dir. Svys. Daily Prod. 70K Wells to 350K PPDM in a Box MDM: Drilling Info Loading, Openspirit Preparation iops: Silverlight Conversion, Sharepoint Integration, Peloton Integration, st PPDM Meeting - Lightbulb Moment for MDM 1 st PPDM Presentation - PPDM Edit - ArcGIS Server 2nd PPDM Presentation - NeuraDB - FME Calgary AGM Presentation - Silverlight
21 Improve the data quality for interoperability with SMT o Directional Surveys o Elevations, Finish loaders for Drillinginfo.com data MDM Enhancements Take advantage of the features of PPDM in a Box Load new data, such as, tops, dates, prospects, etc..
22 iops Enhancements Total Silverlight Conversion Operations calendar (Peloton Integration) Land opportunity collaboration app. development Link to unstructured data (Sharepoint?)
23 Benefits of the Project (s) Data model supported by multiple vendors Reduced number of applications needed to maintain data. Ability to blend in-house knowledge with vendor data. Reliable answers to complex questions. Customizable for company and individual needs. Technology stack is robust, scalable and here to stay. You ve given us all our data and it s fast! Paul Thompson, Laredo Energy Geoscientist
24 Questions?
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