10 Things About Data Types. Part #2. October 22, 2014 PROFESSIONAL PETROLEUM DATA MANAGEMENT ASSOCIATION 1 10/24/2014
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1 PROFESSIONAL PETROLEUM DATA MANAGEMENT ASSOCIATION 10 Things About Data Types Part #2 October 22, /24/2014
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23 Ten things about data types Table groups, 22 October 2014 at PPDM Data Management Symposium Question: What 10 things should you pass along to a data analyst newly-assigned to this subject? Well formation picks 30% background/ knowledge transfer 1. theory - basic understanding of what a formation is 2. capture process: A physical manual; B tools 3. storage / databasing - e.g. formation tables, pick process 70% data management 4. sources - govt picks, vendor picks, proprietary picks 5. loading and blending of data (source hierarchy) 6. quality control processes (load reports, fail logs) 7. reprocess of failed data 8. global checks before publishing. * All picks not just recent loads 9. two way communication - internal, external 10. broad customer support / notifications Partnerships 1. what group stewards the agreements 2. where (indexed how?) are the physical and digital agreements kept 3. what is SOR (System of Record) for ownership %, US division order & title 4. what data is received - frequency, types, SOR, tracking 5. what data is sent - frequency, types, tracking 6. is the data mapped - who QCs, updates? 7. regional variations in agreement requirements 8. financial tracking - who, how often, do they pay you / appropriate / do you pay them 9. tracking for downtime - wells shut in, held by production, pay to hold Production volumes 1. what system is used to capture data; who enters it 2. flow of data 3. reporting 4. timing of data 5. variable definitions and formula values - volumetrics 6. business definitions 7. data quality - process, procedure & rules 8. what are the data components 9. dashboarding 10. communication & Support! 13_Ten things about data types Part 2 (word doc)_trudy CurtisAbout Data Types_P2_ Copyright 2014 PPDM Association. All rights reserved
24 Well directional surveys Well core data 1. key attributes: md, incl, az, KOP, lat/lng/crs, north ref, grid conv angle, mag decl, ref elev, position xxx: TVD, Xoffset, Yoffset 2. data formats: CSV/Excel, raster, LAS, WITSML, 297 (IHS), A/C (TGS) 3. where do they live? a. Apps/DB used: OW, Petrel, Petra, EDM, Geolog, Geographix,etc. b. DBs stored - Recall, Finder, EDB, etc. 4. Systems of Record - drilling? geoscience? data mgmt? 5. Data lifecycle - acquisition, receipt, load, QC, unload, move 6. vendors and acquisition companies 7. match DS to well - how? 8. experts to talk to - home number, cell number, , SSN, bank PIN ;) 9. What Is A Well? - autographed by Trudy and Cooper 10. Training resources - online, internal, industry organizations, PPDM classes 11. Directional survey chalk talk (sketch) including CRS, datum, KOP, etc. 1. core data is related to a well 2. core data is forever 3. cores have a data lifecycle which is critical to mgmt of data 4. core data includes physical, structured, unstructured 5. data related to cores is not static but accumulates over time 6. regulatory and corporation obligations for core storage and data storage 7. key element: geospatial 8. who ordered the core; why ordered is relevant to acquisition, analysis and measurement 9. core has data relationships to well components and other geotechnical elements 10. (sketch of a well path and a core) Well identifiers The root / the hook 1. WIAW - well identification 2. why important to business? Dollar value is critical well count, ownership, production / royalties, lease expiry, # of dry holes, etc. 3. internal / external stakeholders/ customers 4. ID convention for area - length, type, meaning 5. data sources (internal / external) 6. laws - compliance (int/ext) 7. regulatory contacts 8. "systems" concept / framework, governance 9. SME for area 13_Ten things about data types Part 2 (word doc)_trudy CurtisAbout Data Types_P2_ Copyright 2014 PPDM Association. All rights reserved
25 10. industry resources - PPDM, regulatory sites, internal Seismic interpretation data 1. stakeholders 2. data types - Hor, FLT, TD 3. location of data - file / structure 4. applications 5. ownership of data 6. naming conventions 7. approval process 8. access controls 9. reporting processes 10. geomatics / projections 11. define role: job definition, seismic capabilities, area of interest 12. establish workflow: sketch of workflow; sketch of practical application Core sample analysis Spatial data 1. core location - wellbore depths, acquisition in field 2. sample location - sample ID, core ID, depth 3. analysis - data from lab - property, measure, prelim load, merge data - multiple labs/ sources / date 5. completeness - verify to contract and customer expectation 6. understand business expectations and workflows (petrophy, geol, eng, etc.) 7. tracking sheets, QC reports, data rules; value domain for data types e.g. porosity expected to be < understand capability / limit of machine validation and QC 10. data versioning and responsibilities 11. archive (governance) - source docs, CRS must be identified - datum, EPSG code 2. legal description 3. land grid - source, priority 4. capture source / priority for all data 5. if GPS data is available give it priority 6. keep track of version of spatial data 7. elevation data - elevation model used 8. grid north vs magnetic north vs true north 9. data loading issues - multiple format 10. keep in mind other than ESRI/ARCGis consumers 13_Ten things about data types Part 2 (word doc)_trudy CurtisAbout Data Types_P2_ Copyright 2014 PPDM Association. All rights reserved
26 Regulatory approval process 1. communication needs of stakeholders 2. when - submission schedule 3. reg rqmts at federal, local, enviro stakeholders - internal / external 5. end to end workflow - aggregation and approvals 6. what to submit - forms and content 7. common problems 8. data sources / systems - internal / external 9. understanding the whole regulatory scope 10. risk mgmt Regulatory filing Well tests Well logs 1. jurisdiction 2. sources of data (third party) 3. timing of regulations 4. what type? 5. how to submit - electronic, paper, CD/DVD, etc 6. process for the QC 7. getting to know your regulator 8. getting to know your business units 9. compliance 10. asset life cycle - auth, ops, closure, liability 1. internal & external stakeholders 2. expectations & timelines 3. workflow / data flow 4. data format 5. DM application 6. data QC process 7. data mapping / modelling 8. data loading process 9. data extraction / export 10. data analysis 1. manage mnemonic master data 2. QC log header 3. match well identity 4. log file storage, retrieval, naming conventions 13_Ten things about data types Part 2 (word doc)_trudy CurtisAbout Data Types_P2_ Copyright 2014 PPDM Association. All rights reserved
27 5. import process 6. manage log type / logging tool master data 7. check / handle out of range values, missing depths 8. identify raw vs interpretive 9. present log catalog to users 10. validate A&C sections Seismic field operations 1. approval process - existing approvals, area of interest, environment, portal orientation - sample projects 3. define projects / surveys - existing projects 4. identify stakeholders, funders, interests 5. decision criteria - money, land, timing, etc. 6. communication the plan - survey, cutting, drilling, shooting 7. repository - all information in one place, shared; portal mgmt 8. daily process for tracking 9. audit 10. delivery of final seismic Unstructured data 1. content - types 2. file types 3. security 4. storage 5. indexing / search / delivery 6. content mgmt 7. metadata 8. performance metrics 9. quality control / exceptions 10. terms & definitions 13_Ten things about data types Part 2 (word doc)_trudy CurtisAbout Data Types_P2_ Copyright 2014 PPDM Association. All rights reserved
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