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![Page 1: The last data taboo - DEVEX · PDF fileThe last data taboo DEVEX conference 19th May 2016 Jonathan Jenkins, Director NDB Jocsiris Nava, Senior Petroleum Engineer, NDB ... Master Workflow](https://reader034.fdocuments.in/reader034/viewer/2022052608/5aa4e6117f8b9afa758c7ca1/html5/thumbnails/1.jpg)
The last data taboo
DEVEX conference 19th May 2016
Jonathan Jenkins, Director NDB
Jocsiris Nava, Senior Petroleum Engineer, NDB
Abhi Kohok, Senior Reservoir Engineer, NDB
Victoria Turner, Subsurface Data Manager, Centrica PLC
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What’s the fuss about
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Improve
Asset
Stewardship
Gunther Newcombe OGA April 2016
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Production Data 101
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Focus on Allocation
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Fluid Dynamics
Reservoir Engineering Handbook, Tarek Ahmed, Elsevier 2010
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How confident are you in well allocation
figures?
Confident or Very Confident 45%
Unconfident or Very Unconfident 55%
An inkling of a problem…..
Reservoir Engineer typical survey results
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Compliance
SOX
EuroSOX
(Directive
84/253/EEC)
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Allocation
Methodology
OGA coming to get you
[You were meant to do it
this way]
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Data Maturity
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Production Data
Maturity Chart
Non-existentOrganization has no data governance approach, does not understand the need for governance and has no stewardship functions.
Ad hoc
Organization performs occasional, non-standardized stewardship activities but has no formal data governance approach.
Standardized
Organization has implemented some standard data governance practices and has standardized the stewardship role.
Committed
Organization has instituted formal data governance for all business units and has dedicated stewards for all business units.
Consolidated
Data governance and stewardship are coordinated across the enterprise, involving business and information technology and management in partnership.
5
23
4
1
Adapted from: Real-World Decision Support (RWDS)
Journal » Volume 1, Issue 33 - October 2006 Issue » Anne
Marie Smith: Data Governance Maturity - An Overview
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It was 20 years ago today
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Internal
Data
Flow
Production Data
Production Engineers Reservoir Engineers
Hydrocarbon
Accounting
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A typical Production Data Listing
Multiple
locations
for same
data
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A constructive tension
Task Modelling
Frequency Daily
Task Counting
Frequency Monthly
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Supporting production
You
You
You You
2016 Aupec / NDB Data Maturity survey
1:20Support:Users
1:35Support:Users
1:43Support:Users
1:83Support:Users
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Data folk – how Petroleum Engineers
like it
Data Management
(DM)
You, the Engineer
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Information Technology (IT)
Information Services (IS)
Data folk – what you get
Information Management (IM)
Project PDM
You, the Engineer
Corporate DM
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Information Technology (IT)
Information Services (IS)
Data folk – an ideal compromise?
Information Management (IM)
Project PDM
You, the Engineer
Corporate
DM
Asset Data Manager
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Production Data Management – as is
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Production
Data is in
excel hell
Image taken from www.clearpointstrategy.com
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What’s wrong with spreadsheets?
Manual data entry error
Broken links to other sheets
Not stored centrally – c drive common
Poor collaboration
Non QC’d algorithms
Version Control non existent
Poor security
No compliance with regulator
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Oil Volume Comparison
Well A Well BSimulation
Engineers
HCA
Simulation
Engineers
HCA
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Production Data – an ideal model
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Death by Process
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Gather the
workflows..
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Raw Data QC AllocationCharting &
InterfaceAnalysis Reporting
Master Workflow – Field A
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Select tool….
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Detailed analysis of PDMS software
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PE tools in the market
xxx
xxx
xxx
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HCA tools in
the market
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Scoring Matrix
Tool A Tool C Tool D Tool ETool B
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Two steps
1. Create a common data store
2. Automate the processes
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Plot the data flow
excel spreadsheets
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Follow Standards
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Create links to
PDMS
Production
Datastore
‘tags’
Historian
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Migrate to PDMS
• Historical Data
• QC
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Workflow-1 in PDMS
Automate
Automate
Semi -Automate
Automate
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PDMS data OFM data
Live
Continuous
Connection
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Enabling a real-time dashboard
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Where we are - Maturity Chart
Non-existentOrganization has no data governance approach, does not understand the need for governance and has no stewardship functions.
Ad hoc
Organization performs occasional, non-standardized stewardship activities but has no formal data governance approach.
Standardized
Organization has implemented some standard data governance practices and has standardized the stewardship role.
Committed
Organization has instituted formal data governance for all business units and has dedicated stewards for all business units.
Consolidated
Data governance and stewardship are coordinated across the enterprise, involving business and information technology and management in partnership.
5
23
4
1
Adapted from: Real-World Decision Support (RWDS)
Journal » Volume 1, Issue 33 - October 2006 Issue » Anne
Marie Smith: Data Governance Maturity - An Overview
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Our journey
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PDMS is the basis for better science
WELL RATE ESTIMATION EXTERNAL PROSPER MODELS
INPUT PROCESS OUTPUT
Fire -up Latest Prosper Model
Run Lift Model
Run IPR Model
Allocated Rates - qg
PI Process - Pth, Tth data
Well flowing bottomhole pressure (Pwf)
Estimated P*
Estimated Rates: Store & Plot
Use Prosper modelling to estimate rates?
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PDMS forces set Roles &
Responsibilities
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PDMS challenges our assumptions
Our Flow Meters
Historical data in EC
Anaysis of past data
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Excel – the Return
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Let in the Light
• Scale change time saving for
engineering processes
• Seconds to run reports, not hours.
• Improved Allocation consistency
between HAC and PE's
• New workflows now
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PDMS – first step
i-field programme
$9m investment
Return of $31m in 8 months