identifying completion effectiveness using type well analysis
TRANSCRIPT
Information | Analytics | Expertise
© 2015 IHS / ALL RIGHTS RESERVED
IHS
MARCH 5, 2015
Jose Inciarte
Identifying Completion Effectiveness using Type Well Analysis
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Agenda
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• Introduction
• Montney Play Overview
• Completion Technologies
• IHS Harmony Workflow
• Industry Standard Type Well Workflow
• Proposed Type Well Work Flow
• Field Examples
• Conclusions
• Q&A
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Unconventional Completions
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Data Integration
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Montney: Location and overview
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Area of Study
• Montney – Regional Heritage Field (2008 – 2014)
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Company A ~ 86 Wells
Company B ~ 124 Wells
Company C ~ 224 Wells
~ 4000 km2
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Montney: Play characteristics and well configuration
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Technology Types
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CT Cut/Port
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Source: NCS Energy Website
http://ncsmultistage.com/content/sleevesannularfrac.html
Note that there is a tool downhole during the frac.
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Ball & Seat
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http://www.halliburton.com/public/tttcp/contents/Books_and_Catalogs/web/ServiceTools/H03280_04_Horizontal_Systems.pdf
Note that “RapidStage” is a Halliburton trademark name for their frac ports.
With this technology, there is no tool downhole. Only a ball seated in the frac port.
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Plug & Perf
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Source: Canadian Discovery Digest Spark
http://spark.canadiandiscovery.com/activity-review/nexen-shale-gas-completions-go-
unplugged
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Industry Standard Method (Average Type Well)
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Standard Method
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Grouping wells
Plot Log(q) vs. Time or Flowing time
Shift Peak rate to time Zero.
Best fit decline curve (using or not using the number of wells)
Average
P10
P50
P90
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Standard Method Limitations
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• Peak Rate shifts data to the left and eliminates the cumulative production
associated with the analysis, which impacts the EUR estimate, the initial
decline, and potentially the interpreted “b”
• Average Curve skews the data signal:
In the early data rate restriction on some wells lower the early
average line impacting “b” and “di”
Late time is dominated by stronger wells that are still producing
Average Lines tend to minimize “b” value and “di” affecting EUR
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Average Line
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Proposed Method
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Proposed Method Goals
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• Focus on reservoir signal expectations when
matching Arps parameters
• Promote consistency
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Linear Flow
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For Horizontal Multifrac Wells we consistently see linear flow in the diagnostic
plot
= Linear Flow
b=2 for Linear Flow
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Rate - Time
Rate-Cumulative
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History Match
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Test Design Using Montney Parameters and Typical Well Configuration
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Rate vs Cumulative Production from Analytical EFR Model
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Rate vs Cumulative Production from Analytical EFR Model / Decline Analysis
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Montney Typical Decline vs Average
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Best Fit Average Rate
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Proposed Method
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Proposed Method
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Plot Rate vs Cumulative Production
Uncheck the average line from “Data Sets”
Add a Decline analysis and set the predetermined parameters “b”
Align the type well decline curve with the P10, P50, or P90 line to extract
consistent results
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Heritage Field Examples
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Heritage Field Examples
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Heritage Field Examples
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Heritage Field Examples
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Heritage Field Examples
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Conclusions
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• IHS Harmony in conjunction with Canadian Discovery Frac Data and IHS
AccuMap Production Data becomes a very useful tool to evaluate
completion Effectiveness based on different parameters.
• As average line is not representative of the real high draw down potential
they should be use with caution to evaluate well performance specially in the
early and late time.
• Use of analytical modeling to support expectations for “b” and “di” is
encouraged
• When normalizing rates with completions data be careful not to merge
related parameters
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Acknowledgements
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• Ralph McNeil, Senior Mentor of our Operations Team
• IHS Operations Team
• Canadian Discovery
• Audience and Customers
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Questions?
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Technical Support:
IHS Harmony
IHS Decline Plus
IHS RTA
Direct: 403.206.3419
Toll Free: 1.800.625.2488
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