Honing in on Optimal Well Spacinglp.hartenergy.com/rs/433-ODK-889/images/1.08 Raoul... ·...
Transcript of Honing in on Optimal Well Spacinglp.hartenergy.com/rs/433-ODK-889/images/1.08 Raoul... ·...
Confidential. © 2017 IHS MarkitTM. All Rights Reserved. Confidential. © 2017 IHS MarkitTM. All Rights Reserved.
Honing in on Optimal Well Spacing
Alireza Haghighat
Senior Technical Advisor
Raoul LeBlanc
Vice President, North American Unconventional Oil and Gas
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Based on IHSM opportunity screening, Susquehanna county has the highest
productivity in the Marcellus shale. But how many wells should be drilled?
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Within Susquehanna county , an undeveloped area was selected for development
study and evaluation
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Geology and Completion data acquired from Kingdom software. The average
values will be used for modeling and optimization.
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Proprietary well data(rate/pressure) was used to perform Rate Transient Analysis
and estimate Well/Reservoir characteristics. Then numerical simulation was built
and history matched to represent reservoir behavior in the development area.
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Using geological data, Type Well and RTA results, a numerical model was
designed to be a representative well in the development area for optimization
studies.
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A section of 4000 by 6000ft was considered for development. 4 different scenarios
for well spacing were assumed in multi-well model.
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Fracture Half-length varied from 350 to 600ft. This corresponds to various proppant
loading from 1500 to 4000 #/ft (6 scenarios).
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Half-length:350ft
Half-length:500ft
Half-length:600ft
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33 Simulation runs covered all the combinations between well spacing, proppant
loading and number of fractures. The optimized development plan is 1200’ well spacing, 4000#/ft and 50 fractures.
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Best
Scenario
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EUR vs Spacing and Proppant Loading Heat Map
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Best
Scenario
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Economic analysis was performed for all the scenarios. Higher Pad NPVs are
achieved by higher well spacing, medium proppant loading and number of clusters.
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Best Scenarios
Best Scenarios
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Pad NPV trends versus well spacing, proppant loading and number of clusters.
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Optimum Solution
Optimum Solution Optimum Solution
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Conclusions
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• Well interference depends on a number of critical variables:
>The local geology and rock properties
>Well design and landing zone
>Completion design – especially stage spacing and frac intensity
>Timing of production versus other wells (co-developed vs child wells)
>Incremental costs as well complexity and intensity increase
• The answer to the question of optimal spacing is a curve of possible combinations, not a single point
• Subsurface optimization must then be further refined to determine the
economically optimal design and spacing at the well or pad level
• Proper integration of all the relevant factors can now be accomplished in
minutes using new algorithms and the power of the cloud, rather than hours