Overview of Available LTMO Methods

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Iterative Thinning Details • At least 8 sampling events per well • NDs set to common imputed value • Complex trends, seasonal patterns OK – LWQR fits non-linear trends • Median optimized interval can be used to set operational sampling schedule 30
Iterative Thinning Summary 90 80 70 60 50 40 30 20 10 0 N Wells LQ Median UQ 25 24 wks 47 wks 67 wks 31
Page 1 and 2: Overview of Available LTMO Methods
Page 3 and 4: Definitions • Qualitative Evaluat
Page 5 and 6: LTMO Major Components General Proce
Page 7 and 8: Qualitative Considerations • Look
Page 9 and 10: Example Qualitative Logic for Optim
Page 11 and 12: Qualitative Considerations (cont.)
Page 13 and 14: Quantitative LTMO Approaches • Ap
Page 15 and 16: Quantitative Approaches (cont.) •
Page 17 and 18: Quantitative LTMO Involves Spatial
Page 19 and 20: 19 What’s Out There?
Page 21 and 22: Limitations of MAROS • Site model
Page 23 and 24: Data Input & Data Reduction Well Ne
Page 25 and 26: Uses Delaunay Triangulation Well Re
Page 27 and 28: GTS Temporal Analysis • Flexible
Page 29: Iterative Thinning Example Concentr
Page 33 and 34: 33 Base Map Example
Page 35 and 36: Spatial Analysis (cont.) • LWQR B
Page 37 and 38: Parsons’ 3-Tiered LTMO At A Glanc
Page 39 and 40: 3-Tiered Approach Qualitative Evalu
Page 41 and 42: 41 3-Tiered Approach Spatial Evalua
Page 43 and 44: Combining Qualitative & Quantitativ
Page 45: Summary • A variety of LTMO tools

Overview of Available LTMO Methods

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