A Deterministic Evaluation of eismic Fidelity using Velocity Modeling ...

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a Figure 84. Counter regional fault in the southwest quadrant of the survey that is poorly imaged in the PSTM (a) and focus with greater detail in the well-based data (b). b 138
Channel nnen a Channel b Figure 85. Example of PSDM (a) coherence data used to identify one of several channels in the Miocene (2925 feet). PSTM (b) also shows channels but not with as high a resolution 139
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Chapter 1 Introduction 1.1 Summary
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1.2.1 Geology Vinton Dome is a pier
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layer in land data that in extreme
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logs as being an effective approach
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Chapter 2 Geology of Vinton Dome 2.
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The Gulf of Mexico Basin contains U
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developed from repetitive episodes
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of the upper Frio. Overlying the lo
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structures form by the differential
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Dividing the Gulf of Mexico Basin i
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2.6 Geologic Modeling Historically,
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2.6.1 Vinton Geology Analysis of se
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surface and a number of small subma
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established the Mississippi delta a
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Figure 2. Outline of the extents of
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Figure 6. Salt sediment contacts us
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Figure 10. Fault pattern representa
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Figure 14. Stratigraphic column of
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Top Hackberry Sand Hackberry Base N
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Figure 18. Structure map contoured
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Gyroidina scalata Outer shelf Gyroi
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Upper Frio Sands A Sand base B Sand
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Top Anahuac Middle Shelf Heterosteg
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Miocene sands Figure 27. Spontaneou
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Vinton Dome Figure 30. Late Miocene
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3.1 Introduction Chapter 3 Processi
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3.3 Processing My primary objective
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38-42). For QC I would brute stack
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Another significant issue was to id
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Table 2 Final processing flow Input
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Number of stacked traces 12.5km 12.
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TWT seconds a 12.5km TWT seconds b
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TWT seconds 12.5km Figure 38. Brute
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Chapter 4 Velocity Modeling and Pre
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quality motivated a reassessment of
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The layer-based approach is much mo
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of seismically derived velocities.
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To test differences between seismic
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ased data, indicating higher fideli
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4.5 Conclusions and Discussion I co
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By using sonic logs the velocities
Page 87 and 88: Figure 50. Velocity cube of the sed
Page 89 and 90: Velocity in ft/sec Figure 52. Prest
Page 91 and 92: Depth in kilo-feet a. b. Figure 56.
Page 93 and 94: Figure 59. Graphic user interface s
Page 95 and 96: Truncation of sediment onto salt a
Page 97 and 98: s 1 s 1 S e C 0 1 O W 34 M M 0 C a
Page 99 and 100: Prestack time migrated velocity mod
Page 101 and 102: Salt on PSTM Prestack time migrated
Page 103 and 104: Time in seconds Bright spot 12.5km
Page 105 and 106: PSTM prestack time well-based migra
Page 107 and 108: attributes also provided me with an
Page 109 and 110: types of coherence. The first type
Page 111 and 112: comparisons, those at the same dept
Page 113 and 114: Identifying reduced fidelity in the
Page 115 and 116: Faults Channel Figure 72. PSTM cohe
Page 117 and 118: Depth slice of coherence cube from
Page 119 and 120: Compartmentalized faults 5895 feet
Page 121 and 122: Well-based PSDM - faults traced fro
Page 123 and 124: Channel Radial faults 3985 feet a C
Page 125 and 126: Well-based PSDM Prestack time migra
Page 127 and 128: Well-based PSDM Faults imaged with
Page 129 and 130: structure and they must complement
Page 131 and 132: Imaged poorly was a fault identifie
Page 133 and 134: interpretation of the high angle gr
Page 135 and 136: Inline 1391 well-based PSDM Inline
Page 137: Figure 83. Interpretation showing t
Page 141 and 142: yet there are several issues regard
Page 143 and 144: 7.2.3 Attributes I used attributes
Page 145 and 146: seismic data provided a more detail
Page 147 and 148: educed the noise in the field data
Page 149 and 150: PSDM data to evaluate velocity mode
Page 151 and 152: 10, Society of Exploration Geophysi
Page 153 and 154: Marfurt, K. J., Kirlin, R. L., Farm
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