Karteikarten
3d seismic interpetation test 2
Karten in diesem Stapel (40)
- 1A seismic texture classification cube is generated by?combining
the textural homogeneity,
contrast, and randomness
via a clustering analysis
in the texture attribute
space. - 2Seismic texture is anacoustic expression
of a stratigraphic texture via wavelet convolution. - 3—Texture image showing channel/ levee system
- 4—Mass transport complex
- 5Structural curvature refers to thelateral secon derivatives of reflector time or depth.
- 6Whats the diffrence between these two shortwave length curvatures?The left one is structural the right one is Amplitude curvature
- 7What are type of channels is the orange arrow and red arrow pointing to?In the coherence strat cube the yellow arrows show negative compaction, which means shall filled, while the red arrow shows positive compaction meaning sand filled.
- 8What type of differential compaction is shown?Positive compaction as shown on the seismic amplitude.
- 9Type of compaction shown in the curvature images.Positive compaction, most likely sand filled. The negative curvature shows the interfluves which are structually lower and shale filled
- 10—Diffrential compaction over a carbonate reef
- 11—Diffrential compation over carbonate reef.
- 12Euler curvature can be used tomeasure apparent curvature to highlight folds, flexures and faults.
- 13—Euler curvature highlighting faults and folds at diffrent strikes.
- 14—Curvature allows us to find faults with little vertical offset as shown in the figure.
- 15—Green arrows show longwavelength snyclines and anticlines. White area indicates highly fractured area.
- 16Gaussian curvature is good at showingKart infill since it's the product of two principle curvatures. It's not good at finding faults.
- 17What do the arrows show in the reflector rotation image.Gray arrows correspond to faults have signigicant rotation about fault plane. Such rotation is not show in curvature, and the black arrow indicates a low-fold areas of the data.
- 18—Vector convergence image, Red arrow indicates an angular unconformity, yellow arrow a reverse fault,
green arrow a strike-slip fault, and orange arrows two antithetic faults.Note the convergence of reflectors to the west (in the updip direction) on the east side of the reverse fault indicated in green. In contrast, the rotation about the fault results in reflector convergence in opposite directions (N and SE, or red
and blue) across it.
- 19Thinning attribute is shown, it highlights reflection terminations. Where are the system tracks
- 20The unconformity attribute, highlights sequence boundaries, but also downlap surfaces and transgressive surfaces
- 21What changes occur?left to right imaging improves by increasing temporal resolution and removal of temporal bleeding
- 22What change occurs?Left to right better temporal resolution
- 23What changes?Not the increase in clarity of the diffrent structual elements
- 24—Wavelet based spectral deconvolution and and spectral balancing we can obtain diffrent amplitude vs. fequency spectrums for parts of a horizon.
- 25Matching and exponential persuit decompostion vs.compared to the discrete fourier transform (DFT) and the continuous wavelet transform (CWT)Matching and exponential pursuit decomposition (MPD and
EPD) do not involve windowing of the seismic data and thus
have the best combination of temporal and spectral resolution
as compared to the discrete fourier transform (DFT) and the continuous wavelet transform (CWT). - 26Matching persuit decompostion VS. exponential persuit decompostionEPD is laterally more
stable than MPD and more accurately locates wavelets in time
when wavelets interfere. EDP can also seperate interfering wavelets. - 27What type of anamolies do this produce
- 28Where are the three groups of fault shadows?
- 29What in this image here?
- 30How do you deal with fault shadows?is to
employ prestack depth migration, because depth migration
can effectively handle strong lateral velocity variations across
fault planes. - 31What was corrected for in this image?Fault shadows
- 32What went wrong with this mean curvature?It was computed from the dip of the picked horizon. Compute it from the time slice for better image.
- 33—Fluluvial system
- 34—Shale dewatering
- 35—Curvature anamolies like these are associated with common conversion point velocity analysis
- 36—Examples of large velocity pull-ups on seismic data. Curvature data showing structural 'fabric' and ‘horsts’ generated at depth by velocity contrasts above between strata in carbonate-buildups and evolving siliciclastic units
- 37—Irregular basement seen after depth migration
- 38—“Structural leakage” artifacts introduced by not computing coherence along local dip and azimuth
- 39—Peak spectral frequency co-rendered with seismic amplitude on the vertical slices and with coherence on a time slice at t=2.4 s computed without compensation for dip.
- 40—Errors in the velocity and the irregular (but repetitive) number of offsets in a given CMP bin give rise to “U-shaped” structural features (magenta “U”s) that give rise to the false curvature anomalies.
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- Beschreibung
- Karteikarten am 3d seismic interpetation test 2, erstellt von Colin Pennington am 17/11/2015.
- Erstellt von
- Colin Pennington
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