1. A computer-implemented method for analyzing attributes to identify geologic features within a geologic volume of interest, the method comprising:
obtaining an attribute volume representing an attribute of the geologic volume of interest, the attribute volume having been formed from a plurality of offset stacks andor angle stacks that represent energy that has propagated through the geologic volume of interest from one or more energy sources to one or more energy receivers, an individual energy source being physically separated from an individual energy receiver by a corresponding source-receiver offset, each individual offset stack being formed from a corresponding set of seismic traces having substantially equivalent source-receiver offsets, each individual angle stack being formed from corresponding sets of seismic traces having substantially equivalent source-receiver angles;
flattening the attribute volume according to time, depth, slope, vertical, dip, dip azimuth, horizon, or relative to an interpreted horizon;
generating a sequence of slices from the flattened attribute volume; and
identifying separate geologic features represented in the slices based on a sequential analysis of the slices.
2. The method of claim 1, wherein identifying separate geologic features represented in the slices comprises identifying features having different rates of movement between slices in the sequence of slices.
3. The method of claim 1, wherein the sequential analysis of the slices comprises generating an animation from the slices, and identifying geologic features from the generated animation.
4. The method of claim 1, wherein the sequential analysis of the slices comprises generating optical stack volumes corresponding to individual ones of the slices.
5. The method of claim 4, wherein generating the optical stack volumes comprises adjusting the opacity of one or more of the slices and combining the one or more of the slices into a single image.
6. The method of claim 5, wherein the sequential analysis of the slices further comprises:
generating an animation from the optical stack volumes such that individual frames include one of the optical stack volumes; and
identifying geologic features from the generated animation.
7. The method of claim 1, wherein the one or more attributes include one or more of velocity, coherence, Hilbert transform, amplitude, instantaneous frequency, spectral decomposition, anisotropy, attenuation, impedance, density, Poisson’s ratio, acoustic properties, elastic properties, petrophysical properties, rock properties, fluid properties, reservoir properties, seismic response, geologic description, lithologic classification, dip, magnitude, curvature, roughness, dip azimuth, or spectral shape.
8. The method of claim 1, wherein the geologic features include one or more of a fluvial channel, delta, deltaic fan, submarine fan, reef, sandbar, point bar, fault, unconformity, dike, sill, salt body, crevasse splay, reservoir flow unit, fluid contact, turbidite channel, or turbidite sheet.
9. The method of claim 1, wherein individual ones of the plurality of offset stacks andor the plurality of angle stacks include processed data, migrated data, unmigrated data, imaged data, andor raw data.
10. A system configured to analyze attributes to identify geologic features within a geologic volume of interest, the system comprising:
one or more processors configured to execute computer program modules, the computer program modules comprising:
an image volume module configured to obtain an attribute volume representing an attribute of the geologic volume of interest, the attribute volume having been formed from a plurality of offset stacks andor angle stacks that represent energy that has propagated through the geologic volume of interest from one or more energy sources to one or more energy receivers, an individual energy source being physically separated from an individual energy receiver by a corresponding source-receiver offset, each individual offset stack being formed from a corresponding set of seismic traces having substantially equivalent source-receiver offsets, each individual angle stack being formed from corresponding sets of seismic traces having substantially equivalent source-receiver angles;
the image volume module further configured to flatten the attribute volume according to time, depth, slope, vertical, dip, dip azimuth, horizon, or relative to an interpreted horizon;
the image volume module further configured to generate a sequence of slices from the flattened attribute volume; and
a feature identification module configured to identify separate geologic features represented in the slices based on a sequential analysis of the slices.
11. The system of claim 10, wherein the feature identification module is configured to identify the separate geologic features represented in the slices, at least in part, by identifying features having different rates of movement between slices in the sequence of slices.
12. The system of claim 10, further comprising an animation module configured to generate an animation from the slices, wherein the feature identification module is configured to identify geologic features from the generated animation, and wherein the sequential analysis of the slices comprises the identifying of the geologic features from the generated animation.
13. The system of claim 10, wherein the image volume module is further configured to generate optical stack volumes corresponding to individual ones of the slices, and wherein the sequential analysis of the slices comprises the generating of the optical stack volumes.
14. The system of claim 13, wherein the image volume module is configured to generate the optical stack volumes, at least in part, by adjusting the opacity of one or more of the slices, and by combining the one or more of the slices into a single image.
15. The system of claim 14, further comprising:
an animation module configured to generate an animation from the optical stack volumes such that individual frames include one of the optical stack volumes, wherein the sequential analysis of the slices includes the generating of the animation; and
wherein the feature identification module is configured to identify geologic features from the generated animation, wherein the sequential analysis of the slices includes the identifying of the geologic features from the generated animation.
16. The system of claim 10, wherein the one or more attributes include one or more of velocity, coherence, Hilbert transform, amplitude, instantaneous frequency, spectral decomposition, anisotropy, attenuation, impedance, density, Poisson’s ratio, acoustic properties, elastic properties, petrophysical properties, rock properties, fluid properties, reservoir properties, seismic response, geologic description, lithologic classification, dip, magnitude, curvature, roughness, dip azimuth, or spectral shape.
17. The system of claim 10, wherein the geologic features include one or more of a fluvial channel, delta, deltaic fan, submarine fan, reef, sandbar, point bar, fault, unconformity, dike, sill, salt body, crevasse splay, reservoir flow unit, fluid contact, turbidite channel, or turbidite sheet.
18. The system of claim 10, wherein individual ones of the plurality of offset stacks andor the plurality of angle stacks include processed data, migrated data, unmigrated data, imaged data, andor raw data.
19. A computer-readable storage medium having instructions embodied thereon, the instructions being executable by a processor to perform a method for analyzing attributes to identify geologic features within a geologic volume of interest, the method comprising:
obtaining an attribute volume representing an attribute of the geologic volume of interest, the attribute volume having been formed from a plurality of offset stacks andor angle stacks that represent energy that has propagated through the geologic volume of interest from one or more energy sources to one or more energy receivers, an individual energy source being physically separated from an individual energy receiver by a corresponding source-receiver offset, each individual offset stack being formed from a corresponding set of seismic traces having substantially equivalent source-receiver offsets, each individual angle stack being formed from corresponding sets of seismic traces having substantially equivalent source-receiver angles;
flattening the attribute volume according to time, depth, slope, vertical, dip, dip azimuth, horizon, or relative to an interpreted horizon;
generating a sequence of slices from the flattened attribute volume; and
identifying separate geologic features represented in the slices based on a sequential analysis of the slices.
20. The computer-readable storage medium of claim 19, wherein identifying separate geologic features represented in the slices comprises identifying features having different rates of movement between slices in the sequence of slices.
21. The computer-readable storage medium of claim 19, wherein the sequential analysis of the slices comprises generating an animation from the slices, and identifying geologic features from the generated animation.
22. The computer-readable storage medium of claim 19, wherein the sequential analysis of the slices comprises generating optical stack volumes corresponding to individual ones of the slices.
23. The computer-readable storage medium of claim 22, wherein generating the optical stack volumes comprises adjusting the opacity of one or more of the slices and combining the one or more of the slices into a single image.
24. The computer-readable storage medium of claim 23, wherein the sequential analysis of the slices further comprises:
generating an animation from the optical stack volumes such that individual frames include one of the optical stack volumes; and
identifying geologic features from the generated animation.
25. The computer-readable storage medium of claim 19, wherein the one or more attributes include one or more of velocity, coherence, Hilbert transform, amplitude, instantaneous frequency, spectral decomposition, anisotropy, attenuation, impedance, density, Poisson’s ratio, acoustic properties, elastic properties, petrophysical properties, rock properties, fluid properties, reservoir properties, seismic response, geologic description, lithologic classification, dip, magnitude, curvature, roughness, dip azimuth, or spectral shape.
26. The computer-readable storage medium of claim 19, wherein the geologic features include one or more of a fluvial channel, delta, deltaic fan, submarine fan, reef, sandbar, point bar, fault, unconformity, dike, sill, salt body, crevasse splay, reservoir flow unit, fluid contact, turbidite channel, or turbidite sheet.
27. The computer-readable storage medium of claim 19, wherein individual ones of the plurality of offset stacks andor the plurality of angle stacks include processed data, migrated data, unmigrated data, imaged data, andor raw data.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
What is claimed is:
1. A laser tracking interferometric length measuring instrument comprising: a laser source; a tracking articulating optical lever provided on an optical path of an interferometric optical system, said articulating optical lever reflecting an incident laser beam from the laser source to a retroreflector that is a measurement object, said beam being reflected by the retroreflector to fall incident on the optical lever; a quadrant photodiode having a neutral point on which falls incident a reflected beam from said articulating optical lever; and attitude control means for controlling an attitude of said articulating optical lever to position a reflected laser beam from the optical lever on the neutral point of the photodiode.
2. A laser tracking interferometric length measuring instrument according to claim 1, wherein the articulating optical lever comprises: a hemisphere with a mirror surface; a ball stylus one end of which is connected to a spherical surface portion of the hemisphere via a connecting rod, and another end of which is fixed to a table that can be moved along X and Y axes; and a three-ball seat into which the spherical surface portion of the hemisphere is urged.
3. A laser tracking interferometric length measuring method comprising: directing a laser beam from a laser source to fall incident on a center of an articulating optical lever reflector provided on an optical path of an interferometric optical system; projecting the laser beam reflected from the optical lever onto a retroreflector that is a measurement object, and tracking the retroreflector with the reflector to have the reflected laser beam from the retroreflector received at the reflector center.
4. A laser tracking interferometric length measuring method according to claim 3, further comprising the laser beam reflected by the retroreflector being guided to a quadrant photodiode by the reflector, using an electrical output from the photodiode as input to a control apparatus and controlling an attitude of the reflector to position a neutral point of the photodiode output in X and Y directions at a point of maximum beam intensity.
5. A method of measuring coordinates comprising: using four laser tracking interferometric length measuring instruments to track a position of a retroreflector that is a measurement object a prescribed number of times to determine a mutual arrangement of the laser interferometric length measuring instruments and the position of the retroreflector.