Method for optimizing migration fields using time slice analysis
View Patent ↗A method for imaging multi-directional fractures in a homogeneous basement utilizing time slices or depth slices to select velocity fields that yield the optimal lithological image of said fracture patterns, especially in 3-D seismic cubes. More specifically, the method involves definition of small data subvolumes within a larger 3-D data volume. The data subvolumes are selected to image a specific target. The subvolumes are imaged multiple times, using prestack time migration with different velocity models. Each of the migrated subvolumes is timesliced at selected time intervals. All timeslices corresponding to a given time are then gathered together from the different migrated subvolumes. Each of the constant time timeslice datasets are run through velocity analysis. In one preferred embodiment, the seismic data itself is used to determine velocity. In another preferred embodiment, velocity is determined through semblance techniques.
1. A method for imaging subsurface structure and stratigraphy in 3D seismic volumes, the method comprising:
utilizing horizontal slices of a 3D seismic volume to determine the signal velocity that produces optimal imaging of the subsurface structure and stratigraphy.
2. A method for imaging fracture patterns in lithological units, the method comprising:
obtaining seismic data for a three dimensional lithological volume;
defining at least two subvolumes within said volume;
migrating the data associated with each subvolume;
dividing each migrated subvolume into a plurality of horizontal slices, each of the plurality of horizontal slices associated with a particular index group and having a portion of said seismic data associated therewith;
gathering the seismic data from each of the plurality of horizontal slices of all subvolumes associated with the particular index group into a dataset; and
performing velocity analysis on each dataset created in the preceding step.
3. The method of claim 2 , wherein the index groups are selected based on intervals of time.
4. The method of claim 2 , wherein the index groups are selected based on intervals of depth.
5. The method of claim 2 , further including the step of performing semblance calculations on the velocity dataset.
6. The method of claim 2 , wherein the data is processed using a signal to noise enhancement program before velocity analysis.
7. The method of claim 1 , wherein the step of horizontal slicing is based on depth.
8. The method of claim 1 , wherein the step of horizontal slicing is based on time.
9. The method of claim 1 , further including the steps of migrating the data associated with the 3D seismic volume prior to horizontal slicing.
10. The method of claim 2 , wherein the step of migrating the data associated with each subvolume includes migrating the data multiple times to identify a desired velocity field.
11. The method of claim 2 , further including the steps of:
determining from the performance of velocity analysis a plurality of velocity datasets;
reconstructing subvolumes after velocity analysis by extracting data from each of the plurality of velocity datasets and reassembling each subvolume to form a migrated subvolume; and
combining all of the migrated subvolumes to recreate the overall three-dimensional volume to substantially enhance the image of the original three-dimensional lithological volume.
12. The method of claim 2 , wherein a final velocity field derived from the velocity analysis of the gathered dataset is utilized to create a migrated volume by reassembling the three-dimensional dataset by choosing the migrated data to use in the reassembly based on selected velocities.
13. The method of claim 2 , further includes:
selecting a velocity function that produces a desired image determined during the velocity analysis from each migrated subvolume; and
utilizing the velocity function to reconstruct the overall three-dimensional volume.
14. The method of claim 13 , further including the step of remigrating the data using the selected velocity function.
15. A method of analyzing seismic data; the method comprising:
migrating at least two defined subvolumes within an original three-dimensional lithological volume represented by seismic data;
dividing each migrated subvolume into a plurality of horizontal slices, each of the plurality of horizontal slices associated with a particular index group and having a portion of the seismic data associated therewith; and
performing velocity analysis on each of a plurality of datasets to thereby determine an optimal velocity for each dataset, each of the plurality of datasets having at least one of the plurality of horizontal slices with a portion of the seismic data associated therewith.
16. The method of claim 15 , wherein the step of migrating the data associated with each subvolume includes migrating the data multiple times to identify a desired velocity field.