Parsimonious Refraction Interferometry (PRI)
Objective
In this lab we will learn how to
create densely populated refraction data set from only 2 opposites and few
infill shot gathers.
Download the paper from here and traveltime picks https://csim.kaust.edu.sa/files/ErSE210/lab_PRI/DataPick4.zip for the field data exercise below.
Introduction
For a 2D survey, we now show that
two opposite shot gathers and several short-offset infill shot gathers can be
decomposed into many virtual-shot gathers that have many more traveltime picks available for inversion. In some cases,
the virtual-shot gathers give as much refraction information as a full survey
with N shots, where a shot is located at each of the N geophone
locations. The result is a tomogram with a much denser ray coverage and better
slowness resolution compared to that from the original data. We call this
procedure parsimonious interferometry because it uses a stationary-phase
principle to decompose the opposite traveltimes into
many virtual traveltimes associated with shorter raypaths. Unlike the original pair of opposite shots, the
virtual-shot locations are at all of the interior geophone locations.
|
|
|
Figure 1:
Two-layer model where the black medium is faster than the top layer; the
reciprocal sources are at A and D and are associated with the
dashed red ray. The dashed blue raypath is
associated with the virtual refraction ray that is excited by the virtual
source (blue star) at C and terminates at B. The refraction traveltimes associated with the reciprocal shots (green
and red stars) can be decomposed into the virtual refraction traveltime generated by the blue star. |
|
|
|
Figure 2:
a) The actual trvaeltime picks, b) two reciprocal
and 5 infill shot gathers used as input to the proposed method, c) the
virtual traveltimes calculated from PRI, and d) the
difference between the actual and the virtual traveltime
picks. |
Procedure
Field data example
1.
Download
the field data example (Field Data). Download
the reference traveltime picks https://csim.kaust.edu.sa/files/ErSE210/lab_PRI/DataPick4.zip for the field data exercise below.
2.
Pick the first arrival traveltimes (reference traveltimes).
3.
Use
the two opposite CSGs (CSG # 1 and # 120) and 4 to 6 short-offset infills to
calculate the virtual traveltimes
4.
Calculate
and plot the errors between reference and virtual traveltimes
5.
Plot
the histogram of the differences between reference and virtual traveltimes.