quality knowledge | quality service | quality control
The MultiStudio QC Suite is a group of tools which collect and analyse navigation, performance and seismic attributes. Along with the more commonly used 3D analysis tools, MultiStudio also has many routines and displays designed specifically for 4D surveys and techniques.
Due to the nature of 4D survey techniques a comprehensive understanding of local conditions and the data quality of the baseline survey is vital to the success of 4D acquisition. MultiStudio QC Suite provides the tools to perform these tasks.
Most 4D projects begin with a
full pre-survey analysis of a baseline survey which can be
performed by EPI. A MultiStudio attribute database is
constructed and examined to check attributes such as
feathers, offsets, separations, depths and crab. This
baseline database would normally be pre-installed on our
field systems for use during acquisition. This also allows
assessment of the 4D preplots, to verify they have not been
over-filtered and to check that any preplots which result
from merging of several baseline sequences are both valid
and achievable with the select survey equipment. The suite
also includes tools for creating a 'perfect preplot', this
allows comparison of different vintages of a 4D to a common
denominator.
Feather differences
The difference in feather between the monitor and
baseline surveys is displayed in either time-series, or as a
spatial plot. On the plot the feather from the monitor is
red, the green is streamer feather, Feth-D is the
difference, and Feath-purple is the baseline. Because the
baseline is entered to the QC database, the link between
monitor and base for the display is achieved automatically.
Source Position
Differences/Repeatability
The position difference for the source is also entered
to the database as an attribute and can be displayed as
either a time-series or spatial plot. On this plot only one
array of a dual source has been selected for display, and
the chart shows the difference in cross and along line
between acquired and baseline.
Track Plots and Closest
Point of Approach (CPA)
MultiPLOT also has tools to examine (at shot level) the
positions for any of a number of nodes. This allows
investigation of preplots against offshore installations (to
determine CPAs for example), 4D preplots against the
baseline P1/90 (to investigate how much smoothing had taken
place in producing the preplot), acquired position verses
preplot or baseline for 4D.
The example track plot shows the track of a preplot (dark gray) verses a baseline (pale blue). The baseline had been acquired prior to the existence of the platform which the preplot had to steer around.
Streamer Receiver Position
Differences/Repeatability
With other systems it can be more difficult to present
receiver repeatability without producing too many plots to
allow easy assimilation of the information. With MultiStudio
we take three offsets on each streamer of the baseline
survey (or perfect preplot if no baseline is available),
these will be at the Front / Mid and Tail and for each shot
of the survey these positions are entered into the database.
Using this database, MultiStudio takes the acquired receiver positions and searches for the nearest receiver at each of the offsets, no matter which streamer it belongs to. We also take the streamer number which was the nearest and create this as an attribute. In conditions where feather match between monitor and base is poor it is possible for the same monitor streamer to be the nearest to all baseline streamers. These differences can be displayed as time-series as with many of the attributes stored within the MultiStudio database.
Azimuth Plots
For 4D surveys where the azimuth from source receiver is
of interest, we can compute the azimuths for a baseline, a
perfect preplot and a monitor, then display them as a
ShotPLOT. The data can be merged across all streamers on a
sequence so that there is just one plot per sequence
(instead of one per sequence per streamer), and these can be
displayed on a single web-page in geographical order to
allow assessing azimuth repeatability across an entire
survey on a single page.
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