Process-Oriented 3-D Survey Design
There are many possible survey designs that can record the same depth point coverage. The designs may have the same depth point coverage but have very different attributes. Certain attributes are important to specific data processing and interpretation techniques. The survey design should strive to provide attributes appropriate to processing and interpretation. Most of these techniques such as DMO and AVO were developed on 2-D data which usually has the appropriate attributes. With 3-D survey designs, the variety of templates and the stronger demand for source and receiver station locations makes the choice of the proper template important.
The basic attributes of a 3-D survey are the depth point coverage, fold, offset range, and azimuths. These attributes may be considered in combination such as offset range, and azimuth. Analysis of the attributes is a basic part of the survey design. The design is not complete until the attribute requirements for the bins are satisfactory. Imaging of complex structure, for instance, requires specific attributes. Use of some data processing techniques such as AVO also has individual requirements for the survey design.
Figures & Tables
“Written for both the nongeophysicist and the practicing geophysicist, this book collects many of the formulas, principles, concepts, and field approximations of seismic survey design. The basics of 2D and 3D design in this book offer an introduction to the nongeophysicist and provide a good review for the practicing geophysicist. Arrays, obstacles, and special problems are discussed, as are aspects introduced by 3D surveys. The author explores design attributes such as fold, costs, and field time.”