The workflow for creating accurate 3D depth images varies widely in cost and effort, depending largely on data complexity. Much of the effort associated with depth imaging is associated with the construction of an accurate macro velocity model. Depth imaging is an integral component of velocity model building, providing both velocity and depth horizon information. Both the cost and effort of performing 3D depth imaging and, hence, velocity model building increases as data complexity rises from simple to moderate and on to complex geology. In this paper, we will describe an accurate and efficient interpretive workflow for 3D velocity model building for data with simple-to-moderate levels of geologie complexity.


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