--> Challenges of 3-D Interpretation and Seismic Reservoir Characterization in the Depth Domain
[First Hit]

Datapages, Inc.Print this page

Challenges of 3-D Interpretation and Previous HitSeismicNext Hit Reservoir Characterization in the Depth Domain

 

Le Stunff, Yves, Total, Pau, France

 

Previous HitSeismicNext Hit interpreters are often reluctant to work directly in the depth domain, although benefits are numerous. These include a direct link with geo-models for the transfer of hori­zons, faults or attributes and improved communication with geologists, reservoir engineers and drillers.

The main concern is the difficulty to solve simultaneously the problem of time-to-depth conversion and the problem of imaging, i.e. the difficulty to find a 3D velocity model that sat­isfies simultaneously well data and Previous HitseismicNext Hit velocities. 3D Previous HitSeismicNext Hit Tomography algorithms are now able to mix well and Previous HitseismicNext Hit velocity information (usually through the introduction of anisotropy). However further local refinements of the model are usually done since depth interpreters require a highly accurate velocity model. Thus one of the challenges is to be able to refine and update quickly 3D velocity models and 3D Previous HitseismicNext Hit depth cubes without going into costly additional depth migration steps.

Previous HitSeismicNext Hit reservoir characterization in the depth domain is also in its infancy. Only Preserved Amplitude Pre-Stack Depth Migration algorithms are able to produce, in theory, Previous HitseismicNext Hit information that can be directly used for reservoir characterization. This technique remains however costly and other solutions such as migration of Previous HitseismicNext Hit attributes (from time migrated data) can be a good alternative. Examples of Previous HitseismicNext Hit characterization on Preserved Amplitude Depth Migration and of migration of Previous HitseismicTop attributes will be present­ed. The development of these techniques will have of course a large impact on future 4D studies where working in depth is a key element for success.