Conventional methods of velocity modelling for pre-stack imaging involve separate steps of velocity auto-picking and anisotropic parameter (Eta) estimation. This process is subject to interpreter bias and its effectiveness determined by observing incorrectly migrated gathers. Updating this model may require several iterations of tomography which fails to produce a good image as the initial velocity model is so far from the optimum solution. SIP’s ground breaking approach to velocity modelling significantly reduces turnaround timeThis common approach relies heavily on tomography to correct an imperfect velocity model.
In contrast, SIP’s unique technology simultaneously derives velocity and Eta fields whilst constraining these by controls based on correctly migrated gather and image quality. This iterative, data-driven approach minimises user input and hence error. The result is a superior velocity model and migrated image.
The result is a superior velocity model and migrated imageConsequently, the need for tomography is minimal and can be used conservatively for small adjustments and to add detail to the model.
SIP’s ground breaking approach to velocity modelling significantly reduces turnaround time and avoids human error. It is a fundamental step up from conventional auto-picking approaches.