Internal multiple reflections can be interpreted as the main coherent noise in seismic data. Many strategies to remove and mitigate them have been developed, such as the Marchenko multiple elimination (MME) scheme, which eliminates the referred reflections type without model information or adaptive subtraction. The MME scheme was originally developed based on the Neumann series solution of Marchenko’s projected equations. However, the Neumann approximate solution does not always have guaranteed convergence. In this work we formulate the MME as a least-squares problem (MMELSQ) such that it provides a stable solution in cases where the Neumann series approach diverges. The MMELSQ performance is demonstrated on a stratified synclinal model and results are compared with the conventional MME scheme. Additionally, the impact of eliminating internal multiples on the generation of an in-depth seismic image is also studied, by applying the reverse time migration (RTM) algorithm on the original dataset and those obtained through both schemes, the MME and MMELSQ. The RTM results show that the application of the MME on seismic data allows to construct seismic images without artifacts related to internal multiple events.
Presentation Date: Monday, October 12, 2020
Session Start Time: 1:50 PM
Presentation Time: 2:40 PM
Location: Poster Station 13
Presentation Type: Poster
