Abstract: The mechanical behavior of structures that are in contact with soil is affected by the interaction between the soil and the structure. This interaction is called Soil-Structure Interaction, abbreviated SSI. Some structures where SSI is especially important are buildings, bridges and oil rigs. In this thesis a laterally loaded component of an offshore oil rig has been studied, and in particular how to model the soil to best capture the interaction with the soil. The component is located in the sea bed, meaning that the interacting soil is completely submerged. A simple and conventional approach is to model the soil using lateral non-linear springs, where the behavior of the springs is dependent on soil type, soil properties, loading and depth below sea bed. It is a widely accepted method in geotechnical engineering, but the one-dimensional springs suffer from certain limitations and an alternative modeling strategy is needed to truly capture the complex three-dimensional behavior of soils, such as modeling the soil as a continuum with solid elements. In this thesis a literature study was carried out to understand the mechanical behavior of soils, and especially the method used to determine the behavior of the non-linear springs. Then, a finite element model of the specific component and the surrounding soil was created in Abaqus/CAE, for three different soil compositions. The soil was modeled both with non-linear springs and as a continuum, and the results from the two modeling strategies were compared, along with identification of limitations and benefits for the two approaches. For the static load case studied it can be concluded that the results are similar, but there are also some notable differences mainly dependent on soil composition and material properties. Continuum soil modeling is more complex and computationally expensive than non-linear springs modeling, but is advantageous in prediction of long-term effects. Future work should focus on determination of a soil’s properties, as these highly influence the results for both modeling strategies. With an accurate characterization of a soil’s behavior, the response of the structure will be predicted as correctly as possible.