The analysis of potential field data is an important tool for studying basement structure in hydrocarbon exploration settings. Numerous techniques have been developed to aid the interpretation of such data. Traditionally the effectiveness of each method has been demonstrated on highly idealized model data and/or real data where the correct interpretation is uncertain. In this paper we propose a new approach for evaluating the effectiveness of ''depth to magnetic basement'' estimators. We present inversion results for a model magnetic dataset generated from a modified topography dataset. This strikes a balance between geological realism and ground-truthing.

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