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Collaborating Authors
Results
ABSTRACT Integrating uncertain interpretations and prior petrophysical information into a geophysical inversion is a sound approach to solving subsurface problems. We develop and demonstrate an inversion method that allows for uncertain salt body interpretations and prior density contrast information to be accounted for during the inversion of gravity gradiometry (GG) data. This method supplements a deterministic inversion of GG data with a salt likelihood interpretation, which may be available from a seismic interpretation, and prior petrophysical density-depth information in order to recover a density contrast model. The method leverages fuzzy c-means (FCM) clustering theory in order to incorporate prior petrophysical information. We obtain an improved density contrast model that more accurately reflects prior petrophysical information while also reflecting prior salt likelihood information. We conclude that the developed inversion method can successfully incorporate prior spatially varying and uncertain model parameter information into a deterministic inversion of geophysical data. Presentation Date: Wednesday, October 19, 2016 Start Time: 4:25:00 PM Location: 141 Presentation Type: ORAL
- Geophysics > Gravity Surveying (0.90)
- Geophysics > Seismic Surveying (0.89)
ABSTRACT The remanent magnetization may contain information about the formation process, mineralogy, and possibly geological history of different units. The magnitude of magnetization helps define the spatial configuration and structure of magnetic causative bodies, while the magnetization directions could distinguish between different causative bodies. Consequently, 3D magnetization inversion enables the complete utilization of information content in magnetic anomaly in the presence of remanent magnetization and, thereby, assist in geology differentiation. In this presentation, we apply a magnetization inversion algorithm based on fuzzy c-means clustering to investigate the utility of recovered magnetization directions in geology differentiation. We use both synthetic and field data sets to illustrate the algorithm, demonstrate the feasibility, and propose a means to quantify the confidence of differentiation results. Presentation Date: Tuesday, October 18, 2016 Start Time: 11:10:00 AM Location: 168 Presentation Type: ORAL
ABSTRACT Gravity and magnetic data are usually acquired over the same area of study in mineral exploration. However, they are often analyzed and inverted independently. Constraining potential field data inversion with petrophysical information has proven to be useful as it results in physical property models of improved quality and consistency, providing a sound basis for further geological interpretation. However, direct use of petrophysical data in the stage of inversion is uncommon. In this paper, we demonstrate the use of petrophysical data in the joint inversion of gravity and magnetic data for the study of a gabbro intrusion in Boden, Sweden. We constrain the jointly inverted density and susceptibility values by means of clustering so that they show correlations that were observed in the measured physical property values. Numerical results demonstrate that petrophysically constrained joint inversion can recover density and susceptibility models that show a better agreement with the petrophysical data, while honoring the observed potential field data. Presentation Date: Tuesday, October 18, 2016 Start Time: 1:25:00 PM Location: 168 Presentation Type: ORAL
- North America (0.28)
- Europe > Sweden (0.25)
- Geophysics > Magnetic Surveying (1.00)
- Geophysics > Gravity Surveying > Gravity Modeling > Gravity Inversion (0.86)