Structural and geophysical constraint mapping for hydrocarbon resources within parts of the Bida Basin, Central Nigeria

• Published in: Arabian journal of geosciences 2022-12, Vol.15 (24), Article 1760
• Main Authors: Habu, Serah Japhet, Adekeye, Olabisi Adeleye, Tende, Andongma Wanduku
• Format: Article
• Language: English
• Subjects: Accuracy; Analysis; Basins; Correlation analysis; Discretization; Distance; Earth and Environmental Science; Earth science; Earth Sciences; Evaluation; Expeditions; Exploration; Fractal analysis; Fractals; Fry; Geographic information systems; Geographical information systems; Geological mapping; Geological structures; Geological surveys; Gravity; Hydrocarbons; Information systems; Mapping; Multiple criterion; Multiship expeditions; Original Paper; Prediction models; Reliability analysis; Remote sensing; Sedimentary basins; Spatial analysis; Spatial data; Surveys; Tectonics
• ISSN: 1866-7511; 1866-7538
• DOI: 10.1007/s12517-022-11040-2

Remote sensing (RS) and geographic information systems (GIS) play an important role in the exploration of geological resources and are most effective when used during reconnaissance scale surveys. In Nigerian frontier basins, the use of GIS-based spatial predictive mapping and regional scale evaluation of geological structures is regarded as the best tools for downscaling exploration targets. The Fry analysis and distance correlation analysis were used to infer structural control over hydrocarbon resources, whereas the prediction area plot analysis assessed the spatial relationship between the evidential and target data. A hydrocarbon prospectivity map for the Bida Basin was generated using a multi-criteria weighted sum model, and the hydrocarbon predictive model was discretized and classified using a multi-fractal analytical approach. ROC/AUC analysis was used to evaluate and assess the reliability of the hydrocarbon predictive model. According to evidence from Fry and distance correlation analysis, hydrocarbon manifestations is primarily controlled by the WNW-ESE tectonic trend. Based on the prediction area plot analysis, there is a significant correlation between hydrocarbon occurrences and spatial data on magnetic (0.67), gravity (0.68), and distances to the WNW-ESE lineaments (0.81). The weighted sum model was used to integrate spatial data, which revealed significant potential for hydrocarbon resources in the study location’s south-central and north-eastern regions. The hydrocarbon predictive model was discretized into four classes (very low, low, high and very high) using multi-fractal analysis, with percentile extents of 25.88%, 42.43%, 21.46%, and 10.23%, respectively. The ROC/AUC revealed an accuracy level of more than 80%. The reliable identification of exploration targets, demonstrated by a high level of accuracy, suggests that this approach could be ideal for supplementing exploration expeditions in the Bida basins and other sedimentary basins throughout Nigeria.