Structural and geophysical constraint mapping for hydrocarbon resources within parts of the Bida Basin, Central Nigeria
No Thumbnail Available
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Arabian Journal of Geosciences
Abstract
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.
Description
Keywords
Bida Basin · Hydrocarbons · Multi-criteria · Fry analysis · Spatial prediction