Hydrocarbon Prospect of Nigeria’s Gongola Basin Based on Gravity Data Interpretation

Bassey, Nsikan Edet; Barka, Jonathan; Musa, Hayatudeen

doi:10.9790/0990-0502016877

Cited by 4 publications

(2 citation statements)

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“…Structural lineaments distribution, distribution density, and interconnectivity play a significant role in providing a passage through which hot molten rock material (magma) found within the deeper parts of the crusts are transported to the Earth's surface [31]. Therefore, this process enables heat transmission from the magma chamber to the earth's surface via the convection process [44].…”

Section: Structural Lineaments Mappingmentioning

confidence: 99%

“…The study revealed the presence of NE-SW and NW-SE structural trends. Bassey et al [31] conducted an interpretation of gravity data over the same Gongola basin with the aim of understanding the hydrocarbon prospectivity of the area. the study established the structural configurations as well as revealed the areas of greater sediments thickness that could serves as an area of better prospectivity.…”

Section: Introductionmentioning

confidence: 99%

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A Preliminary Geothermal Prospectivity Mapping Based on Integrated GIS, Remote-Sensing, and Geophysical Techniques around Northeastern Nigeria

2021

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Spatial mapping of potential geothermal areas is an effective tool for a preliminary investigation and the development of a clean and renewable energy source around the globe. Specific locations within the Earth’s crust display some manifestations of sub-surface geothermal occurrences, such as hot springs, a volcanic plug, mud volcanoes, and hydrothermal alterations, that need to be investigated further. The present area of investigations also reveals some of these manifestations. However, no attempt was made to examine the prospectivity of this terrain using the efficient GIS-based multicriteria evaluation (MCE) within the scope of the Analytic hierarchy process (AHP). The integration of remote sensing, Geographic information system (GIS), and other geophysical methods (Magnetic and gravity) was performed to map the promising geothermal areas. Multiple input data sets such as aero-magnetic, aero-gravity, aero-radiometric, digital elevation model (DEM), geological map, and Landsat-8 Operational Land Imager (OLI) data were selected, processed, and use to generate five thematic layers, which include heat flow, temperature gradients, integrated lineaments, residual gravity, and lithology maps. The five thematic layers were standardized and synthesized into a geothermal prospectivity map. The respective ranks and weight of the thematic layers and their classes were assigned based on expert opinion and knowledge of the local geology. This research aims to apply an efficient method to evaluate the factors influencing the geothermal energy prospects, identify and map prospective geothermal regions, and, finally, create a geothermal prospectivity model.

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Section: Structural Lineaments Mappingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%