Determination of hydrocarbon potentials in Masu area northeastern Nigeria using forward and inverse modeling of aeromagnetic and aerogravity data

Akiishi, M.; Udochukwu, B. C.; Tyovenda, A. A.

doi:10.1007/s42452-019-0898-1

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…For example, ref. [97] revealed through aeromagnetic and aerogravity datasets that sediment thickness was necessary to map the basement depth in the Masu area of Nigeria for geothermal explorations. In this study, sediment bed thickness formed an evident layer and was used to map possible geothermal regions in Nigeria and the data were extracted from areas mapped with aerogravity map datasets in the literature.…”

Section: Fundingmentioning

confidence: 99%

Development of an Improved Decision Support Tool for Geothermal Site Selection in Nigeria Based on Comprehensive Criteria

Nwaiwu,

Leach,

Liu

2023

Energies

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Geothermal resource assessment is crucial for the rural electrification of Nigeria. A comprehensive set of criteria was used to appraise promising geothermal sites in Nigeria. The evaluation of the sites was performed using the multi-criteria decision analysis (MCDA) method and taking into account evidence of a wide range of criteria from a set of geological, geophysical, well log, environmental, remote sensing, and geochemical datasets to appraise promising geothermal sites and to add to the current debate on the needed criteria for geothermal development. To gather relevant data, various sources such as bottom-hole temperature (BHT) data from different boreholes and oil and gas wells, aeromagnetic maps, reduced-to-the-pole, magnetic, heat flow, seismic, and geothermal gradient data from aerogravity maps, Bouguer anomaly maps, earthquake epicenter maps, satellite images, and geological maps were obtained from the literature. A case study of the thirty-six states of Nigeria, including the federal capital territory, Abuja (FCT), was conducted to illustrate how these criteria would reveal the technical aspect of the geothermal energy situation. A model was developed to show that the application of a wide range of criteria to the six datasets identified and analyzed in this study reveals that the datasets complement each other and should not be used independently. It can be found from the overall suitability map that more than 20% of the study area is suitable for geothermal energy development. It can also be observed from the map that some of the promising sites in Nigeria may include but are not limited to Bauchi, FCT, Taraba, Ebonyi, Adamawa, Oyo, and Nasarawa states in Nigeria. The opportunities for the further application of the approach are discussed, including the use of the model to help policymakers decide where to invest in the future.

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Section: Fundingmentioning

confidence: 99%