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AUN Geophysicists Study New Reservoir characterization and hydrocarbon optimization methods

AUN Geophysicists Study New Reservoir characterization and hydrocarbon optimization methods

On September 28, two AUN geophysicists kicked off the School of Arts & Sciences’ seminar series for the fall semester.

Professors Chukwuemeka Abbey and Mohammed Dahiru Aminu presented a paper on ‘Integrated Technique on Static and Dynamic Properties Estimation: An Application of Probabilistic Neural Network and Seismic Inversion’.

The authors explained the method, justification and relevance of the study:

“The research evaluated hydrocarbon reservoir potentials using advanced scientific modelling approach. The process provides a close approximated quantity of hydrocarbons in the reservoir and gives its economic value. The authors developed a method using seismic inversion and probabilistic neural network (PNN). These methods were used to aid in drilling artificial oil wells within the study area.

“This answers the question of hydrocarbon productivity at every point in the reservoir or study area. In addition, the method developed could save the cost of drilling additional wildcat oil wells which could cost millions of dollars. It also provides insights on how the hydrocarbons in the reservoir can be moved out of the subsurface using different production strategies. The static and dynamic properties of the reservoir were considered in the study to determine the quantity of hydrocarbons in place and the amount that can be recovered from the subsurface.

“With the reservoir properties considered, the authors believe that if their method is scaled up for more practical applications, the economic value of oil fields can be evaluated by multiplying the recoverable quantity with the price of crude oil in the market”.

Reported by Aisha Dahiru


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