Certain investigations on seismic image denoising and hydrocarbon reservoir interpretation

Abstract

Hydrocarbon exploration is a high risk and expensive procedure facing numerous challenges to address the growing demand for resources with the increase in population. The hydrocarbon explorers target in finding the areas with maximum hope for hydrocarbons. Sometimes, exploration procedure may result in drilling of dry holes and fault regions. Though, the exploration risk cannot be eliminated completely but can be reduced with technological innovations by the clear understanding on the structure of earth. Gas chimneys can be treated as valves that release hydrocarbon gases through faults or cracks. The locations of chimneys indirectly locate the reservoirs and thus reduce the risk of the exploration analysis. The primary challenge in the location of hydrocarbon reservoir and gas chimney is to determine the structural interpretation of the area in identifying the migration newlinepath and seismic horizon that contain the hydrocarbons. Hence, the proposed research work is aimed to develop an automated decision support system to improve the knowledge for the interpretation of gas chimneys and hydrocarbon reservoirs. This research work involves a novel denoising technique to denoise the raw seismic image / data, an effective feature selection method to select the optimum attributes describing the chimney and hydrocarbon reservoir areas and a suitable classifier technique to classify the hydrocarbon reservoirs and newlinenon-hydrocarbon reservoirs. Seismic reflection data are used by geologists to identify the best site for oil and gas explorations newline newline