Research and application of amplitude attenuation gradient hydrocarbon detection method without the influence of thickness

Abstract

Kenli structure is located in the southern part of the Bohai Sea. It is dominated by meandering river deposits and has many lithological channel sand bodies. Oil and gas detection is of great significance in the exploration of this type of oil and gas reservoir. The current mainstream hydrocarbon detection method is based on the attenuation of the seismic response amplitude. The influence factors of the seismic response amplitude are not only fluid, but also reservoir structure and thickness. How to eliminate the influence of reservoir structure and thickness and highlight the influence of fluid factors on amplitude is the key to the success of hydrocarbon inspection. In this paper, broadband ricker wavelet deconvolution technology is used to improve the quality of seismic data. Based on the improved seismic data, starting from seismic data and forward modeling, the quantitative relationship between reservoir fluid, structure, thickness and reflection amplitude is established. Simplify the reservoir structure, fit the quantitative relationship between reservoir thickness and reflection amplitude, calculate the influence factor of reservoir thickness on reflection amplitude, use AI inversion technology to eliminate the influence of reservoir structure and thickness on reflection amplitude, and on this basis, the amplitude attenuation gradient hydrocarbon detection method has achieved good results in the hydrocarbon detection prediction of the Kenli structure. Note: This paper was accepted into the Technical Program but was not presented at IMAGE 2022 in Houston, Texas.