Study On Seismic Inversion Of Carbonaceous Reservoir In South Pridorozhnaya South Kazakhstan And Its Application

Carbonate rocks account for more than 50% of the reservoir types found so far,which have become the focus of attention and research for geophysicists.Carbonate rocks are affected by various factors,with diverse lithologies and lateral changes.The characteristics of large reservoirs,uneven distribution,and complex types of reservoir space have exacerbated the difficulty in identifying and predicting carbonate reservoirs.Seismic inversion results have important indications for oil and gas prediction.Firstly,post-stack inverse inversion and post-stack geostatistical inversion were studied respectively.The advantage of seismic facies-controlled nonlinear inversion is that the seismic interface parameters involved in the inversion constraint give a definite geological significance,utilizing the correlation characteristics of adjacent seismic trace waveforms and the random changes of geological bodies,while geostatistics uses a stochastic simulation algorithm.Combined with inversion,the two inversion results have obvious advantages in embodying geological features and resolution.Based on this,the higher accuracy Zoeppritz approximation formula is deduced,and prestack seismic fluid identification in the study area is completed through the study of the prestack polynomial inversion method.The theoretical method of seismic gas detection based on time-frequency analysis was studied.The conventional hydrocarbon detection method and conventional matching pursuit method principle were compared.An improved hybrid optimized matching pursuit algorithm for high-precision hydrocarbon detection was proposed.To solve the problem of solving time-frequency atomic parameters in the process of conventional matching pursuit,to improve the accuracy and efficiency of time-frequency decomposition of seismic signals.This paper also improves and optimizes the conventional ant tracking crack detection algorithm,,the variance body calculated from the seismic data is selected as the data body tracked by the ant,and chooses the linear weighting of the coherent value and the edge detection value as the heuristic factor.The optimized ant tracking crack detection technology can identify cracks with higher accuracy and accurately obtain the small-scale fracture information existing underground.Finally,using the method described above,the actual data was applied to the Carboniferous in the South-pridorozhnaya(PRDS).The ant body crack detection performed a planar prediction of the block fracture,and the post-stack inversion prediction of the reservoir thickness was combined with post-stack hydrocarbon detection and prestack fluid identification.Technology to predict the distribution of gas zones in blocks.