Prediction method for glutenite oil reservoir

Abstract

The invention discloses a prediction method for a glutenite oil reservoir, and the method comprises the steps: S1, analyzing the broken line activity of a glutenite research region and the longitudinal distribution sequence characteristics of a reservoir stratum of the research region through rock core observation and logging information, and recognizing a reservoir stratum on a tested oil or coring well; S2, determining the relationship among the reservoir lithology, the physical property, the electrical property and the oiliness of the reservoir and the electrical property identification standard of the reservoir, and identifying the drilled effective reservoir according to the electrical property identification standard of the reservoir; S3, defining lithology sensitivity, reservoir sensitivity and reservoir physical property sensitivity elastic parameters of the drilled glutenite body; S4, according to the elastic parameters, reversely deducing the distribution of the rock physicalparameters at the unknown position of the underground space through the pre-stack seismic reflection characteristics; and S5, predicting the distribution of the pore permeability parameters in spaceaccording to the distribution of the rock physical parameters so as to predict the effective reservoir distribution range. The effectiveness of glutenite oil reservoir prediction is achieved, and thereliability of the method is verified.

Description

technical field [0001] The invention belongs to the technical field of exploration and development of oil and gas fields, and in particular relates to a prediction method for sandy conglomerate reservoirs. Background technique [0002] The main sedimentary types of glutenite reservoirs include alluvial fan, nearshore subaqueous fan, fan delta and near-source turbidite fan deposits, etc. Glutenite reservoirs are characterized by complex lithology, complex pore structure, large differences in physical properties, and severe heterogeneity. [0003] Due to the complex lithology of glutenite reservoirs, the impact of lithology on electrical properties is greater than that of oil-bearing properties on electrical properties, resulting in unclear boundaries between effective and ineffective reservoirs. [0004] Seismic prediction of effective glutenite reservoirs is very difficult. First, there are many discontinuous and chaotic seismic reflections inside glutenite fans, which also...

AI Technical Summary

Problems solved by technology

The embodiment of the present invention provides a prediction method for sandy conglomerate reservoirs. Aiming at the difficult problems of identification of effective reservoir logging curves of sandy conglomerate and prediction of seismic reservoirs, the research on the relationship of "four properties" is proposed for the first time. The reservoir prediction technology method including rock physics analysis, CRP gather processing, pre-stack compressional / shear wave velocity inversion and sandstone thickness / porosity prediction has solved the validity of the reservoir prediction of glutenite reservoirs and verified the limitations of the method. reliability

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