A Logging Interpretation Method and Device for Predicting Sandstone Hydrocarbon-bearing Reservoirs

Abstract

The invention provides a logging interpretation method and device for predicting sandstone hydrocarbon-bearing reservoirs. The method includes: obtaining rock matrix physical parameters and logging curve data; calculating compressional wave velocity, shear wave velocity, and density based on rock matrix physical property parameters; constructing a sandstone hydrocarbon-bearing reservoir prediction factor, the expression of which includes compressional wave velocity, shear wave velocity, and velocity and density; calculate and analyze the distribution characteristics of sandstone hydrocarbon-bearing reservoir predictors based on P-wave velocity, shear-wave velocity and density, and determine the prediction threshold of sandstone hydrocarbon-bearing reservoirs; Sandstone hydrocarbon-bearing reservoir prediction threshold for hydrocarbon-bearing reservoir prediction. The device includes: a data acquisition unit, a velocity density calculation unit, a sandstone hydrocarbon-bearing reservoir prediction factor construction unit, a hydrocarbon-bearing reservoir prediction threshold analysis unit, and a sandstone hydrocarbon-bearing reservoir prediction unit. This method overcomes the singularity and multi-solution of predicting fluid only with resistivity information.

Description

A logging interpretation method and device for predicting sandstone hydrocarbon-bearing reservoirs technical field The invention belongs to the petroleum geophysical prospecting field, relate to a kind of logging interpretation method of predicting sandstone hydrocarbon-bearing reservoir with device. Background technique In oil and gas exploration and development, the logging curve obtained by using logging instrument directly reflects the formation rock around the well. Physical properties of stone. With the continuous progress of logging technology, conventional logging has been able to obtain various physical and electrical properties of rocks. And characteristic curves with fluidity, including longitudinal wave sonic curve, shear wave sonic curve, density curve, GR curve, depth Resistivity curve and neutron porosity curve, etc. With the deepening of the integration of disciplines, the integration of seismic, logging and geology has become more and more Intens...

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Problems solved by technology

Theoretical analysis of seismic rock physics believes that information such as P-wave velocity and density can effectively determine the fluid-bearing properties of reservoirs. In the seismic field, pre-stack seismic inversion technology is usually used to obtain P-wave impedance and density, and based on Construct the attribute factors that characterize the reservoir fluid, and finally identify the favorable hydrocarbon-bearing areas of the reservoir through the fluid attribute factors. In the field of well logging, the prediction method of hydrocarbon-bearing reservoirs based on velocity and density is relatively rare. The main reason is that the resistivity in logging The curve can characterize and identify reservoir fluids based on electrical information, and to a certain extent realize the prediction of hydrocarbon-bearing reservoirs around the well. Another reason is that the early conventional logging technology was limited by cost and technical requirements, and it was difficult S-wave logging information is seldom available. Due to the natural sensitivity of shear waves to reservoir fluids, it is difficult to predict reservoir fluids based on petrophysical properties such as velocity and density in the absence of shear waves.

With the development of petrophysical theory and the progress of logging acquisition technology, shear wave measurement and prediction have been solved to a large extent, making it possible to obtain accurate and reliable shear wave information, and at the same time promote the prediction of well circumference based on physical property information such as acoustic wave and density. Research on the method of hydrocarbon distribution. However, compared with the conventional logging interpretation method process based on resistivity curves, the current logging interpretation based on petrophysical properties is still in its infancy, and requires continuous research and innovation. method to realize the normalization of technology maturity and application

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