Well logging interpretation method and device for predicting sandstone hydrocarbon reservoir

Abstract

The invention provides a well logging interpretation method and device for predicting a sandstone hydrocarbon reservoir. The method comprises the steps: acquiring rock matrix physical property parameters and logging curve data; calculating longitudinal wave velocity, transverse wave velocity and density based on the rock matrix physical property parameters; constructing a sandstone hydrocarbon-bearing reservoir prediction factor, wherein the expression of the prediction factor comprises longitudinal wave velocity, transverse wave velocity and density; calculating and analyzing sandstone hydrocarbon-bearing reservoir prediction factor distribution characteristics based on the longitudinal wave velocity, the transverse wave velocity and the density, and determining a sandstone hydrocarbon-bearing reservoir prediction threshold; calculating a sandstone hydrocarbon-bearing reservoir prediction factor curve by utilizing the logging curve data, and predicting the hydrocarbon-bearing reservoir according to the sandstone hydrocarbon-bearing reservoir prediction threshold. The device comprises a data acquisition unit, a speed 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. The method overcomes the singleness and multiplicity of predicting the fluid only by resistivity information.

Description

technical field [0001] The invention belongs to the field of petroleum geophysical exploration, and relates to a logging interpretation method and device for predicting sandstone hydrocarbon-bearing reservoirs. Background technique [0002] In oil and gas exploration and development, the well logging curves obtained by using well logging instruments directly reflect the physical properties of formation rocks around wells. With the continuous improvement of logging technology, conventional logging can obtain various characteristic curves that characterize petrophysical properties, electrical properties, and fluid-bearing properties, including longitudinal wave acoustic curves, shear wave acoustic curves, density curves, GR curves, and deep and shallow resistivity curves. curves and neutron porosity curves, etc. With the continuous deepening of the integration of disciplines, the integration of seismic, well logging and geology has become more closely, so that the characteris...

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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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