Reservoir porosity prediction method and device

Abstract

The invention provides a reservoir porosity prediction method and device. The method comprises the steps of obtaining the reservoir porosity and reservoir thickness of a plurality of single wells at a target interval, and the seismic inversion longitudinal wave impedance data of the target interval, determining longitudinal wave impedance values of the multiple single wells in the target interval, determining the reservoir porosity thickness product of each single well in the target interval, fitting to obtain a first relation between the reservoir porosity thickness product of the target interval and the longitudinal wave impedance of the target interval, determining a second relationship among the reservoir porosity of the target interval, the reservoir thickness of the target interval and the longitudinal wave impedance of the target interval, determining reservoir thickness distribution plane data of the target interval, and determining reservoir porosity distribution plane data of the target interval. According to the method, prediction of reservoir porosity distribution plane data is achieved, the advantages of seismic data transverse prediction are effectively utilized from logging data, the process is simple, the calculation process has a scientific basis, the calculation speed is high, and the calculation result is objective and real.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration, in particular to a reservoir porosity prediction method and device. Background technique [0002] Porosity is an important parameter to characterize the physical properties of reservoirs, and is crucial to the exploration and development of oil and gas fields. Single well porosity interpretation can usually be calculated by constructing the relationship between the core and logging curves or using empirical formulas, usually with high accuracy. However, there is no relatively mature method to directly predict the plane porosity of reservoirs, and it is difficult to describe the plane porosity of reservoirs. In the prior art, planar kriging interpolation of single well porosity is usually used, or geostatistical co-simulation based on porosity curves is used to predict the planar distribution of porosity, but the porosity prediction between these two methods is difficult. Lack of...

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Problems solved by technology

However, there is no relatively mature method to directly predict reservoir porosity plane, and it is difficult to describe reservoir plane porosity

In the prior art, planar kriging interpolation of single well porosity is usually used, or geostatistical co-simulation based on porosity curves is used to predict the planar distribution of porosity, but the porosity prediction between these two methods is difficult. Lack of basis, low accuracy, and even wrong results, so the plane data prediction of porosity has always been a difficult problem in the field of geophysical exploration technology

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