Water flooded layer identification and water production rate prediction method based on apparent water layer resistivity

Abstract

A water flooded layer identification and water production rate prediction method based on apparent water layer resistivity comprises the following steps: establishing an apparent water layer resistivity model by screening a logging curve, an oil gas test and production data; calculating a formation water resistivity curve of a target well through a conventional logging curve according to the apparent water resistivity model in the step 1; qualitative identification of the flooded layer: overlapping the apparent water layer resistivity curve and a deep detection resistivity curve of the targetwell on logarithmic scale channels of a logging curve graph, and analyzing the amplitude difference of the two curves, to realize the qualitative identification of the flooded layer; and constructinga water production rate model, and calculating a water production rate curve according to a qualitative identification result of the water flooded layer, to realize water production rate prediction. The apparent water layer resistivity curve and the deep detection resistivity curve are overlapped, and the amplitude difference of the two curves is analyzed, to realize the qualitative identificationof the water flooded layer; and the water production rate curve is obtained through calculation, and quantitative evaluation of the water flooded layer is achieved.

Description

technical field [0001] The invention belongs to the technical field of oil reservoir development, in particular to a water-flooded layer identification and water production rate prediction method based on the resistivity of the apparent water layer. Background technique [0002] Water-flooded layer identification and water production rate prediction methods are often applied to some oilfields whose production has entered a high water-cut stage. The main basis is to qualitatively interpret the reservoir by observing the response characteristics of well logging curves measured by conventional logging series. For different oilfields, their geological profiles are different, and the development schemes adopted are also different, which makes the log curve response of each oilfield very complicated and has no uniform law. Therefore, it is currently difficult to find a general method to identify the water-flooded layer and predict the water production rate. [0003] Currently, co...

AI Technical Summary

Problems solved by technology

However, these methods often have many limitations in practical application.

For example, for the spontaneous potential baseline offset method, when a large section of the oil layer is flooded, it is difficult to determine the original spontaneous potential baseline, and its use effect is poor

At present, the commonly used water production rate prediction methods mainly rely on the accurate calculation of water saturation, irreducible water saturation and the acquisition of relative permeability curves. However, in some oil fields, these data are not easy to calculate or obtain accurately

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