Sand body connectivity evaluation method and device

Abstract

The embodiment of the invention provides a method and device for evaluating the sand body connectivity. The method comprises the steps of respectively establishing transverse connectivity sand body samples, longitudinal connectivity sand body samples and internal connectivity sand body samples in a work area, and classifying each type of sand body samples into training samples and test samples; training the training samples of each type of sand body samples by using a preset machine learning algorithm, and building corresponding sand body connectivity prediction models; optimizing the corresponding sand body connectivity prediction models according to the test samples of each type of sand body samples so as to enable prediction results of the corresponding sand body connectivity prediction models to meet preset conditions; and evaluating the sand body connectivity on corresponding sand body data of a sand body to be identified in the work area according to the optimized sand body connectivity prediction models so as to obtain an evaluation result. The accuracy and efficiency of sand body connectivity evaluation can be improved according to the embodiment of the invention.

Description

technical field [0001] The present application relates to the technical field of sand body connectivity evaluation in reservoir description, in particular to a sand body connectivity evaluation method and device. Background technique [0002] Reservoir sand body connectivity generally refers to the way and degree of mutual contact and connection of genetic unit sand bodies in vertical and lateral directions, and is an important factor affecting the development of oil and gas fields. In the process of oil and gas field development, the deployment of injection-production well patterns, the selection of development methods, and the potential tapping of remaining oil in the later period all need to be established on the basis of a certain connectivity analysis of reservoir sand bodies. However, due to the generally complex distribution and strong heterogeneity of underground reservoir sand bodies, especially fluvial facies sand bodies, the frequent changes of channels lead to th...

AI Technical Summary

Problems solved by technology

However, there are many factors that affect the connectivity of channel sand bodies. When multiple influencing factors are considered at the same time, it is difficult to evaluate sand body connectivity efficiently and accurately.

Images