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S Method and apparatus for estimating S-wave velocity by learning well log

机译:通过学习井日志来估计S波速度的方法和装置

摘要

According to an embodiment of the present invention, each value of a plurality of factors included in the well log according to the measurement depth is input data, and the well log is input based on the learning data in which the S wave velocity according to the measurement depth is correct answer data. A model forming step of forming an S-wave estimation model to output the S-wave velocity according to the depth measured on the bottom surface, and a plurality included in the well log according to the measurement depth obtained from a borehole for estimating the S-wave velocity in the S-wave estimation model To provide a method and apparatus for estimating the S-wave velocity by learning the well log, including an S-wave velocity estimation step of estimating the S-wave velocity according to the measurement depth by inputting target data that summarizes the values of each of the factors of can and Using an artificial intelligence model that has learned the well log, it is possible to accurately and quickly predict the S-wave velocity.
机译:根据本发明的实施例,根据测量深度的阱日志中包括的多个因子的每个值是输入数据,并且基于根据该学习数据输入井日志,其中S的波速度测量深度是正确的答案数据。形成S波估计模型的模型形成步骤,以根据底表面测量的深度输出S波速度,以及根据从钻孔获得的测量深度来井井头中包括的多个用于估计S的测量深度 - 驱动S波估计模型中的速度,提供一种通过学习井日志来估计S波速度的方法和装置,包括根据测量深度估计S波速度的S波速度估计步骤输入目标数据,其总结了可以和使用已经学习的井日志的人工智能模型的每个因素的值,可以准确且快速地预测S波速度。

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