Utilizando segmentação de perfis de poços e o algoritmo DTW para o ajuste automático de perfis LWD e cabo
Resumo
The well logging phase in oil drilling aims to obtain rock characteristics or properties from indirect measurements acquired by sensors.
Typically, these data are characterized by sequences of numerical values
representing one or more soil properties.
This phase can be executed through various approaches, with two of
the most widely recognized and employed being: Logging While Drilling
(LWD), which occurs during drilling, and Wireline Logging, which takes
place after the well has been drilled. Due to vibrations and other phenomena occurring during drilling, there may be inaccuracies in the depth of
LWD logs. To correct this, manual alignment of LWD logs is performed
using Wireline logs as a reference.
In this context, this work proposes a workflow that performs automatic alignment of LWD and Wireline logs using the Dynamic Time Warping (DTW) algorithm in a segmented manner. The proposed workflow
is divided into three parts: finding the common region between the two
series, segmenting the LWD and Wireline logs so that the segments are
similar, and performing segmented alignment using the DTW algorithm.
The results obtained during the experiments in this work demonstrated a significant improvement in the alignment performed by the DTW
algorithm when conducted in a segmented manner, resulting in an LWD
curve more faithful to the original.
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