WebJun 17, 2024 · Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch. ... This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well. ... WebAug 1, 2024 · The process of well-log correlation requires significant time and expertise from the interpreter, is often subjective and can be a bottleneck to many subsurface …
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WebShear wave velocity log prediction. Fuzzy Logic, Neural Networks and Genetic Algorithms for shear wave velocity log prediction. Here is the link for the notebook (It has not finished yet). Data normalization. Perform a normalization implies changing the order of … WebApr 1, 2024 · Given the interdependence of the well logs in the depth domain sample sequence, Shan et al. (2024) proposed a new intelligent construction method based on the bi-directional LSTM and CNN. Zhang et ... quebec teacher
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WebOct 1, 2024 · CNN is a well-known deep neural network proposed by LeCun (LeCun et al., 1989). One-dimensional (1-D) CNN is used in our study because convolution kernels scan only along depth direction of the logging curves (Cheng et al., 2024). Fig. 1 illustrates the architecture of a typical 1-D CNN. The CNN is composed of a convolutional layer, pooling ... WebFeb 1, 2024 · The CNN performs well and is competitive with cross correlation. CNN performs better for some log types—resistivity, for instance—than others. Several factors influence our results, including the quality of the input data, borehole conditions, pattern differences between LWD and EWL, and significant stretch/squeeze effects. WebNov 16, 2024 · Well logs are useful not only to identify bedding planes, fractures, reservoirs, and fault zones, but also to infer information, such as the physical properties of rocks, … quebec teacher salary