Method of modeling interactive intelligent three-dimensional implicit structure based on deep learning
AssigneeUniversity of Science and Technology of China
InventorsXinming Wu, Zhengfa Bi
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AssigneeUniversity of Science and Technology of China
InventorsXinming Wu, Zhengfa Bi
Estimating the term…
A method of modeling interactive intelligent three-dimensional implicit structure based on deep learning is provided, including: generating a plurality of geological simulation structural models by using a data simulation technology, to construct a geological simulation structural model library, where the geological simulation structural model has a diversified fold and a fault feature; acquiring, for each, model, geological fault data and unevenly distributed geological horizon data to obtain a training sample data set; training a neural network by using the training sample data set; inputting multi-source heterogeneous data of a target region into a trained neural network, so as to output a geological structural model corresponding to the multi-source heterogeneous data, where the multi-source heterogeneous data includes fault interpretation data and horizon interpretation data, and the multi-source heterogeneous data includes at least one selected from: geological outcrop observation data, well logging data, various geophysical data or empirical knowledge data.
A method of modeling an interactive intelligent three-dimensional implicit structure based on deep learning, comprising:
(canceled)
An electronic device comprising:
A computer-readable storage medium having executable instructions stored thereon, wherein the instructions, when executed by a processor, are configured to cause the processor to:
Dependencies are inferred from the claim text.