Southwest Petroleum University

University of Electronic Science and Technology of China

Yi Ding

Jian Xiong

Fuhu Deng

Xiangjun Liu

Zhen Qin

Lixi Liang

Zhiguang Qin

Wen Zhang

Fuyuan Tan

Lianlang Hou

Linlin Huang

Hongqi Liu

Tianming Zhuang

Shiqiong Liu

A generative adversarial network used for image shape transformation. The image shape transformation includes generating a segmentation mask of an image to be transformed and constructing a generator and a discriminator. The image shape transformation further includes constructing the generative adversarial network through the generator and the discriminator, constructing a loss function, training the generative adversarial network by a gradient descent method according to the loss function, and inputting the segmentation mask of the image to be transformed into the trained generative adversarial network to obtain an image shape transformation result.

Method for image shape transformation based on generative adversarial network

A key generation method based on a deep learning generative adversarial network includes: preparing a training set image; construction of a key generation network: constructing the key generation network according to a generator network and a discriminator network, and inputting the training set image to the key generation network; and training of the key generation network: training the key generation network by a deep learning method to generate a key.

Key generation method using a key generation network constructed according to a generator network and a discriminator network

A comprehensive geological-engineering classification evaluation method for low-permeability reservoirs, includes: constructing geological classification evaluation indexes of a reservoir: adopting gray correlation method to obtain main controlling factors of reservoir geology of the low-permeability reservoirs that affects fracturing effects; based on the main controlling factors of the reservoir geology, constructing the geological classification evaluation indexes of low-permeability reservoirs by principal component analysis; constructing engineering classification evaluation indexes of the reservoir: adopting gray correlation method to obtain main controlling factors of geomechanics of the low-permeability reservoirs that affects fracturing effects; based on the main controlling factors of geomechanics, constructing the engineering classification evaluation indexes of low-permeability reservoirs by an analytic hierarchy process; and according to classification limit values of the geological classification evaluation indexes of a reservoir and engineering classification evaluation indexes of a reservoir, achieving classification of reservoir types.

Comprehensive geological-engineering classification evaluation method for low-permeability reservoirs

A method for testing and extracting paleo-tectonic geostress based on rock core, including: selecting rock cores in different tectonic periods; preparing standard cylindrical samples from the rock cores in a specific orientation; subjecting the samples to an acoustic emission test to test paleo-stresses of multiple tectonic periods and obtain paleo-tectonic stress data sequence; based on a correlation analysis and an Euclidean distance of the stress data sequence, stripping and extracting multi-level Kaiser stress points of the acoustic emission of rock cores from different formations, so as to calculate and evaluate the ground stress of an evaluated formation in an evaluated paleo-tectonic period.

Method for testing and extracting paleo-tectonic geostress based on rock core

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Chengdu, China

Yi Ding