Petrochina Company Limited

Boe Technology Group Co., Ltd.

Ordos Yuansheng Optoelectronics Co., Ltd.

China Electric Power Research Institute

State Grid Corporation of China

Global Energy Interconnection Research Institute Co. Ltd

Huafeng Wang

Ning Li

Kewen Wang

Hongliang Wu

Zhou Feng

Peng Liu

Chen Wang

Lei Zhang

Sheng Zhang

Yusheng Li

Qingfu Feng

Guangfu Tang

Chong Gao

Xiaoguang Wei

Huaxin Wang

Hongzhou Luan

Haiyu Yu

Chengxiang Wang

Yuanliang Lan

Binsen Xu

Zhiqi Li

Wandi Zhou

Pengzhi Li

A method and an apparatus for automatically extracting image features of electrical imaging well logging, wherein the method comprises the steps of: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing and marking a typical geological feature in the electrical imaging well logging image covering the full hole, obtaining a processed image, and determining the processed image as a training sample according to types of the geological features; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample; using the trained deep learning model, recognizing type of a geological feature of an electrical imaging well logging image of a well section to be recognized, and performing morphological optimization processing on the recognition result to obtain a feature optimization recognition result. The solution can automatically, quickly and accurately recognize the typical geological features in the electrical imaging well logging image.

Method for automatically extracting image features of electrical imaging well logging, computer equipment and non-transitory computer readable medium

The present invention provides a stratum component optimization determination method and device, which fall within the technical field of oil-gas exploration well logging. The method comprises: establishing a stratum rock component model according to core analysis data and geological conditions of a stratum to be detected, and determining a well logging curve determined by a participation model; determining a well logging response equation expression corresponding to the well logging curve determined by the participation model; parsing, recording and storing the well logging response equation expression, establishing a target function of an optimization problem, and solving the target function through an iteration algorithm to determine an optimal component content of the stratum to be detected. By establishing the stratum rock component model, determining corresponding well logging response equation, and parsing through an expression parsing method and recording and storing the well logging response equation expression, and then, establishing the target function of the optimization problem, and obtaining the optimal component content of the stratum to be detected through the iteration algorithm, the present invention can not only optimizes the self-defined well logging response equation expression of the user, but achieves a high processing precision.

Stratum component optimization determination method and device

A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.

Method and apparatus for automatically recognizing electrical imaging well logging facies

The invention provides a plate hanging device and an alignment film coating system. The plate hanging device includes a plate hanging part and a control part, wherein the plate hanging part is used for keeping the part of a transfer plate not coiled on a cylinder at a stretched state in a plate hanging process; the control part is used for controlling the cylinder to rotate to coil the transfer plate on the surface of the cylinder, the plate hanging device further includes a liquid spray part, the liquid spray part is connected with the control part and is controlled by the control part to uniformly spray a chemical reagent onto the surface to be jointed of the transfer plate to increase the friction between the transfer plate and the cylinder, and the surface to be jointed is a surface to be jointed with the cylinder of the transfer plate.

Plate hanging device and alignment film coating system

The present invention relates to a self-cooled thyistor device for ultra-high voltage fault current limiter. a self-cooled thyristor valve, it adopts horizontal structure consisted by frames, frames is divided into upper and below two spaces by crossbeams, the bottom of frames is supported by insulators. There is a cross plate between two vertical said frames, the cross plate mounts resistors connect with a high potential plate and capacitor through two wires. There is a thyistor string in said frame upper space, which is constituted of thyistors and cooler series. The thyistor string is compressed tightly by press-fit mechanism, thyistor string crosses current transformers. There are high potential plates on both sides of the thyistor, the number of the potential plates is equal to that of thyistor. One side of the high potential plates links frames, said current transformers connects with high potential plates. There are capacitors and resistors connected with the bottom plate of said frames in the below space. The small and well-structured invention meets the requirement of the energy on continuous trigger condition, improves the global reliability of thyristor valve.

Self-cooled thyristor valve

Growing community of inventors

Beijing, China

Huafeng Wang