Petrochina Company Limited

Microsoft Technology Licensing, LLC

China Mobile Communications Group Co., Ltd.

China Mobile Group Design Institute Co., Ltd.

Yusheng Li

Peng Liu

Ning Li

Kewen Wang

Hongliang Wu

Zhou Feng

Min Chu

Huafeng Wang

Chen Wang

Qiang Liu

Frank Kao-Ping Soong

Qingfu Feng

Yining Chen

Frank Kao-ping Soong

Xin Zou

Baochang Liu

Qifan Wang

Yongqiang Luo

Guanjun Han

Binsen Xu

A method and device for controlling a distributed direct current power supply system are provided in embodiments of this disclosure. The method includes: acquiring a direct current busbar current of the distributed direct current power supply system; acquiring, according to the direct current busbar current and a rated capacity of a power conversion unit in the distributed direct current power supply system, a quantity of power conversion units that meets a power requirement of a load; and adjusting, according to the quantity of power conversion units, power conversion units that are turned on in the distributed direct current power supply system. The device is used to implement the method.

Method and device for controlling distributed direct current power supply system

The embodiments of the present disclosure disclose a method and an apparatus for determining the permeability of the reservoir. The method comprises: acquiring logging data corresponding to the two zones at least; determining the permeability of a specified zone in the two zones at least based on logging data corresponding to the specified zone, wherein the specified zone represents any one of the two zones at least; setting weight values corresponding to the at least two zones respectively; and determining the permeability of the reservoir based on the weight values and the permeability respectively corresponding to the two zones at least. The technical solutions provided by the embodiments of the present disclosure can improve the accuracy of the determined permeability of the reservoir.

Method and apparatus for determining permeability of reservoir

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

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

An automated method of providing a pronunciation of a word to a remote device is disclosed. The method includes receiving an input indicative of the word to be pronounced. The method further includes searching a database having a plurality of records. Each of the records has an indication of a textual representation and an associated indication of an audible representation. At least one output is provided to the remote device of an audible representation of the word to be pronounced.

Name synthesis

Described is a voice persona service by which users convert text into speech waveforms, based on user-provided parameters and voice data from a service data store. The service may be remotely accessed, such as via the Internet. The user may provide text tagged with parameters, with the text sent to a text-to-speech engine along with base or custom voice data, and the resulting waveform morphed based on the tags. The user may also provide speech. Once created, a voice persona corresponding to the speech waveform may be persisted, exchanged, made public, shared and so forth. In one example, the voice persona service receives user input and parameters, and retrieves a base or custom voice that may be edited by the user via a morphing algorithm. The service outputs a waveform, such as a .wav file for embedding in a software program, and persists the voice persona corresponding to that waveform.

Voice persona service for embedding text-to-speech features into software programs

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Beijing, China

Yusheng Li