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119results about How to "Exact correlation" patented technology

Shale oil and gas integration output analysis method based on dynamic leakage flow volume

The present invention discloses a shale oil and gas integration output analysis method based on a dynamic leakage flow volume. The method comprises: arranging and preparing data; preliminarily estimating a limit leakage flow volume and effective fracture half-length, and calculating a dynamic leakage flow volume, a reservoir average pressure change and pressure correction factors; drawing an output normalization pseudopressure curve, calculating a fluid diffusion coefficient in a fracture reconstruction area, drawing a square root time characteristic curve, calculating the effective fracture half-length, and determining the limit leakage flow volume and the final output degree according to the correction Duong method; if the effective fracture half-length and the limit leakage flow volume calculation value are very different from an input value, substituting the calculation value into the step 2 again to perform circulation until the convergence is consistent so as to obtain the accurate effective fracture half-length and the limit leakage flow volume; substituting a dynamic leakage flow volume formula into a macroscopic material balance model, and performing comparison to obtain the accumulation contribution of the size of the fracture reconstruction area to the shale oil and gas production; and determining an optimal fracture horizontal well fracture interval and an optimal well spacing. The shale oil and gas output dynamic analysis and evaluation accuracy is improved.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Project recommendation method based on attribute coupled matrix decomposition

The invention discloses a project recommendation method based on attribute coupled matrix decomposition. The method comprises steps as follows: firstly, giving attribute information of projects and calculating the similarity between the projects with a coupled object similarity measuring index; then learning conceal eigenvectors of users and the projects with a matrix decomposition algorithm, during learning of the conceal eigenvectors of the projects, constructing a regularized term by means of the attribute information of the projects, and constraining the execution process of matrix decomposition, so that the projects with similar attribute information have similar conceal eigenvectors; finally, according to the learned conceal eigenvectors of the users and the projects, projecting scores of projects which are not scored by the users by use of inner products of the conceal eigenvectors of the users and the predicts, and providing personalized project recommendation for the users according to the predicted scores. The problems of similarity calculation of the projects, cold start of project terminals and recommendation accuracy in a recommendation system are solved with the method.
Owner:INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM

Method and system for classification and detection of sleep snoring

ActiveCN107358965AImplement automatic classificationAvoid affecting the recognition effectSpeech analysisSupport vector machineHypopnea
The invention discloses a method and system for classification and detection of sleep snoring. The method includes the steps of picking up the sleep snoring of a patient all night long, and extracting each snoring signal according to the sleep snoring signals of the patient all night long; calculating related features of fourth types of snoring including the snoring before and after a breathing disorder event, apnea snoring, hypopnea snoring and general snoring in the sleep snoring all night long; performing feature dimension reduction using principal component analysis (PCA), classifying the sleep snoring all night long respectively according to the snoring before and after the breathing disorder event, apnea snoring, hypopnea snoring and general snoring through a multi-class support vector machine (SVM), and realizing the recognition of the four types of snoring; and conducting statistics on the snoring signals all night long to obtain statistical results of the number of times of the four types of snoring, and predicting an AHI value according to the statistical results. According to the invention, the automatic classification of four types of snoring is realized accurately, the number of breathing disorder events all night long is determined by using the classification of snoring and the types of snoring before and after to predict the AHI value, and a data reference is provided for the patient with the OSAHS.
Owner:SOUTH CHINA UNIV OF TECH
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