Saudi Arabian Oil Company

International Business Machines Corporation

Beijing Tonglanhai Technology Co., Ltd

Chinese Academy of Sciences

Qingdao Topscomm Communication Co., Ltd

Beijing Institute of Technology

Other

Baotou Sansi Technology Development Co., Ltd.

Beijing Plp Conductor Line Products Co. Ltd.

Yue Ma

Yi Luo

Jianyu Li

Jianhua Wang

Huarong Wang

Xiao Liang Hu

Steven Francis Best

Tong Wang Fei

Zhen Liu

Yubing Li

Xu Ji

Weida Wang

Changle Xiang

Min Qu

Meng Xin Zhu

Lili Xu

Xiang Yu Hao

Lei Cao

Si Bin Fan

Hui Liu

Yan Wu

Yi He

Li-Ju Chen

Bin Dong

Tie Li

Hongwei Liu

Dan Dan Zheng

Yan Xa Zhou

Weiguang He

Qian Liang

Lijin Han

Xu Guang Gu

Yu Xin Kou

Shaoping Lv

Xiaowei Sun

Bo Min Nie

Xiang Qian

Ze'an Jiang

Nasher Muqbel Albinhassan

Wenji Wu

Qinghui Xie

Hongbin Xiao

Methods and systems are disclosed for automatically integrating subsurface structural maps with strike and dip information measured in subsurface wells. The method includes obtaining a seismic image volume for a subsurface region of interest and a well log for each of a plurality of wellbores penetrating the subsurface region of interest. Further, the method includes determining a seismic map of a geological surface from the seismic image volume, wherein the seismic map comprises an estimated depth and an estimated vector normal to the seismic map at a plurality of horizontal locations and determining an intersection point for each of the plurality of wellbores with the geological surface. Additionally, the method includes forming a cost function based, at least in part, on the seismic map and the intersection points of the plurality of wellbores and constructing a subsurface map by solving a constrained optimization problem based on the cost function.

Automatic tying structure maps of subsurface horizons to well-derived orientation information

The methods may include obtaining a seismic dataset regarding a subsurface region of interest and obtaining a well log for each of multiple wellbores penetrating the subsurface region of interest. The methods may also include determining a geological surface from the seismic dataset, wherein the geological surface includes seismic-estimated orientation data estimated at multiple points on the geological surface. The methods may further include determining an intersection point for each of the multiple wellbores with the geological surface, wherein the intersection point includes well-measured orientation data. The methods may still further include generating an updated geological surface by updating the seismic-estimated orientation data at the multiple points on the geological surface based, at least in part, on the well-measured orientation data.

Updating subsurface structural maps with well-measured orientation data while preserving local geological structures

Methods and systems are disclosed for forming an image of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model for the subterranean region of interest, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset. The method further includes determining a transformed observed seismic dataset by applying a nonlinear amplitude transform to the observed seismic dataset and determining a transformed simulated seismic dataset by applying the same transform to the simulated seismic dataset. The method still further includes forming an objective function based on the transformed observed seismic dataset and the transformed simulated seismic dataset, and determining an updated seismic velocity model based upon finding an extremum of the objective function.

Method and system for determination of seismic propagation velocities using nonlinear transformations

A fault arc signal detection method using a convolutional neural network, comprising: enabling a sampling signal subjected to analog-digital conversion to respectively pass through three different band-pass filters; respectively extracting a time-domain feature and a frequency-domain feature from a half wave output of each filter; constructing a two-dimensional feature matrix by means of extracted time-frequency feature vectors from the output of each filter, and stacking the feature matrices corresponding the outputs of the three filters to construct a three-dimensional matrix for each half wave; and processing a multi-channel feature matrix by using a multi-channel two-dimensional convolutional neural network, and determining, according to the output result of the neural network, whether the half wave is an arc. The detection method based on the convolutional neural network has higher accuracy and reliability in recognizing a fault arc half wave, can implement targeted training for different load conditions, and is self-adaptive.

Fault arc signal detection method using convolutional neural network

A fault-arc identification method, device and apparatus, and a storage medium. The method comprises: performing sampling on a target arc at a high frequency, and obtaining a high-frequency sampling signal (S); preprocessing the high-frequency sampling signal, and obtaining a processed sampling signal (S); performing feature extraction on the processed sampling signal, and obtaining a target arc feature (S); and inputting the target arc feature to a neural network model, obtaining a target output result, and determining, according to the target output result, whether the target arc is a fault-arc (S). Performing sampling on a target arc at a high frequency can obtain more arc features from the target arc. Moreover, since a neural network model has favorable data classification capability, using a neural network model to perform determination with respect to the target arc can improve the accuracy and reliability of a fault-arc detection result.

Fault-arc identification method, device and apparatus, and storage medium

A vector analysis calculation-based arc crosstalk signal identification method. A new sampling circuit manner is proposed in the method, wherein a current signal is sampled on zero and live lines, and the signal is converted into two digital signals with a sampling rate of 200 MHz by means of a dual-channel ADC, and the digital signals are sent to a hardware digital signal processing unit. Five pass bands are selected to perform band-pass filtering on the two signals separately. Time-sharing processing and vector analysis are performed on the filtered signals, and the amplitude ratio and fluctuation characteristics of two resistor terminal voltages, as well as the phase difference between shunt resistor and inductor terminal voltage signals are extracted as crosstalk feature quantities. According to a zero-crossing signal, a system segments the feature quantities extracted by a hardware processing module and sends same to a neural network for classification and determination.

Vector analysis calculation-based arc crosstalk signal identification method

Methods and systems including computer programs encoded on a computer storage medium, for utilizing equivalent linear velocity for first arrival picking of seismic refraction. In one aspect, a method includes receiving data for the shot gather record, generating a diving wave equation curve for a particular parameter pair of multiple parameter pairs, and integrating the shot gather record data corresponding to the diving wave equation curve over a selected range of offsets of the shot gather to generate an equivalent linear velocity value for the particular parameter pair and the shot gather record data, selecting, from the equivalent linear velocity values for the plurality of parameter pairs, a greatest equivalent linear velocity value of the equivalent linear velocity values, the greatest equivalent linear velocity value corresponding to a first-arrival parameter pair, and determining, using the first-arrival parameter pair, a set of first-arrival onsets for the selected sub-range of offsets.

Equivalent linear velocity for first arrival picking of seismic refraction

Methods and seismic shot generation and data collection systems configured to determine a monotonically increased velocity v*(z) from a monotonically increased velocity model by requiring the monotonically increased velocity v*(z) to be nearest to a refraction velocity v(z) determined for an estimated depth z and to be characterized by a positive slope such that the refraction velocity v(z) increases with depth, and to generate a subsurface image based on the estimated depth z and the determined monotonically increased velocity v*(z).

Methods and seismic shot generation and data collection systems utilizing refraction in horizontal stratified media for monotonically increased velocity determinations

Provided in the present invention is a method for inducing pluripotent stem cells to differentiate into ventricular myocytes in vitro, which is achieved by maintaining, amplifying and culturing pluripotent stem cells in vitro, adding a substance capable of activating the Smad1/5/8 signaling pathway directly or indirectly into the culture medium when pluripotent stem cells are in the middle stage of myocardial differentiation, i.e. the period of differentiating into cardiac muscle cells from mesoderm cells or myocardial precursor cells, which enables stem cells to differentiate into ventricular myocytes directionally. Ventricular myocytes with biological activity and function are obtained successfully by means of the method of the present invention, which reveals the regulatory mechanism during differentiation of myocardial precursor cells into ventricular myocytes; moreover, the human ventricular myocytes obtained via differentiation can be widely used in treating myocardial infarction by cell transplantation, in toxicological analysis of the heart and in the development of heart-related drugs.

Method for inducing pluripotent stem cells to differentiate into ventricular myocytes in vitro

A method for computing amplitude independent gradient for seismic velocity inversion in a frequency domain includes receiving seismic data associated with a region. The region comprises one or more earth subsurface layers represented by a plurality of points, and each point is associated with a seismic velocity. Seismic velocities at the plurality of points are determined by iteratively updating the seismic velocities based on a plurality of gradient values, where each gradient value corresponds to a point and is determined by evaluating a gradient of an objective function at a location of the point. A seismic image of the one or more earth subsurface layers is displayed based on the determined seismic velocities.

Computing amplitude independent gradient for seismic velocity inversion in a frequency domain

A method for generating a geophysical image of a subsurface region includes defining a computational sub-volume for the geophysical image including a predetermined number of seismic traces of a plurality of seismic traces and a predetermined number of samples per each one of the plurality of seismic traces, generating a data matrix corresponding to a first sub-volume of the subsurface region based on the defined computational sub-volume, the data matrix comprising the predetermined number of samples for the predetermined number of traces of a portion of a seismic dataset corresponding to the first sub-volume. The method also includes performing a singular value decomposition and estimating a coherence between the predetermined number of traces of the data matrix by performing a weighted sum of a variance of a plurality of right singular vectors of the data matrix, and assigning the estimated coherence to a location in the geophysical image.

Systems and methods for detecting seismic discontinuities using singular vector variances

Post-stack seismic data is received. Transformed seismic data is created from the received post-stack seismic data, including performing a super-resolution radon transform on the post-stack seismic data. Signal and noise regions are separated using the transformed seismic data, including using a defined muting function to remove unwanted noise. An inverse radon transform is performed using the separated signal and noise regions, outputting only signals.

Super-resolution radon transform based on thresholding

The present invention discloses a method for switching modes of an electromechanical transmission system which includes a clutch CLa motor A, a clutch CLa brake Ba motor B and three planet rows KKand KThe electromechanical transmission system according to the present invention achieves two different structural modes of EVT1 and EVT2 by changing states of the clutch CLand the brake BThe EVT1 mode is mainly a system running state at a low vehicle speed under a high driving torque demand, and the EVT2 mode is mainly a system driving state at a high vehicle speed under a low driving torque demand. Mode switching without speed difference and power interruption can be achieved by switching vehicle speed selection and reasonable adjustment of engine and motor torque.

Method for switching modes of electromechanical transmission system

The present invention discloses an electromechanical compound transmission device for a tracked vehicle. The electromechanical compound transmission device includes a front transmission mechanism, a power coupling mechanism, an independent drive mechanism, and convergent planetary gearsets arranged on both sides of the power coupling mechanism. The present invention can not only implement driving, steering, and other functions of a vehicle, but also provide sufficient electric energy for a vehicle-mounted device. In other words, a series mode can be adopted to satisfy a torque output requirement, and is mainly used for low and medium-low speed driving, as well as reverse driving and climbing steep slopes; and a series-parallel mode can also be adopted to satisfy requirements of high and medium-high speed driving, and can achieve relatively high transmission efficiency and fuel economy.

Series-hybrid electromechanical compound transmission device for tracked vehicle

The present invention discloses novel compositions and methods for enhancing cardiac differentiation efficiency of stem cells or promoting ventricular and atrial cardiomyocytes formation from stem cells. The present invention also discloses the atrial and ventricular cardiomyocytes formed from the stem cells, and the uses of the cardiomyocytes for repairing cardiac injuries and screening for new medicaments for treating cardiac injuries.

Methods and compositions for preparing cardiomyocytes from stem cells and uses thereof

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Beijing, China

Yue Ma