Chinese Academy of Sciences

Boe Technology Group Co., Ltd.

Institute of Geology and Geophysics, Cas

Wang Zhang

Fei Tian

Xiaocai Shan

Wei Lu

Jingang Fang

Huifeng Wang

Shengwen Qi

Wenhao Zheng

Bowen Zheng

Songfeng Guo

Yongchao Li

Tianming Huang

Xiaokun Hou

Zan Wang

Lina Ma

Rixiang Zhu

Wenyang Wang

Bo Wan

Yanlong Kong

Yu Zou

Guoliang Li

Guangming Luo

Jiangyun Zhang

Yaping Wang

Xiongqi Pang

Yongjian Zhou

Zhangxing Chen

Weiwei Zhu

Jianing Cong

Wenjie Hao

Yan Zhang

Tao Hu

Haijun Zhao

Guanfang Li

Ning Liang

Zhendong Cui

Lei Fu

Chao Jin

Naigui Liu

Xin Yu

Likuan Zhang

Jianzhao Yan

Yuran Zhang

Hansheng Ji

Zhijun Jin

Boye Fu

Pingchuan Dong

Yongwen Yang

A method and system for monitoring structural deterioration of a reservoir rock mass under a long-time high-temperature condition, and a product are provided. The method includes: arranging ultrasonic transducers and fiber optic extrinsic Fabry-Perot interferometric (EFPI) sensors in a loading briquette; loading ultrasonic waves on a rock mass sample with the ultrasonic transducers; monitoring ultrasonic and acoustic emission signals at the rock mass sample with the fiber optic EFPI sensors; inverting a velocity model indicating a change of a wave velocity inside the rock mass sample over time by fast marching acoustic emission tomography using standard optimization (FaATSO) according to the ultrasonic and acoustic emission signals; and conducting joint inversion by a fast-marching method according to the velocity model, the acoustic emission signals, and observation data to determine a position of rock mass fracturing in the rock mass sample.

Method and system for monitoring structural deterioration of reservoir rock mass under long-time high-temperature condition, and product

A real-time quantitative characterization method, equipment and a medium for rock mass evolution are disclosed. The method includes: the multiphase field detection and monitoring data is fused; a deep learning model driven by physical principles is established based on the physical principles of fluid density; the deep learning model is trained using real-time fused data as input and corresponding evolution distribution images as output; a trained deep learning model is used to obtain an evolution distribution image based on multi-phase field detection and monitoring data of different time periods and types; a mathematical model is used to quantitatively characterize of physical and mechanical parameters in the whole process of progressive failure of the dynamic evolution of the rock mass based on the macroscopic mechanical parameters and evolution distribution images synchronized with multiphase field detection and monitoring data.

Real-time quantitative characterization method, equipment and medium for rock mass evolution

An organic electroluminescent display panel, a method of manufacturing the same, and a display device that can alleviate or avoid the occurrence of pixel crosstalk problems due to lateral conduction of the charge generation layer are disclosed. An organic electroluminescent display panel is provided which comprises: a substrate; an anode layer and a pixel defining layer over the substrate, the pixel defining layer defining pixel units, wherein a recess is provided in the pixel defining layer between adjacent pixel units; a stack of organic electroluminescent units over the anode layer and the pixel defining layer, the stack comprising at least two organic electroluminescent units and a charge generation layer disposed between organic electroluminescent units which are adjacent to each other; a cathode layer over the stack. The corresponding charge generation layers of the adjacent pixel units are disconnected at the recesses. The cathode layer is continuous at the recess.

Organic electroluminescent display panel, manufacturing method thereof, and display device

The present invention belongs to the field of environment monitoring, particularly relates to a COstorage state networking monitoring device, system and method with multi-information fusion. The present invention comprises: obtaining orientation electrical signal data and real-time pressure signals, analyzing a fluid flowing state at a view of a pressure sensor through the real-time pressure signals, and obtaining a COflowing state through the orientation electrical signal data; and obtaining a COregional storage state by combining an orientation COcontent, a COflowing state and the fluid flowing condition at the view of the pressure sensor. By combining accurate short-range COboundary monitoring of orientation electrodes with long-range monitoring of pressure sensors to achieve a wide range of COflowing state monitoring, the present invention can observe more data with higher reliability and effectively aims at the problem of strong inter-well heterogeneity.

COstorage state networking monitoring device, system and method with multi-information fusion

A graph neural network (GNN)-based prediction system for total organic carbon (TOC) in shale solves the problem that the existing shale TOC prediction method cannot fully analyze the complex nonlinear relationship between all logging curves and TOC. The prediction system adopts a method including: acquiring and preprocessing a plurality of logging curves of a target well location in a target shale bed to acquire a plurality of standardized logging curves, windowing the plurality of standardized logging curves, and inputting the windowed logging curves and weight matrix into a trained GNN-based TOC prediction network to acquire TOC of the target well location. The prediction system inputs the plurality of logging curves as correlative multi-dimensional dynamic graph data for analysis and can acquire the complex nonlinear relationship between the logging curves and TOC, thus improving the prediction accuracy of TOC.

Graph neural network (GNN)-based prediction system for total organic carbon (TOC) in shale

The invention belongs to the field of environmental monitoring, and in particular relates to a method for optimally selecting a carbon storage site based on multi-frequency band seismic data. The method comprises the steps of: performing seismic wavelet spread spectrum simulation based on three-dimensional post-stack seismic data to obtain spread spectrum simulated wavelets; building an isochronous stratigraphic framework model of a target horizon, and calculating the geometric structure and spatial distribution of a fault-karst; then performing waveform-indicated inversion to obtain a wave impedance inversion data volume, and obtaining a stable stratum wave impedance data volume through a virtual well cross-well wave impedance interpolation; calculating the difference between the stable stratum wave impedance data volume and the wave impedance inversion data volume to obtain an abnormal wave impedance data volume, then obtaining a fault-karst reservoir bed interpretation model, and determining the position of a carbon storage box.

Method and system for optimally selecting carbon storage site based on multi-frequency band seismic data and equipment

The present disclosure provides a multi-scale three-dimensional (3D) engineering geological model construction system and method. A regional geological model of a target region, a site geological model of each engineering site, and a drilling geological model of each drilling well are constructed. The geological model of each drilling well is superimposed to the site geological model of the corresponding engineering site in the way of step-by-step superimposition, and the site geological model of each engineering site fused with the drilling geological model is superimposed to the regional geological model of the target region. Thus, multi-scale geological model fusion of drilling well, engineering site, and regional mountain is realized. The final multi-scale 3D engineering geological fusion model can provide multi-scale refined geological information for geological suitability evaluation of major geological engineering, so as to ensure accuracy of geological suitability evaluation and site selection of major geological engineering.

Multi-scale three-dimensional (3D) engineering geological model construction system and method

The present disclosure relates to an organic electroluminescent display panel, a method of manufacturing the same, and a display device that can alleviate or avoid the occurrence of pixel crosstalk problems due to lateral conduction of the charge generation layer. An organic electroluminescent display panel is provided which comprises: a substrate; an anode layer and a pixel defining layer over the substrate, the pixel defining layer defining pixel units, wherein a recess is provided in the pixel defining layer between adjacent pixel units; a stack of organic electroluminescent units over the anode layer and the pixel defining layer, the stack comprising at least two organic electroluminescent units and a charge generation layer disposed between organic electroluminescent units which are adjacent to each other; a cathode layer over the stack, wherein the corresponding charge generation layers of the adjacent pixel units are disconnected at the recesses, and wherein the cathode layer is continuous at the recess.

The present disclosure belongs to the field of capture, utilization, and storage of carbon dioxide, particularly relates to a method and system for intelligently identifying a carbon storage box based on a GAN network, and aims at solving the problem that the analysis accuracy of a fault zone area in the prior art is insufficient. The method comprises the steps: delineating seismic waveform data of a stable sedimentary area through a GAN network, and removing seismic waveform data points in the fault zone area; obtaining a stable sedimentary background seismic waveform data invertomer; obtaining a three-dimensional wave impedance prediction data volume; making a difference to obtain an abnormal wave impedance data volume; retaining abnormal wave impedance data of fault-karst in the three-dimensional variance attribute volume to obtain a fault-karst wave impedance data volume; and then obtaining a carbon storage box interpretation model.

Method and system for intelligently identifying carbon storage box based on GAN network

A method for determining rock wettability based on contact angle measurement and correction of multiple oil globules includes: saturating a rock sample with oil, placing a shooting angle calibration circle on a measurement surface of the rock sample, and placing the rock sample saturated with oil in water for water imbibition and oil displacement to form a rock sample with multiple oil globules; acquiring an image of a measurement surface of the rock sample with multiple oil globules at a shooting angle &#x3b1; and a deformation degree of the calibration circle in a shooting field of view, and calculating the shooting angle &#x3b1;; correcting, based on the shooting angle &#x3b1;, a contact angle measurement value &#x3b3; through a contact angle correction model to acquire a contact angle correction value &#x3b8;; and determining, based on the contact angle correction value &#x3b8;, wettability of the rock sample.

System and method for determining rock wettability based on contact angle measurement and correction of multiple oil globules

A method, system and device for comprehensively characterizing a lower limit of oil accumulation of a deep marine carbonate reservoir is provided, aiming to solve the problem that the prior art cannot: accurately determine the lower limit of oil accumulation of the deep marine carbonate reservoir, which leads to the difficulty in predicting and identifying deep effective reservoirs. The method includes: determining lower limit porosity and permeability for oil accumulation based on a boundary line; determining lower limit porosity and permeability for oil accumulation based on a movable oil ratio of a core sample; determining a lower limit pore throat radius for oil accumulation based on a mercury injection experiment; and comprehensively characterizing the lower limit of oil accumulation of a deep marine carbonate reservoir to be predicted. The method, system and device can predict and identify deep effective reservoirs.

Method for comprehensively characterizing lower limit of oil accumulation of deep marine carbonate reservoir

An evaluation method for residual hydrocarbon of post- to over-mature marine source rocks includes the following steps: establishing a hydrocarbon generation potential evolution profile and a hydrogen index evolution profile of post- to over-mature source rocks; determining a critical condition for hydrocarbon expulsion of the source rocks, and inverting original hydrocarbon generation potential of the source rocks; inverting a critical condition for hydrocarbon generation of the source rocks; establishing a hydrocarbon generation, expulsion and retention model for the source rocks; determining a hydrocarbon generation rate, a hydrocarbon expulsion rate and a hydrocarbon retention rate of the source rocks; and calculating a hydrocarbon retention intensity and residual hydrocarbon of the source rocks. The evaluation method establishes an evaluation model for residual hydrocarbon of post- to over-mature source rocks without relying on immature to sub-mature samples.

Evaluation method for residual hydrocarbon of post- to over-mature marine source rocks

A rock brittleness analysis method and system based on mineral content and distribution, and a device are provided. The rock brittleness analysis method includes: performing digital processing on an image of a rock, and performing an autocorrelation analysis on a two-dimensional (2D) array obtained after the digital processing to obtain an autocorrelation coefficient variation curve; using an abscissa value corresponding to an ordinate value of dropping to 1/e on the autocorrelation coefficient variation curve to be an autocorrelation length of the rock; constructing an autocorrelation function for describing a mineral distribution according to the autocorrelation length and the distribution characteristics of a mineral and an elastic modulus in the rock; reconstructing a rock sample of the rock to obtain density and elastic modulus distributions of the rock; and partitioning meshes of the reconstructed rock sample to obtain a brittleness index distribution of the to-be-analyzed rock partitioned in different scales.

Rock brittleness analysis method and system based on mineral content and distribution and device

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Beijing, China

Wang Zhang