Abstract: Provided is a method for shale gas production prediction, including: acquiring real shale gas production data, and determining a target production decline curve model according to the real shale gas production data; setting a time step for production prediction, and obtaining a linear production decline curve by performing production prediction by using the target production decline curve model based on the time step; determining target shale gas production residuals according to the linear production decline curve and the real shale gas production data, inputting the target shale gas production residuals to a long short-term memory, and obtaining a residual prediction result by performing production prediction according to the long short-term memory and the time step; and determining a target production prediction result of shale gas well to be subjected to production prediction based on the linear production decline curve and the residual prediction result.

Abstract: Provided are anti-TNFR2 (tumor necrosis factor receptor 2) antibodies, antigen-binding fragments, and the uses thereof.

Abstract: Provided is a method for shale gas production prediction, including: acquiring real shale gas production data, and determining a target production decline curve model according to the real shale gas production data; setting a time step for production prediction, and obtaining a linear production decline curve by performing production prediction by using the target production decline curve model based on the time step; determining target shale gas production residuals according to the linear production decline curve and the real shale gas production data, inputting the target shale gas production residuals to a long short-term memory, and obtaining a residual prediction result by performing production prediction according to the long short-term memory and the time step; and determining a target production prediction result of shale gas well to be subjected to production prediction based on the linear production decline curve and the residual prediction result.

Abstract: Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core.

Abstract: The present disclosure provides a method and system for constructing a digital rock, and relates to the technical field of digital rocks. According to the method, a three-dimensional (3D) digital rock image that can reflect real rock information is obtained using an image scanning technology, and the image is preprocessed to obtain a digital rock training image for training a generative adversarial network (GAN). The trained GAN is stored to obtain a digital rock construction model. The stored digital rock construction model can be directly used to quickly construct a target digital rock image. This not only greatly reduces computational costs, but also reduces costs and time consumption for obtaining high-resolution sample images. In addition, the constructed target digital rock image can also reflect real rock information.

Abstract: The present disclosure provides a method and system for constructing a digital rock, and relates to the technical field of digital rocks. According to the method, a three-dimensional (3D) digital rock image that can reflect real rock information is obtained using an image scanning technology, and the image is preprocessed to obtain a digital rock training image for training a generative adversarial network (GAN). The trained GAN is stored to obtain a digital rock construction model. The stored digital rock construction model can be directly used to quickly construct a target digital rock image. This not only greatly reduces computational costs, but also reduces costs and time consumption for obtaining high-resolution sample images. In addition, the constructed target digital rock image can also reflect real rock information.

Abstract: The present disclosure relates to a parallel proxy model based machine learning method for oil reservoir production. With the proposed method, multiple optimized candidate solutions can be obtained within an iteration, and then a matrix laboratory (e.g., MATLAB) is used to call numerical simulation software Eclipse in parallel to conduct actual evaluation on the candidate solutions simultaneously, so that optimization time of complex problems can be greatly reduced. With the method of the present disclosure, the efficiency of solving an oilfield production optimization problem can be speeded up to a greater extent than in the art, and the final optimization effect can be improved. Moreover, the method of the present disclosure may further be used for well pattern optimization, history matching, and so on, apart from adjusting schedules of the producers and injectors in the oilfield.

Abstract: The present disclosure illustrates a chromatic aberration adjusting method and apparatus of a detection device. The method includes the following steps: recording optical parameters corresponding to multiple image detection components when the multiple image detection components are respectively used to obtain images of multiple different standard films, selecting one of the optical parameters for each standard film, enter the selected optical parameter into a database as a base, and adjust the optical parameters of other image sensing components according to the database. The apparatus comprises a recording module, a selection module, an input module and an adjustment module.

Abstract: A method and system for determining contact angles of porous media, including: in a displacement simulation experiment, injecting a displacement fluid into a actual core sample, and performing computed tomography scanning on the core to determine three-dimensional images at different oil displacing time points; segmenting different phases of the three-dimensional images to obtain segmented three-dimensional images; marking a contact line between different phases according to the segmented three-dimensional images, where the phases are underground fluids or displacement fluids and a rock matrix in the displacement simulation experiment; and determining a contact angle of the porous media at different 3D positions at different time points according to the contact line. The method and system provided can obtain the dynamic changing process of the contact angle at different 3D positions in the core at different displacement time points, reflect the wettability of the real reservoir environment more accurately.

Abstract: The present disclosure illustrates a chromatic aberration adjusting method and apparatus of a detection device. The method includes the following steps: recording optical parameters corresponding to multiple image detection components when the multiple image detection components are respectively used to obtain images of multiple different standard films, selecting one of the optical parameters for each standard film, enter the selected optical parameter into a database as a base, and adjust the optical parameters of other image sensing components according to the database. The apparatus comprises a recording module, a selection module, an input module and an adjustment module.

Abstract: The present invention discloses a method and system for determining contact angles of porous media. The method includes: in a displacement simulation experiment, injecting a displacement fluid into a real core, and performing computed tomography (CT) scanning on the core to determine three-dimensional images at different oil displacing moments; segmenting different phases of the three-dimensional images to obtain segmented three-dimensional images; marking a contact line between different phases according to the segmented three-dimensional images, where the phases are underground fluids or displacement fluids and a rock matrix in the displacement simulation experiment; and determining a contact angle of a porous medium at different positions at different moments according to the contact line.