Abstract: A resource scheduling method, a resource scheduling system, a device, and a computer-readable storage medium are disclosed. The resource scheduling method may include: obtaining a scheduling object from a scheduling queue (S100); and when the scheduling object is a customized resource, splitting the customized resource according to the current resource state to obtain a scheduling unit list (S200), the scheduling unit list including first scheduling units configured to form the customized resource; and sequentially scheduling the first scheduling units in the scheduling unit list (S300).

Abstract: Introduced here is an approach for managing errors generated during artificial intelligence-based analysis encrypted data. As an illustrative example, a computing system can may be configured to generate, train, and/or implement machine learning (ML) models to detect or predict aspects of one or more types of cancer based on homomorphically encrypted patient health data. The computing system may selectively identify timing for implementing a noise management mechanism during the data processing for the ML models.

Abstract: An electroactive bio-carrier module and a sewage treatment device using same are provided, which relate to the field of bioelectrochemistry and sewage treatment. The electroactive bio-carrier module is composed of an anode module and a cathode module made of a conductive material. The anode module is formed by connecting carbon fiber brushes in series and is of a vertically ring type structure; the cathode module is formed by connecting stainless steel meshes in series; the stainless steel meshes are in a folded horizontal stacked design; the anode and cathode modules are connected through an external lead wire to form a circuit. Surfaces of the anode and cathode modules can both enrich microorganisms, biofilms are formed on the surfaces. The electrode module is arranged in an up-flow type sewage treatment device and is used as an electroactive bio-carrier, to form a hybrid sewage treatment device with a built-in electroactive bio-carrier.

Abstract: The embodiments of the present disclosure disclose a resource scheduling method, apparatus and system. The method comprises: receiving, by a management node, a Pod creation request from a user, wherein the Pod creation request comprises: requirements of each container for each type of shareable resources; selecting, by the management node, a node for a Pod object to be created, and allocating each type of shareable resources of each container to the Pod object according to shareable resource information of a shareable device in the selected node; and binding the Pod object, the selected node and allocated resources, and storing the Pod object bound to the selected node and the allocated resources. The embodiments of the present disclosure introduce a management and scheduling mechanism for shared resources, thereby saving resources and increasing the resource utilization.

Abstract: A GPU operating method, apparatus, device, and non-transitory computer-readable storage medium are disclosed. The method may include: running, based on a multi-process service (VIPS) server process running on a shared GPU, processes in at least two to-be-run containers simultaneously on the shared GPU (S101), where the shared GPU is a GPU on which the MPS Server process is currently running.

Abstract: The present disclosure discloses a marker for screening and distinguishing NFC apple juice based on non-targeted metabolomics and use thereof, relating to the technical field of distinguishing of juice. The marker for distinguishing NFC apple juice disclosed in the present disclosure is selected from the following molecules: gallocatechin, catechin, taxifolin, p-hydroxybenzaldehyde, 5-methoxysalicylic acid, azelaic acid, caffeic acid, chlorogenic acid, epicatechin, eriodictyol, ferulic acid, isoquercitrin, naringenin, n-fructosyl isoleucine, p-coumaraldehyde, p-coumaric acid, phloretin, phlorizin, procyanidin B1, quercetin-3-O-galactoside and rutin. The above markers may be used for distinguishing the NFC apple juice and the FC apple juice, and have relatively high accuracy.

Abstract: Methods, apparatuses, electronic devices, and computer readable storage media for image processing are provided. In one aspect, an image processing method includes: determining a plurality of image feature maps of a target image, the plurality of image feature maps corresponding to different preset scales; determining, based on the plurality of image feature maps and for each pixel of pixels in the target image, a first probability that the pixel in the target image belongs to a foreground and a second probability that the pixel in the target image belongs to a background; and performing panoramic segmentation on the target image based on the plurality of image feature maps, the first probabilities of the pixels in the target image, and the second probabilities of the pixels in the target image.

Abstract: A gamma ray spectrum unfolding method for elemental capture spectroscopy logging and a device therefor including the steps of first preprocessing the data obtained from an elemental capture spectrometry instrument; constructing a primary element group and an auxiliary element group according to the degree of interactions among the elements via theoretical analysis and numerical calculation of spectrum profiles, characteristic peak channels, and backgrounds of different elements; unfolding by using the least square method based on the construction of the primary element group and the auxiliary element group; and finally reconstructing the spectrum based on theory according to the yield of each element obtained by unfolding with the least square method, and comparing the measured gamma ray spectrum with the reconstructed gamma ray spectrum for error control, thereby improving the spectrum unfolding precision.

Abstract: A gamma ray spectrum unfolding method for elemental capture spectroscopy logging and a device therefor including the steps of first preprocessing the data obtained from an elemental capture spectrometry instrument; constructing a primary element group and an auxiliary element group according to the degree of interactions among the elements via theoretical analysis and numerical calculation of spectrum profiles, characteristic peak channels, and backgrounds of different elements; unfolding by using the least square method based on the construction of the primary element group and the auxiliary element group; and finally reconstructing the spectrum based on theory according to the yield of each element obtained by unfolding with the least square method, and comparing the measured gamma ray spectrum with the reconstructed gamma ray spectrum for error control, thereby improving the spectrum unfolding precision.

Abstract: The present application provides a method and a system for determining a saturation exponent of a heterogeneous carbonate reservoir. The method comprises: dividing a target reservoir into at least two reservoir types in accordance with a predetermined rule; obtaining a correspondence relationship between a saturation exponent and a bound water saturation in each of the reservoir types; determining the reservoir type to which a to-be-measured core belongs in accordance with the predetermined rule; obtaining a bound water saturation of the to-be-measured core; and calculating the saturation exponent of the to-be-measured core according to the bound water saturation of the to-be-measured core on the basis of the correspondence relationship of the reservoir type to which the to-be-measured core belongs.

Abstract: 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.

Abstract: The present invention provides a stratum component optimization determination method and device, which fall within the technical field of oil-gas exploration well logging. The method comprises: establishing a stratum rock component model according to core analysis data and geological conditions of a stratum to be detected, and determining a well logging curve determined by a participation model; determining a well logging response equation expression corresponding to the well logging curve determined by the participation model; parsing, recording and storing the well logging response equation expression, establishing a target function of an optimization problem, and solving the target function through an iteration algorithm to determine an optimal component content of the stratum to be detected.

Abstract: 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 resul

Abstract: 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.

Abstract: Disclosed is a method of acquiring the rock component content in a stratum, the method comprising: on the basis of acquired element capture spectroscopy logging data, performing normalization processing on each element yield in the stratum rock components; on the basis of an element yield curve obtained from the normalization processing and a pre-established stratum rock interpretation model, establishing a logging curve response equation set; and utilizing the established logging curve response equation set and an optimization algorithm, calculating the content of a rock component in a stratum. The method and device can directly process element yield data of element capture spectroscopy logging, and can improve the accuracy of calculating the rock component in a stratum.

Abstract: The present invention relates to the technical field of well logging interpretation. The present invention provides a method for determining the karst development degree of a reservoir, a computer readable storage medium and a device, and pertains to the technical field of well logging interpretation, the method comprising: extracting vertical denudation pore features and horizontal denudation pore features from electrical imaging logging image data of a undetermined reservoir, and counting well logging feature parameters; determining karst belts of the undetermined reservoir and classifying the karst development degree according to the vertical denudation pore features, the horizontal denudation pore features and the well logging feature parameters; and determining the available reservoir development degree of the undetermined reservoir according to the karst belts and the result of the classified karst development degree.

Abstract: 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.

Abstract: 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 resul

Abstract: The present invention provides a method and a device for measuring a formation elemental capture gamma ray spectrum, pertaining to the field of oil-gas exploration and well logging technologies. The method comprises: performing moderation on neutrons emitted from a neutron source according to a neutron capture cross section of a test sample; and adjusting a relative location of the test sample with respect to the neutron source, so that a standard capture gamma ray spectrum of the test sample is measured and obtained at a location where a thermal neutron flux reacting with atomic nucleuses of the test sample reaches a first predetermined value. The present invention performs moderation on a neutron source according to neutron capture cross sections of different test samples to measure and obtain elemental capture gamma ray spectra of the test samples, thereby obtaining various formation elemental capture gamma ray spectra with higher accuracy.

Abstract: The present application provides a method and a system for determining a saturation exponent of a heterogeneous carbonate reservoir. The method comprises: dividing a target reservoir into at least two reservoir types in accordance with a predetermined rule; obtaining a correspondence relationship between a saturation exponent and a bound water saturation in each of the reservoir types; determining the reservoir type to which a to-be-measured core belongs in accordance with the predetermined rule; obtaining a bound water saturation of the to-be-measured core; and calculating the saturation exponent of the to-be-measured core according to the bound water saturation of the to-be-measured core on the basis of the correspondence relationship of the reservoir type to which the to-be-measured core belongs.