Abstract: A structural stabilizer for a fiber and proppant complex to enhance proppant migration and placement in a fractured well during propping and a preparation method thereof are provided. The structural stabilizer consists of: water, inorganic salt, kaolinite, nitrogen-doped modified graphene oxide, anionic surfactant, non-ionic alkyl polyglucoside, and polyacrylamide. The structural stabilizer improves bonding between a proppant and a fiber when slick water is used in stimulated reservoir volume (SRV) fracturing, prevents separation of the fiber and the proppant during migration, thereby reducing escape rate of the fiber from the fiber and proppant complex.

Abstract: Disclosed is a method and device for processing mirror images of an AI platform, including: scanning a file used for building a mirror image to detect whether a format and syntax of the file are correct, and building the mirror image according to the file if the format and syntax are correct; selecting and installing a component required for mirror image training; adjusting queue positions of mirror images to be imported according to priorities of the mirror images, and importing the mirror images according to the queue positions; classifying and recommending mirror images, and performing a model training according to the mirror images selected; and in response to detecting that a storage of mirror images in a local disk space reaches a preset cleaning threshold, screening the mirror images, and cleaning mirror images screened out.

Abstract: A method for determining a fault root cause includes obtaining first fault information, where the first fault information includes M alarms, and M is an integer greater than or equal to 1; determining, from N pieces of known fault information based on the M alarms, at least one piece of known fault information that matches the first fault information, where each of the N pieces of known fault information includes a plurality of alarms; and determining, based on a fault root cause of the at least one piece of known fault information, information related to a root cause of the first fault information. The root cause of the first fault information is determined by using the known fault information that matches the first fault information.

Abstract: A decoupled ETP model processor is configured to store power consumption data retrieved from power systems; convert the power consumption data into power activated time cycles and power non-activated time cycles; derive a thermal resistance (R) parameter and a capacitance (C) parameter for a predetermined heat flow (Q) parameter at each of the outdoor temperatures; compare the converted power activated time cycles to the actual power activated time cycles; compare the converted power non-activated time cycles to the actual power non-activated time cycles; calculate a first improved resistance-capacitance-heat flow (RCQ) parameter set and a respective first outdoor temperature for the compared and converted power activated time cycles to the actual power activated time cycles; calculate the Q parameter at each outdoor temperature during the power activated time cycles; and calculate the R parameter and the C parameter at each outdoor temperature during the power non-activated time cycles.

Abstract: A decoupled ETP model processor is configured to store power consumption data retrieved from power systems; convert the power consumption data into power activated time cycles and power non-activated time cycles; derive a thermal resistance (R) parameter and a capacitance (C) parameter for a predetermined heat flow (Q) parameter at each of the outdoor temperatures; compare the converted power activated time cycles to the actual power activated time cycles; compare the converted power non-activated time cycles to the actual power non-activated time cycles; calculate a first improved resistance-capacitance-heat flow (RCQ) parameter set and a respective first outdoor temperature for the compared and converted power activated time cycles to the actual power activated time cycles; calculate the Q parameter at each outdoor temperature during the power activated time cycles; and calculate the R parameter and the C parameter at each outdoor temperature during the power non-activated time cycles.