Abstract: A calculation system for predicting a proppant embedding depth based on a shale softening effect is provided, including a sampling test terminal, a scheduling module, a monitoring module, and a calculation module, wherein the scheduling module, the monitoring module, and the calculation module are connected in communication, and the monitoring module is connected to an external operating system through a wireless network, wherein the external operating system is configured to perform a hydraulic fracturing operation and receive a first control signal and/or a second control signal from the monitoring module. The sampling test terminal is configured to test the samples and obtain test data. The scheduling module is configured to determine a target construction parameter.

Abstract: The present disclosure relates to a calculation method for predicting a proppant embedding depth based on a shale softening effect, including determining a spontaneous imbibition depth-soaking time curve; determining a Young’s modulus-soaking time curve of core surfaces; establishing a proppant embedding model containing a softened layer by a finite element method; conducting a numerical simulation to obtain an embedding volume-soaking time curve; and obtaining a calculation formula for a proppant embedding volume considering a softening effect.

Abstract: A method for identifying the genetic sex of Portunus trituberculatus is provided. The SNP markers provided by the present invention presents biallelic heterozygosity in male individuals, but presents homozygous allele type in female individuals, and can be detected by PCR amplification and sequencing method, HRM method or KASP method. The detection method is flexible and the results are stable. Among them, the KASP and HRM detection methods have high throughput, fast detection speed, and simple application. It provides an important tool for the breeding of all-female population of P. trituberculatus.