2results about How to "Good technical value" patented technology

The present application relates to the technical field of plant science, and particularly relates to a device and method for measuring the anatomical structure of plant fine roots without thin sectioning. By directly staining, stably positioning and microscopically observing the cross section of fine roots, clear and complete anatomical images of the cross section of fine roots can be obtained without dehydration, embedding and ultrathin sectioning, and reliable measurement of anatomical parameters can be realized. The steps of fixing, dehydrating, embedding and ultrathin sectioning are omitted, the sample preparation process is significantly simplified, the time from processing to imaging is shortened, the overall measurement efficiency is improved, and the device is suitable for multi-sample and batch analysis scenarios. Under the premise of ensuring the reliability of the identifiable and measurable anatomical structure, the process is simplified, the efficiency is improved and the cost is reduced, and the device has good technical value and application prospect.

This invention relates to the field of oilfield development technology, specifically to a method, apparatus, and electronic equipment for inverting the apparent permeability of shale reservoirs based on gradient-enhanced PINN. The method includes the following steps: S1, establishing the basic differential equation of the target shale reservoir, and constructing various heterogeneous models of shale reservoir permeability based on the basic differential equation; S2, obtaining the basic parameters required for the basic differential equation and generating datasets for each of the various heterogeneous models through numerical simulation; S3, constructing an inversion model based on a neural network, inputting the datasets into the inversion model, and comparing the parameters inverted from each of the various heterogeneous models with the actual parameter values. If the relative error between the two does not exceed a set threshold, the inversion model is considered valid; otherwise, it is invalid. The technical solution of this invention can be applied to the prediction of apparent permeability of shale reservoirs, has stronger information integration capabilities, and high prediction accuracy.