CN-122022720-A - Intelligent research and development system for cement materials

CN122022720ACN 122022720 ACN122022720 ACN 122022720ACN-122022720-A

Abstract

The invention provides an intelligent cement material research and development system, which is characterized in that cement material sample data is stored through a data set, experimental formula data for cement production is automatically designed through a formula design device based on the cement material sample data in the data set, a preparation flow and a maintenance flow of cement materials are automatically executed through automatic experimental equipment based on the experimental formula data, a performance verification device is used for automatically performing performance test on a cement test piece to obtain performance actual measurement data corresponding to the experimental formula data, the performance experimental data and the experimental formula data are correspondingly stored in the data set, so that the formula design device is driven to optimize experimental formula design logic based on the updated data set, more accurate and reliable formula data is provided, a closed-loop automatic flow from experimental formula prediction to performance evaluation is realized, the intelligent degree of material research and development is improved, and the research and development efficiency of materials can be improved.

Inventors

LI YAN
MA HONGPENG
BAI ZHEN
GUO TING

Assignees

中国石油大学(北京)

Dates

Publication Date: 20260512
Application Date: 20260119

Claims (10)

1. An intelligent development system for cementitious materials, the system comprising: The data set is used for storing cement material sample data, wherein the cement material sample data comprises sample formula data of each component of the cement material and performance actual measurement data of a corresponding cement test piece; the formula design device is used for automatically designing experimental formula data for cement production based on cement material sample data and research and development targets in the data set, wherein the input data of the formula design device is a target performance value of cement materials, and the output data is experimental formula data; the automatic experimental equipment is used for automatically executing the preparation flow and the maintenance flow of the cement material based on the experimental formula data so as to obtain a cement test piece corresponding to the experimental formula data; And the performance verification device is used for performing performance test on the cement test piece to obtain performance measured data corresponding to the experimental formula data, and storing the performance measured data and the experimental formula data in the data set correspondingly.
2. The system of claim 1, wherein the recipe design means comprises: the reverse formula design module is used for outputting the quasi-formula data corresponding to the target performance value according to the input target performance value; The forward performance prediction module is used for predicting a quasi-performance value corresponding to the cement material according to the quasi-formulation data; The adjusting module is used for circularly executing the following operations until the difference value between the quasi-performance value corresponding to the quasi-formula data and the target performance is smaller than or equal to a preset threshold value, adjusting the design logic of the reverse formula design module according to the difference value between the quasi-performance value corresponding to the quasi-formula data and the target performance value, driving the adjusted reverse formula design module, and re-executing the forward performance prediction module; And the output module is used for outputting the final pseudo-formula data and the corresponding pseudo-performance value after the circulation is finished.
3. The system of claim 2, wherein the reverse-formulation module implements design logic using a generative-type network.
4. The system of claim 2, wherein the input data to the forward performance prediction module comprises recipe composition data, environmental process conditions, and material multi-scale characteristics comprising at least one of molecular characteristics, microscopic characteristics, macroscopic properties.
5. The system of claim 1, wherein the automated experiment device comprises: The controller is used for acquiring experimental formula data and mapping the experimental formula data into an experimental action sequence of the mechanical device, and each experimental action in the experimental action sequence sequentially forms a preparation flow and a maintenance flow of the cement material; and the mechanical device is used for automatically executing each experimental action to realize a target experimental action sequence and obtaining a cement test piece corresponding to the experimental formula data.
6. The system of claim 5, wherein the mechanical device comprises at least one mechanical arm having a plurality of degrees of freedom, the distal end of the mechanical arm being provided with a jaw adapted to grip each of the laboratory instruments during the cement material preparation and curing process.
7. The system of claim 6, wherein the automated experiment device further comprises: The device comprises a circular arc-shaped experiment table and all experiment tools, wherein the experiment tools are placed at specified positions on the circular arc-shaped experiment table according to the use sequence in the cement material preparation flow and the maintenance flow; And in the cement material preparation flow and the maintenance flow, the mechanical arm takes a required experimental device from at least one designated position, executes at least one experimental action in an experimental action sequence, and returns the experimental device to the original position after the execution is finished.
8. The system of claim 6, wherein the robotic arm is further provided with a load cell.
9. The system of claim 5, wherein the automated experiment device further comprises: And the man-machine interaction device is connected with the controller and used for intervening the automatic preparation flow of the cement test piece by a user.
10. The system of claim 1, wherein the system further comprises: and the evaluation device is used for analyzing the contribution degree of each component of the cement material to the cement performance based on the cement material sample data in the latest data set so as to screen each component required by design based on the contribution degree before the formula design device automatically designs experimental formula data for cement production.

Description

Intelligent research and development system for cement materials Technical Field The application relates to the technical field of cement research and development, in particular to an intelligent research and development system for cement materials. Background Deep and ultra-deep layers become main matrix sites for oil and gas exploration, and have great significance for expanding reserves and stabilizing yield. However, it is very difficult to drill deep wells of ten thousand meters by going into the deep ground. In particular, the cement material for well cementation has severely declined strength at the ultra-high temperature of more than 200 ℃, is difficult to ensure the integrity of a shaft, the effective isolation of a cement sheath and the production and stability safety of oil and gas production increase, and is one of the biggest problems faced by deep well cementation. Therefore, optimizing the cement mechanical property and realizing the efficient and intelligent research and development of the ultra-high-temperature cement slurry system have great significance for supporting the ultra-deep well cementation. At present, aiming at the research and development of ultra-high temperature well cementation cement for ultra-deep wells above 200 ℃, fresh formulations can completely meet the requirements on mechanical properties and engineering properties, and particularly at 260 ℃ and above, the challenge is particularly serious, and is mainly due to the great difficulty in the research and development process and the long period required by prediction. Specifically, the development of the ultra-high temperature cement slurry formula needs to traverse various filler types, proportioning schemes, high-temperature additive selection and different curing durations (such as 7 days, 14 days, 28 days and even long time), and is limited by the safety consideration and the quantity of the high-temperature curing kettles. For example, increasing the amount of sand or silica powder can improve the mechanical properties of cement, but the production area, the grading number (ranging from 200 meshes to 1500 meshes) and the proportion of the sand can significantly influence the performance of the final cement, and for example, adding aluminum material can enhance the stability of the gel structure at high temperature so as to strengthen the cement, but the selection of the types of raw materials such as aluminum powder, metakaolin, fly ash and the like and the addition amount can also have decisive influence on the final performance. In short, various factors together form the symptom of low efficiency of the traditional test method in cement slurry research and development. Therefore, the development process of cement paste is efficiently advanced, the optimal formula is rapidly and accurately screened, and the severe requirements of ultra-deep well ultra-high temperature environment are met, so that the cement paste becomes an unprecedented and vital task. Disclosure of Invention The specification provides an intelligent research and development system for cement materials, which aims to solve the problem of low research and development efficiency of cement materials such as conventional well cementation cement. In order to solve the technical problems, the first aspect of the specification provides an intelligent research and development system for cement materials, which comprises a data set, a formula design device, an automatic experimental device and a performance verification device, wherein the data set is used for storing cement material sample data, the cement material sample data comprises sample formula data of each component of the cement materials and performance actual measurement data corresponding to cement test pieces, the formula design device is used for automatically designing experimental formula data for cement production based on the cement material sample data and research and development targets in the data set, the input data of the formula design device are target performance values of the cement materials, the output data are experimental formula data, the automatic experimental device is used for automatically executing a preparation flow and a maintenance flow of the cement materials based on the experimental formula data to obtain the cement test pieces corresponding to the experimental formula data, and the performance verification device is used for performing performance test on the cement test pieces to obtain the performance actual measurement data corresponding to the experimental formula data and storing the performance actual measurement data and the experimental formula data in the data set. In some embodiments, the formulation design device comprises a reverse formulation design module, a forward performance prediction module and an adjustment module, wherein the reverse formulation design module is used for outputting pseudo-formulation data corresponding to the target perf