43 results about "Development plan" patented technology

The invention discloses a territorial space planning stock land management and control early warning system based on multi-dimensional analysis, and relates to the related field of territorial space management, and the system comprises a data association module which is used for collecting territorial space planning constraint data and regional multi-dimensional land data of a target region, and carrying out the spatial association superposition, and forming a stock land database; the partition development module is used for carrying out stock unit identification and regional aggregation analysis to obtain a partition development stock land; the multi-dimensional constraint analysis module is used for constructing a multi-dimensional constraint system, performing multi-dimensional constraint analysis on the partition development stock land, and determining a partition stock land volume threshold value; and the land use management and control early warning module is used for monitoring and obtaining stock land use development planning volume data according to a partition stock land use volume threshold value, and performing land use management and control early warning based on a grading early warning mechanism. The technical problem that existing stock land management and control early warning is insufficient in accuracy and timeliness is solved, and the technical effect of improving the stock land management and control early warning accuracy and timeliness is achieved.

The invention provides an intelligent system development method and device based on a large model. Receiving an original demand input by a user, and carrying out demand clarification and improvement through a multi-round dialogue reinforcement learning mechanism; synchronously generating a user story, an application architecture model, an executable code and a test case based on the improved original demand; constructing a three-dimensional task scheduling model and dynamic optimization of a retrograde development plan according to the generated development elements; running static risk mode detection and dynamic progress risk prediction in parallel in a development full cycle; and when the project is finished, automatically executing a knowledge distillation process, and carrying out vectorization storage and model iteration of development experience. According to the embodiment of the invention, the intelligent level of software development is improved, and the development efficiency is improved, the quality risk is controllable and the knowledge is continuously evolved by establishing the full-link digital twinning of demand-design-development-test-operation and maintenance.

Disclosed are methods, systems, and computer programs for dynamically generating a development plan for a resource site. The methods for example, include receiving seismic data associated with a subsurface of the resource site. The seismic data may be associated with a propagated wavefield within the subsurface of the resource site and can include at least structural geological data associated with the resource site. The methods also include directionally determining a plurality of rate of change data based on the propagated wavefield within the subsurface. The methods further include executing an averaging operation using the plurality of rate of change data and thereby generate an impedance model. The impedance model may be used to generate a development plan which is then used for energy development operations at the resource site.

The invention provides a research and development verification test management method and system, a computer and a storage medium. The method comprises the following steps: step S110, receiving a preliminary design verification test plan subdivided according to a development plan; s120, information setting is carried out on the received preliminary design verification test plan, a design verification test plan is formed, and the set information comprises plan starting time and plan finishing time; step S130, according to the information set in the previous step, assigning the design verification test plan to the use side client of the corresponding laboratory personnel; step S140, acquiring actual time data information of an actual test performed on the design verification test plan by laboratory personnel; and S150, by designing and verifying the test plan and the actual time data information of the actual test, performing assessment and management according to a preset assessment rule. The method can adapt to various complex verification working conditions, the test efficiency is improved, necessary index calculation results are provided, the labor cost is reduced, and the accuracy is improved.

The invention provides a tight gas reservoir gridding evaluation method, system and device and a storage medium, and the method comprises the steps: obtaining dynamic and static data of a target block, the dynamic and static data comprising geological data and production dynamic data; geological reserve gridding parameters are determined based on the geological data, and the geological reserves are gridded; determining the dynamic reserves of each well in the target block based on the production dynamic data, and meshing the dynamic reserves of each well; calculating the unused reserves and the ratio of the dynamic reserves to the static reserves of the target block grid by grid based on the geological reserve gridding and the dynamic reserve gridding of each well; and obtaining a gas reservoir evaluation result based on the unused reserves and the dynamic and static reserve ratio. According to the method, fine evaluation and infilled well arrangement of the tight gas reservoir are achieved, well pattern infilled evaluation refinement is high, calculation is convenient, and the method has great significance in development evaluation of the tight gas reservoir, development scheme compiling, recovery ratio improving countermeasure making and the like.

The present application relates to a kind of shale oil carbon dioxide fracturing production dynamic intelligent prediction method, the method is applied to the improved AHP-GRA-EWM method quantitatively calculate the influence weight of different categories factors to different stage carbon dioxide fracturing-throughput shale oil well production dynamic parameter, obtain the main control influence factor of different production stage production dynamic parameter;The main control influence factor of different production parameters of different production stages is respectively introduced into different artificial neural network system, nonlinear polynomial regression model system and different percolation mathematical model, establishes prediction model, selects the model with highest prediction accuracy to correct improvement, combination generates the production dynamic intelligent prediction model of the entire production cycle of target shale reservoir block carbon dioxide fracturing-throughput shale oil well;Based on the intelligent prediction model, the different production parameter values of different production stages of new well are calculated, and the production dynamic curve is drawn.The method designed by the present application can realize the fine and efficient prediction of carbon dioxide fracturing-throughput shale oil well production dynamics, provide basis for the development of development plan and optimization, improve the single-well production and recovery ratio of target shale reservoir block.

A method for calculating the current oil-water interface depth in developed edge-bottom water reservoirs. It includes defining parameters; determining the formula for calculating the volume shift of the oil-water interface; determining the formula for solving the current oil-water interface depth; and obtaining multiple V values. n / V2 value; calculate each V n / V2 value and Q n The difference between / Q2 values ​​yields the current oil-water interface depth H. n The method for calculating the oil-water interface depth in developed edge-bottom water reservoirs provided by this invention has the following beneficial effects: it helps to gain a clearer understanding of the current reservoir characteristics, elevating the understanding from qualitative to quantitative calculation in practical work, guiding the quantitative identification of strongly water-flooded areas and remaining oil-rich areas in the reservoir, and serving as the basis for the next step of rational and efficient reservoir adjustment and development, guiding the deployment of development plans, and helping to further improve reservoir recovery. Since edge-bottom water reservoirs are commonly developed in oilfields worldwide, this method also has high potential for widespread application.

The invention discloses a reservoir fracture-cavity body engraving method and system based on well drilling response, and belongs to the technical field of oil and gas field exploitation. The method comprises the following steps: determining the length of a fracture-cavity body development section actually encountered by a borehole; taking the length of a fracture-cavity body development section actually encountered by a borehole as a target, adjusting a seismic structure tensor attribute threshold value, and determining a critical seismic structure tensor attribute threshold value; and according to the critical seismic structure tensor attribute threshold, determining the distance between the core part of the fracture-cavity body and the borehole and the orientation of the fracture-cavity body, and determining the contour and the spatial distribution of the fracture-cavity body. The method is reliable in principle and easy and convenient to operate, can directly use oil well seismic data and engineering response data such as well drilling and well logging to engrave the fracture-cavity body, provides a basis for oil well development scheme decision making, and has wide market application prospects.

The invention discloses a gas injection development scheme optimization method based on carbon dioxide oil displacement, which comprises the following steps: 1) obtaining production characteristic related data of related wells using carbon dioxide oil displacement in a research area, and comparing and analyzing the production characteristics of each well; 2) selecting a general state equation set sub-simulator of numerical simulation software to carry out gas drive reservoir modeling according to reservoir characteristics of an oil area and the reality of an oil field and aiming at the characteristics of gas drive reservoir numerical simulation; 3) geologic modeling is carried out, wherein the geologic modeling comprises establishment of a grid data field, establishment of table data and establishment of a dynamic model; 4) performing oil reservoir development history fitting; and (5) according to the final oil reservoir model, injection-production parameter optimization and periodic water injection development index prediction are carried out, and an optimized test well group gas injection development scheme is obtained. According to the method, carbon dioxide oil displacement numerical simulation is carried out, corresponding reasonable mining method research and development scheme optimization research are carried out, and a scientific and reasonable water-gas alternate gas injection recovery efficiency improving scheme can be effectively guided and formulated.

The invention relates to a project development data management method and system based on artificial intelligence, equipment and a medium. The method comprises the steps of establishing a resource index database based on a preset container mirror image database in combination with received task description and project anchor points, generating a development scheme, executing data modification operation in an independent container based on the development scheme, and generating a detailed operation log; receiving a process instruction of a user in a project development process, and generating an instruction context in combination with a current project state; a response result is generated through the AI model module, automatic operation in the independent container is executed, and an instruction execution log is generated; when project development is completed, whether project resources such as detailed operation logs and instruction execution logs in the independent containers are complete or not is verified; and if so, packaging the project resources and submitting the project resources to a project warehouse. By adopting the method, the problems of environment isomerism, data dispersion, unsmooth AI interaction and the like in traditional development can be effectively solved, and the cooperation efficiency is remarkably improved.

An object of a system according to an embodiment is to make an optimal training plan for each player and provide a customized training menu.SOLUTION: A system according to an embodiment includes a training plan drafting unit, a training menu providing unit, and a performance monitoring unit. The training plan creation unit analyzes the player data and creates an optimal training plan for each player. The training menu providing unit provides a training menu customized for each player based on the training plan drafted by the training plan drafting unit. The performance monitoring unit monitors the performance of the player based on the training menu provided by the training menu providing unit and provides feedback in real time.SELECTED DRAWING: Figure 1

The invention discloses an artificial intelligence-based geographic surveying and mapping data processing analysis method, which comprises the following steps of: acquiring geographic surveying and mapping data, acquiring a region label by utilizing a region feature recognition model, and establishing a three-dimensional geographic model; performing region division on the three-dimensional geographic model through boundary coordinates, obtaining region tags, obtaining a first development index according to a first mapping relation, obtaining an associated region tag and an associated index according to a second mapping relation, obtaining a distance index according to a third mapping relation, and obtaining a second development index according to the distance index; obtaining a second development index through the correlation index and the distance index, and establishing a development prediction model to obtain a development label set; determining a target development label by using a greedy algorithm, and updating the three-dimensional geographic model; obtaining a regional development ecological value, and carrying out regional ecological early warning; according to the method, accurate prediction is carried out for regional development, a more reasonable and effective development plan is made for geographic regional development, the rationality and convenience of urban layout are improved, and ecological development is guaranteed.

The invention discloses a reservoir fracture-cavity body engraving method and system based on acid fracturing pressure response, and belongs to the technical field of petroleum geological exploration. The method comprises the following steps that communication time is determined on the basis of oil pipe pressure response in an acid fracturing construction curve of an acid fracturing well, and then the extending distance of an artificial fracture within the communication time is obtained; and the distance between the edge of the fracture-cavity body and the shaft crack initiation point under the condition of different seismic tensor attribute threshold values is obtained, the superposition degree is calculated by combining the extending distance of the artificial fracture within the communication time, the optimal seismic tensor attribute threshold value is determined, and the target well fracture-cavity body is engraved according to the optimal seismic tensor attribute threshold value. According to the method, geology and engineering are integrated, fracture-cavity body seismic data and acid fracturing pressure response data can be directly utilized to finely engrave the fracture-cavity body, and a basis is provided for subsequent development scheme decision-making of an oil well.

The invention discloses a logic optimization system and a machine site quantitative evaluation method for on-site survey work of a large land wind power project, and the method comprises the following steps: 1, determining the weight values of influence factors corresponding to a survey site and a project, and calculating the sum of the weights of the influence factors as 1; 2, performing field personnel configuration, and planning a field work development plan; 3, carrying out field data recording, and inputting the data into the model according to categories; 4, parameters are corrected, comprehensive sensitive factors of all the point locations are measured and calculated, and the point locations are sorted and summarized; 5, generating a survey result table and a field survey report; the method can save the survey time and labor cost, improve the survey result precision, and tamp the micro-siting work basis in the early working stage of the wind power project.

1. The name of the design product: graphical user interface of dairy industry monitoring and early warning system for mobile phone. 2. The use of the design product: for dairy industry monitoring and early warning. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: for viewing dairy industry monitoring and early warning. 7. The human-computer interaction mode of the graphical user interface: design 1 front view is the login page of the dairy industry monitoring and early warning system. In design 1 front view, after entering the account and password, click "login", design 1 interface change state diagram 1 is presented, in design 1 interface change state diagram 1, click "policy interpretation", design 1 interface change state diagram 2 is presented, click "two departments jointly issued "food industry "eleven five" development plan" in design 1 interface change state diagram 2, design 1 interface change state diagram 3 is presented. In design 2 front view, after entering the account and password, click "login", design 2 interface change state diagram 1 is presented, in design 2 interface change state diagram 1, click "industry dynamics", design 2 interface change state diagram 2 is presented.

The present invention relates to the technical field of subway entrance and exit design, and discloses an optimized design method for subway entrance and exit models. By means of an oblique photography real scene model and the development plan of surrounding buildings, the number of entrances and exits required for the station is determined; by analyzing a three-dimensional geological model, passenger flow prediction, the destination of the passenger flow and the development plan of surrounding buildings, multiple entrance and exit locations are determined; an improved Dijkstra algorithm is used for path optimization to generate paths between different entrance and exit locations and the nearest entrance and exit gate positions, and the optimal path is determined; according to the passenger flow of the station, building design specifications and evacuation time, the width of each entrance and exit and the setting form of escalators and stairways are calculated; a subway entrance and exit model is generated through the number of entrances and exits, the entrance and exit locations, the optimal path, the width of the entrances and exits and the setting form of escalators and stairways. Errors and deviations in the design process are reduced, and the accuracy and efficiency of the design can be improved.

This invention belongs to the field of gas reservoir development technology, specifically relating to a method for calculating the dynamic reserves of water-bearing gas reservoirs based on material balance. It includes the following steps: S1, constructing a model of the rock compressibility coefficient varying with water saturation and effective stress; S2, based on a starting pressure gradient experiment, constructing a model of the starting pressure gradient of cores with different permeability varying with water saturation and formation pressure; S3, constructing a gas seepage and movement model; S4, constructing a material balance model for the water-bearing gas reservoir; S5, based on the models constructed in steps S1-S4, predicting the dynamic reserves of the water-bearing gas reservoir. This invention achieves a simple and accurate calculation of the dynamic reserves of gas reservoirs, which is of great significance for correctly evaluating the development effect of gas reservoirs, accurately predicting the dynamics of gas reservoir development, and making sound gas reservoir development plans.

The invention discloses a data management system, method and device and a medium, and relates to the technical field of data management. The business database collects energy loss parameters and asset quantity corresponding to the to-be-managed smart park in real time; and the index database evaluates the operation capability and the management capability of the smart park, and performs visual display according to the information collected by the business database. According to the invention, through real-time acquisition of the energy loss parameters and the asset quantity corresponding to the smart park to be managed, on one hand, the asset condition of the smart park can be timely known to facilitate subsequent resource allocation, on the other hand, the energy loss condition can be timely known to improve the overall control of the park to further improve the management quality of the park, and on the other hand, the management efficiency is improved. And the operation capability and the management capability of the park are evaluated, so that the profitability of the park can be known conveniently, and a park transformation plan and a development plan can be further given.

The present invention provides a method and system for selecting a development planning strategy of weaponry and equipment in a multi-party camp game. The method includes the following steps: obtaining the camp parameters, initial prior probabilities, and a set of strategies of weaponry and equipment development strategies of two multi-party camps participating in the camp game; calculating the camp payoffs at the initial game stage based on the camp parameters; using the clan solution method to calculate the optimal allocation results of all participants in the multi-party camps for the camp payoffs; constructing a perfect Bayesian equilibrium according to the optimal allocation results, in combination with the set of strategies and the initial prior probabilities; obtaining the optimal strategy selection and posterior probabilities at the initial game stage by solving the perfect Bayesian equilibrium; taking the posterior probabilities of each current game stage as the prior probabilities of the next game stage, and obtaining the optimal strategy selection of each game stage based on the solution of the perfect Bayesian equilibrium for each game stage. The present invention has the effect of accurately selecting the development planning strategy of weaponry and equipment.

This invention relates to the field of natural gas technology and economics, specifically to a system and method for calculating the unit full cost of a natural gas field development plan. The method involves: acquiring parameters of the natural gas field development plan, dividing these parameters into basic parameters and annual parameters; calculating the total cost, operating taxes, and surcharges of the natural gas field development plan based on these parameters; obtaining the full cost of the natural gas field development plan based on the total cost, operating taxes, and surcharges; calculating the unit full cost of the natural gas field development plan based on the obtained full cost; performing a sensitivity analysis on the unit full cost; and finally obtaining the results of the sensitivity analysis. The advantages of this invention are that it assists in the economic evaluation of natural gas field development plans, improves the effectiveness of investment, accelerates the process from planning to implementation of development plans, and reduces business risks.

The invention provides a fault control body oil reservoir water cone form prediction method and application, and relates to the technical field of oilfield development. The method comprises the following steps that on the basis of a water cone interface differential equation and a seepage velocity calculation formula, the fault control body oil reservoir is regarded as one-way linear flow, and a water cone height differential equation is established; determining a water cone height nonlinear equation through a material balance method; and solving and predicting the heights of water cones with different yields in different production stages by adopting a Newton method. By means of the method, water cone height prediction, water breakthrough time prediction and reasonable production system optimization are achieved, and a theoretical basis is provided for development scheme compilation and development technology policy making of the fault control body oil reservoir.

The embodiment of the invention provides a turbidite lobe configuration characterization method and device, electronic equipment and a storage medium, and the method mainly comprises the steps: recognizing the boundary of a single lobe through the flat section distribution feature of a deep-sea turbidite lobe, obtaining the deposition form parameters of the single lobe, fitting the quantitative relation of length-thickness and width-thickness, and obtaining the deposition form parameters of the single lobe; obtaining empirical formulas of length / thickness and width / thickness of a single lobe body, and taking the empirical formulas as constraint parameters of lobe body configuration simulation; extracting an optimal attribute body based on a high-resolution shallow earthquake, and realizing a three-dimensional training image of a single leaf body through an earthquake body engraving technology; configuration modeling of a single lobe level is realized through simulation, and verification is carried out through comparison with a real drilling well. The deep water turbidite lobes quantitative characterization method based on multi-point statistics is formed, and the method has an important supporting effect on oil and gas reservoir reserve accurate evaluation, development scheme design guidance, development risk evaluation and efficient management.

The invention relates to the technical field of oil field ocean oil extraction, and provides a method of a balance platform life prolonging design and an oil field development mode. Comprising the following steps: collecting development block data, and determining a block condition; designing a development scheme according to the block condition; cost input is matched according to the development scheme; calculating investment required for improving the current oil production situation; combining a platform life extension scheme and a development design scheme based on an input-output ratio; performing combination scheme optimization based on benefits; according to the method, the oil extraction scheme design and platform life extension planning process can be accelerated, and the effects of saving cost and improving the maximum yield are achieved.

This invention discloses an improved GAN-based EUR prediction method for volumetric fractured wells, belonging to the interdisciplinary field of oil and gas field development and artificial intelligence technology. The method includes: S1, data acquisition and preprocessing; S2, constructing a generative adversarial network model; S3, introducing Dirichlet mixed noise and back-comparison loss; S4, model adversarial training with multi-loss fusion; and S5, data generation and model evaluation. This invention constructs a single-negative-multiple-positive-sample back-comparison learning mechanism for Dirichlet mixed latent variables, strengthening the consistency of feature structure and parameter correlation between generated and real data, significantly improving EUR prediction accuracy under small sample conditions, and achieving higher SDMetrics and R... 2 The indicators are all superior to traditional methods, and can accurately capture the impact of key fracturing parameters on EUR, providing a reliable basis for the capacity assessment of volumetric fracturing wells and the optimization of development plans, thus helping to improve the efficiency and economic benefits of oil and gas resource extraction.

Systems and methods for determining land use development potential are provided, including a graphical user interface for real-time analysis. The systems and methods further implement search functions and real-time feedback and recommendations for real-time adjustment of a proposed land use development plan to ensure compliance with environmental and regulatory information.

Disclosed are methods, systems, and computer programs for dynamically generating a development plan for a resource site. The methods for example, include receiving seismic data associated with a subsurface of the resource site. The seismic data may be associated with a propagated wavefield within the subsurface of the resource site and can include at least structural geological data associated with the resource site. The methods also include directionally determining a plurality of rate of change data based on the propagated wavefield within the subsurface. The methods further include executing an averaging operation using the plurality of rate of change data and thereby generate an impedance model. The impedance model may be used to generate a development plan which is then used for energy development operations at the resource site.

The embodiment of the invention provides a longitudinal water drive use degree prediction method and system, and belongs to the technical field of oil reservoir development. The method comprises the following steps: collecting physical experiment data and numerical simulation data corresponding to a target reservoir to form corresponding prediction basic data; constructing a corresponding using degree prediction model based on the prediction basic data; wherein the utilization degree prediction model comprises a plurality of evaluation indexes and prediction indexes constructed by attributes corresponding to prediction basic data; in the water drive process, real-time production data are collected, and real-time use degree prediction is conducted based on the real-time production data and the use degree prediction model; and carrying out development scheme optimization based on a real-time utilization degree prediction result, and carrying out data optimization on the scheme in real time. According to the scheme of the invention, the prediction precision of the use degree is improved, and the control capability on the complex dynamic change of the reservoir is enhanced.

The invention relates to a method for determining a relative permeability curve of ternary composite oil displacement, which comprises the following steps of: establishing a numerical simulation model by using rock core experimental data, and setting a relative permeability curve as uncertain parameter fitting rock core displacement data so as to invert the relative permeability curve of ternary composite oil displacement; the relative permeability curve determined by the method is not limited by the type of the ternary composite solution and is also suitable for a Darcy seepage equation in numerical simulation software, the relative permeability curve is applied to research work in the aspects of reservoir engineering parameter calculation, dynamic analysis, numerical simulation and the like, the accuracy of a research result can be improved, and the research efficiency is improved. The seepage characteristics in the tertiary oil recovery process can be further elaborated, and important technical support is provided for formulating a reasonable working system, optimizing a development scheme and improving the recovery efficiency of tertiary oil recovery.

The application discloses a progressive soil moisture downscaling method and model based on a hybrid attention mechanism, and relates to the technical fields of remote sensing image processing and artificial intelligence. The application realizes the gradual improvement of the spatial resolution of the original SMAP soil moisture data through the design of the PDHAM downscaling model, and has the following main advantages: 1) the progressive phased modeling is adopted, the instability caused by large-scale cross downscaling is relieved, and the practicability of the model is significantly improved; 2) in the aspect of feature processing, the model improves the fine downscaling ability of the downscaling model from two aspects of “key feature selection” and “detail information strengthening” by integrating multiple attention mechanisms and multi-scale deep convolution modules, so that the accuracy of the soil moisture downscaling result and the stability of the soil moisture downscaling model are improved. The project of the application is a national key research and development plan, the project number is 2024YFF1307700, and the project name is “Research and Demonstration of Ecological Protection and Restoration Technology for Highway Network in Extreme Environmental Conditions”.

A computer-implemented method for optimizing a well development sequence for a development zone includes receiving one or more inputs based on the development zone. The method can also include generating a well development plan based on the development zone and the one or more inputs. Additionally, the method can also include calculating an expected value based on the well development plan. A system and a non-transitory computer-readable medium are also provided.