22 results about "Development plan" patented technology

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.

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 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 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.

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.

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.

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”.

The invention provides a shale gas fractured horizontal well yield prediction method based on a dual-medium model, and relates to the technical field of petroleum and natural gas engineering, and the shale gas fractured horizontal well yield prediction method comprises the following steps: S1, constructing a dual-medium dynamic coupling model considering adsorption and desorption, stress sensitivity and CO2 displacement; according to the shale gas fractured horizontal well yield prediction method based on the dual-medium model, yield prediction precision is improved, yield prediction is more accurate by constructing a dynamic coupling model, utilizing a mixed deep learning model to extract features and comprehensively considering various influence factors, a reliable basis is provided for development decision making, and the yield prediction accuracy is improved. Fracturing parameters and a CO2 injection scheme are optimized through an intelligent algorithm, the yield is improved, meanwhile, a good carbon sequestration effect is achieved, economic benefits and environmental benefits are considered, the calculation efficiency is improved, the parallel calculation and model order reduction technology is adopted, the model solving speed is increased, the actual production requirement can be rapidly responded, and the development efficiency is improved. And the production strategy can be adjusted in real time.

We provide the system. [Solution] A means of collecting various urban information and analyzing population dynamics, movement patterns, and local use, A means of simulating multiple urban development scenarios based on the analysis results and predicting their impact, A means to optimize the efficient allocation of urban resources based on prediction results, A means that includes terminals for displaying information and collecting opinions so that residents can participate in urban development plans and submit proposals, A system that allows residents to submit their opinions on proposed urban planning plans, and enables the aggregation and analysis of this information using data communication technology. A system that includes this.

The invention relates to the technical field of infant development evaluation, and particularly discloses an evaluation system with infant development lag traceability based on equivalent development time and a method thereof. An existing evaluation method has the problems of evaluation fragmentation, difficulty in lagging traceability, insufficient intervention pertinence, complex operation and the like. According to the system, automation and precision of infant development evaluation are realized through multi-dimensional data acquisition, intelligent analysis and a traceability engine, and a targeted intervention scheme is deduced through traceability. And the data acquisition module is used for acquiring exercise data through wearable equipment and acquiring breeding data through environment logs. And an equivalent development time scale: analyzing data, establishing an evaluation database, identifying a development squeezing relationship, and reversely deducing a lagging root by using a brain development theory and environmental information. And the traceability engine is used for generating a personalized development plan according to a traceability result, including primary implementation, secondary implementation and avoidance implementation, and dynamically adjusting an intervention scheme.

The invention is suitable for the technical field of computers, and provides a development workload evaluation method, device and system and a storage medium, and the method comprises the steps: obtaining user demand information corresponding to to-be-developed software; obtaining business scene content related to the user demand information, and generating development demand information corresponding to the to-be-developed software according to the business scene content and the user demand information and a preset standardized demand template; determining a preliminary development scheme of the to-be-developed software according to the development demand information; and according to the preliminary development scheme, evaluating the development workload of the to-be-developed software. According to the embodiment, the user demand information is automatically converted into the standardized development demand information generated according to the standardized demand template, then the preliminary development scheme can be generated according to the development demand information, then the workload is evaluated according to the preliminary development scheme, the evaluation process of the development workload does not need to be manually carried out offline, and the efficiency is high.

Systems, methods, and other embodiments associated with LLM generation of solution stacks for software solutions are described. In one embodiment, an example method includes accessing a solution definition for a software solution. The solution definition is in human language. The example method includes generating a logical solution topology from the solution definition using a large language model. The example method includes generating a physical solution topology from the solution definition and the logical solution topology using the large language model. And, the example method includes translating the physical solution topology into a stack specification. The stack specification describes a solution stack for creation and implementation of the software solution. The stack specification includes a deployment specification, an implementation plan, and a development plan.

The application discloses a kind of based on numerical simulation's pressure drive limit well spacing determination method, comprising: establishing low-permeability reservoir pressure drive well group geological model;Establishing pressure drive development double-hole double-permeability numerical simulation model;Determine the pressure drive limit well spacing judgment standard;Establish the pressure drive limit well spacing prediction factor set;Establish the pressure drive limit well spacing prediction sample program design table and pressure drive limit well spacing prediction sample library;Establish the pressure drive limit well spacing prediction model.The present application can provide support for the formulation of low-permeability oilfield pressure drive development plan and the compilation of high-quality plan, and has important significance for achieving good results in pressure drive development plan.

A system is provided.SOLUTION: A system comprising: an inputting means for inputting an initial datum of a breeding object; a generating and analyzing means for analyzing the inputted initial datum; a plan creating means for creating a breeding plan based on an AI result; a providing means for providing the created breeding plan; a feedback inputting means for inputting a feedback regarding the breeding; and an updating means for dynamically updating the breeding plan by using the inputted feedback datum.SELECTED DRAWING: Figure 1

The application discloses a kind of regional ecological carrying capacity adaptive development planning twin simulation method and system, it is related to based on ecological carrying capacity adaptive development planning field, the present application realizes the standardization integration of natural resources and ecological environment data by multi-source data intelligent acquisition and preprocessing, constructs integrated digital twin model of ecosystem simulation, dynamic threshold calculation and update, accurately quantifies water resources, land, vegetation and biodiversity multidimensional carrying capacity threshold, and based on historical planning data, establishes adaptive reference set, and the construction influence coefficient of new scheme and ecological index are predicted and evaluated, system compares threshold value and predicted value in real time, automatically warns overload risk, avoids ecological conflict, realizes the change from passive response to active prediction for planning, provides digital, intelligent decision support for regional sustainable development, effectively promotes ecological civilization construction and economic society coordination.

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.