29 results about "Production rate" patented technology

A method for determining an injection binomial productivity equation through a gas storage stable point method belongs to the technical field of gas storage exploitation, starts from theoretical formula derivation, obtains the binomial productivity equation, ingeniously avoids interference of stratum coefficients on the binomial productivity equation, and improves the production efficiency. A new method mathematical model of the gas storage stable point method injection productivity equation is determined, and the problem that productivity well test interpretation cannot be carried out when the binomial slope decline is a negative value in productivity evaluation of a multi-point test well is solved; meanwhile, the problems that only one stable yield, stable flowing bottomhole pressure and formation pressure are measured, and binomial parameters of productivity well testing cannot be solved are solved, a basis is provided for calculating the injection capacity in the gas injection period, and the requirements for production and scientific research of a gas field and a mine field are met.

This invention relates to a star-rating management method and system for the deployment and implementation of gas field development wells, belonging to the field of gas field development technology. The invention first establishes an initial production estimation expression and dimensionless production curves for gas wells using dynamic production data from existing similar gas wells. Then, it uses these results to determine the production rate of newly deployed gas wells and, based on production and cost, determines the internal rate of return (IRR) for these wells. If the required IRR is not met, the deployment location and construction process of the new wells are re-optimized until the required IRR is achieved. Simultaneously, the star rating of the gas well's economic benefit is determined based on the IRR. Drilling is then carried out at the new well deployment location that meets the economic development requirements. After drilling, a more detailed fracturing design is conducted, and the IRR and star rating of the gas well are re-determined according to the new design. This invention effectively improves the targeting of single-well geological design and fracturing construction design, thereby improving development results and quality.

A chemical material production scheduling optimization method and device, the method comprises: establishing a target function with profit maximization as the goal, setting constraint conditions, establishing an optimization model of chemical material production scheduling, the constraint conditions include initial constraints, task allocation constraints, time constraints, material constraints, switching time window constraints and raw material inventory constraints; wherein, the switching time window constraint includes that the shutdown time of two similar devices does not overlap and the switching time of the set production event needs to be in working hours; the raw material inventory constraint includes: obtaining the production time of each production event per day within the optimization time, determining the corresponding raw material daily inventory based on the initial production rate of the production event, and setting it within the upper and lower limit range of the daily inventory value; solving the current optimization model, updating the optimization model using the production rate obtained by solving; return to execute the solving of the current optimization model until the iteration end condition is met, and the final optimization result is obtained.

The present application belongs to the technical field of mechanical equipment, and provides a tray conveying system and a method thereof. The present application comprises a conveying assembly, a triggering assembly and a tray detecting assembly. The tray is inputted and / or outputted to a preset station through the conveying assembly. The triggering assembly opens and / or closes the tray detecting assembly through mechanical triggering of the tray. When the tray detecting assembly is opened, it detects whether the tray reaches the preset station. The present application realizes automatic feeding and discharging without manual intervention, improves the efficiency of product discharging, reduces the production cycle of products, improves the yield and production rate of products, and has simple structure, easy processing and reduced manufacturing cost.

The utility model provides an air knife device for removing foreign matters at an inlet of an electro-galvanizing production line, which relates to the technical field of electro-galvanizing production and comprises two supports mounted at a steel structure in front of a tension roller of the electro-galvanizing production line, fixed bases are welded on the supports, and a removing device is mounted on the fixed bases on two sides; the removing device comprises a removing support and a nozzle. According to the air knife device for removing the foreign matters at the inlet of the electrogalvanizing production line, the fan-shaped nozzles are arranged above the strip steel, so that the foreign matters fall off from two sides after being purged, the cost is low, the installation is simple and convenient, a roller system is not damaged, the foreign matters of electrogalvanizing raw materials can be removed under the condition of ensuring continuous production of a unit, and the production efficiency is improved. And the unit operation efficiency, the production rate and the contract delivery rate are improved.

The utility model discloses an automatic laying machine for a fairing, and belongs to the technical field of automatic laying machines, a laying head of the automatic laying machine for the fairing is used for installing and conveying composite material pre-impregnated narrow bands / tows, and a numerical control rotating table of the automatic laying machine is used for installing, clamping and fixing a fairing mold and accurately controlling rotation of the fairing mold. Therefore, the prepreg narrow band / tow can be laid on the fairing mold according to a set track. According to the automatic layer laying equipment, the laying productivity can be greatly improved, the layer laying labor amount can be greatly reduced, waste materials are reduced through an accurate cutting and recycling system, the material utilization rate is improved, the precision and consistency of laying are ensured through a precise numerical control linkage control system of the numerical control rotating table and the multi-axis linkage mechanical arm, and the production efficiency is improved. The manufacturing quality of the fairing is improved, dependence on manpower is reduced due to application of the automatic layer laying equipment, errors and waste caused by human factors are reduced, and therefore the production cost is reduced.

The invention discloses a real-time measurement method for the total heat production rate of an animal group. The method comprises the following steps: detecting the concentration of specific gas in an accommodating space of the animal group; the specific gas concentration curve is analyzed, whether a measurement window period is entered or quitted is determined, and the measurement window period refers to a time period in which the external environment influence is kept relatively constant and is at a low level; in the measurement window period, determining the concentration change rate of the specific gas in real time; calculating the volume generation rate of the specific gas according to the concentration change rate and the effective gas volume of the accommodating space; and calculating the total heat production rate of the animal group in the accommodating space according to the volume production rate of the specific gas. The method for measuring the heat production rate is low in cost, high in accuracy and suitable for measurement in a commercial production environment.

The invention discloses a self-adaptive production control system of a discrete workshop. The invention provides a discrete workshop self-adaptive production control system based on a control theory. The problem that an existing production control system is insufficient in adaptability in a dynamic and changeable workshop environment is solved. A traditional modeling method cannot effectively analyze dynamic behaviors of a system and is difficult to deal with transient changes caused by disturbance such as emergency order insertion and equipment faults. By introducing an event-driven mechanism and a multi-target coordination control strategy, dynamic optimization and self-adaptive control of a workshop production system are realized. According to the system, work-in-process and overstock tasks are used as control targets, and dynamic adjustment is achieved by controlling the order input rate and the actual productivity. And the control strategy planning layer and the workshop operation decision-making layer are linked by adopting a centralized event-driven mechanism, and meanwhile, a distributed event-driven mechanism is used in the workshop operation decision-making layer to construct an intelligent unit autonomous decision-making mechanism. The method is suitable for dynamic production control of discrete manufacturing workshops, overcomes the defects in the prior art, and meets the requirements of complex, dynamic and changeable workshop operation environments.

A star rating management method for deployment and implementation of gas field development wells first establishes the expression for estimating the gas well initial production rate and the dimensionless production curve; then determines the annual production of the new well for every year during the evaluation period and determines the internal rate of return of the new gas well. If the internal rate of return fails to meet the requirement, the deployment location and construction technology of the new well are re-optimized. Corresponding stars rating are determined according to the internal rate of return of the gas wells. The new well is drilled according to the deployment location that can meet the economic benefit requirements. After the gas well is drilled, a more detailed fracturing design is carried out, and the internal rate of return of the gas well and the star rating of development benefit are redetermined.

The invention provides a new tight oil fracturing transformation production prediction method based on modern yield decline analysis. The new tight oil fracturing transformation production prediction method based on the modern yield decline analysis comprises the steps that 1, the development condition of a fracture section is determined according to the geological characteristics of a reservoir, the reservoir fracturing transformation construction condition and microseism observation data; step 2, establishing a fracture physical model after pressure transformation; 3, establishing a matrix system mathematical model; 4, establishing a seepage mathematical model of the hydraulic fracturing system; 5, establishing a relation between the fracture conductivity and time, space and stress sensitivity; and step 6, carrying out model fitting and model solving. According to the new tight oil fracturing transformation production prediction method based on modern yield decline analysis, the influence of the space-time heterogeneity of the fractures on the production speed is considered, the method is suitable for modern yield decline analysis of the space-time heterogeneity of the fractures for tight reservoir fracturing transformation, and the fractures and reservoir parameters can be well explained.

The application discloses a kind of manufacturing system multi-objective decision-making method and system based on prediction model, belong to intelligent manufacturing resource layout and planning decision-making technical field, according to enterprise production demand, space restriction and market condition construction manufacturing system multi-objective optimization problem model;Optimization target includes maximizing productivity, minimizing machine total cost and minimizing buffer total capacity;According to manufacturing system actual product processing flow, add fault and repair attribute to machine node, construct manufacturing system generalized stochastic Petri net model;Topology enhanced random forest regression prediction model is constructed;Improved NSGA-II algorithm with embedded local enhancement strategy is used to solve the manufacturing system multi-objective optimization problem model, and the Pareto frontier is obtained;Using decision output device, decision-making is carried out in the Pareto frontier according to the current production demand of enterprise, space restriction and fund situation, and the manufacturing system resource allocation scheme satisfying the current production demand is output.

This invention relates to the field of oil and gas field development technology, specifically to a method for predicting the target decline time of a constant-volume closed gas well. The method comprises the following steps: Step 1: Setting the target production rate, the set known production time, and the gas production corresponding to the known production time; Step 2: Calculating the initial values ​​of the simulated bottomhole flowing pressure and the pressure conversion skin; Step 3: Setting the production time equal to the set known production time; Step 4: Iteratively calculating the wellhead gas production at time t+1; Step 5: Iteratively calculating the wellhead gas production at time t+1; Step 6: Calculating the target decline time. This invention establishes a method for predicting the target decline time of a gas well, employing an iterative solution approach to achieve the prediction of the target decline time. This addresses the practical needs faced during gas well production and is of great significance for gas field development.

The invention provides a workshop control system model based on a double-layer control loop. According to the model, control variables are constructed in a flow rate form, and the order input rate and the productivity are selected as the control variables of the system, that is, the release of orders and the production capacity of the system are continuously adjustable. For a certain manufacturing unit, the constraint of the manufacturing unit is mainly from two aspects. On one hand, the manufacturing units are influenced by internal factors of the manufacturing units and need to be adjusted according to real-time states of the manufacturing units; and on the other hand, the manufacturing units are globally controlled by the workshop system. When the two are combined to see the problem, a local-to-overall framework is formed. According to the workshop control system model based on the double-layer control loop, a double-feedback control structure is designed from the angle of a control theory. And the production capacity adjustment response rate and the stability of the inventory level of products in process are improved.

The invention relates to a method and device for evaluating final production information of a coal-bed gas well, and the method comprises the steps: determining a first function relation between the cumulative production time and the cumulative gas production according to the time sequence gas production data of a target coal-bed gas well, and enabling the relation to have unknown parameters to be solved; deformation conversion processing is conducted on the first function relation, a second function relation conforming to the linear relation is obtained, the independent variable is the accumulated production time, and the dependent variable is the variable related to the accumulated production time and the accumulated gas production rate; respectively and correspondingly taking the independent variable and the dependent variable as a horizontal coordinate and a vertical coordinate of a target data point, carrying out linear regression fitting on the target data point to obtain a fitting slope value and a fitting intercept value in a second function relational expression, and calculating the unknown constant; and the calculated unknown constant is substituted into the first function relational expression for calculation, and evaluation production information of the target coal-bed gas well is obtained. And the final production information can be effectively evaluated for various output stages and output curve types.

The invention discloses a digital management and tracking method for prefabricated outer wall production, and belongs to the technical field of constructional engineering, and the method comprises the steps: carrying out the information collection of the whole production process of each prefabricated outer wall, and obtaining production data; an RFID tag is installed on each prefabricated outer wall and used for recording corresponding production data; performing quality detection on the produced prefabricated outer wall, wherein the quality detection comprises size quality detection and mechanical property detection; the production data of the prefabricated outer wall are read in real time through the RFID tag, the production data are compared with a preset production plan, and the production progress of the prefabricated outer wall is tracked in real time; the quality qualification rate and the production rate of the prefabricated outer wall are periodically calculated and summarized to form a production evaluation coefficient; and the obtained production evaluation coefficient is compared with a preset evaluation threshold value, and if the obtained production evaluation coefficient is smaller than the evaluation threshold value, an alarm is given, and production operation parameters in prefabricated outer wall production in the period are optimized.

A method comprises the steps of selecting a group of wells; defining a production target rate for the group; allocating wells operated with gas lift to a first sub-group; allocating wells operated without gas lift to a second sub-group; setting a production target rate for the first sub-group and conducting gas lift parameter optimization for at least one well of the first sub-group to obtain the production target rate for the first sub-group, and transmitting control signals to wells of the first sub-group to operate the at least one well under condition of at least one optimized gas lift parameter; monitoring the production rate of the first sub-group, and setting a production target rate for the second sub-group to obtain the difference between the production target rate for the group and the production rate of the first sub-group, and transmitting adjustment signals to the wells of the second sub-group.

To plan a production schedule that improves productivity after performing on-demand control of a range to be an upper limit value or less of use power.SOLUTION: A demand control device includes an acquisition unit for acquiring power demand information related to variation of power demand scheduled to be used by equipment, product information related to the number of products scheduled to be produced and a deliver period, and equipment information related to equipment for performing each step of a job necessary to produce the product, an objective function setting unit for setting an objective function for minimizing an end time of the whole jobs by using the product information and the equipment information, a condition setting unit for setting a constraint condition necessary to solve the objective function by using the power demand information, the product information, and the equipment information, a planning unit for planning a production schedule of the product by solving the objective function after satisfying the constraint condition, and a power calculation unit for calculating use power along a time series in the product schedule planed by the planning unit by using the power demand information.SELECTED DRAWING: Figure 1

The invention discloses a quantitative characterization method, device and equipment for horizontal well section connectivity and a medium. The method comprises the steps that the target water injection rate of a target horizontal water injection well and the target liquid production rate of a target horizontal production well in an oil reservoir are collected; determining a target parameter; calculating a predicted liquid production rate of the target horizontal production well in the next time step after the preset period based on the target water injection rate and the target parameters; adjusting the target parameter based on the predicted liquid production rate and the target liquid production rate, and calculating to obtain a new predicted liquid production rate based on the target water injection rate and the adjusted target parameter until the predicted liquid production rate meeting the condition is obtained; and quantitatively representing the segmented connectivity between the target horizontal water injection well and the target horizontal production well by adopting a target connectivity coefficient in the target parameters corresponding to the predicted liquid production rate meeting the condition. According to the scheme, quantitative characterization of the sectional connectivity between the horizontal water injection well and the horizontal production well is achieved.

The application provides a novel motion control method of coke tank crane, comprising the following steps: S1, in the first time period T1, the standby position is empty tank descending, the hook is opened; S2, in the second time period T2, the full tank is lifted in the lifting tower; S3, in the third time period T3, the full tank is moved to the dry quenching furnace; S4, in the fourth time period T4, the full tank is descended in the dry quenching furnace, the gate is opened; S5, in the fifth time period T5, the coke is loaded; S6, in the sixth time period T6, the empty tank is lifted in the dry quenching furnace; S7, in the seventh time period T7, the empty tank is returned to the lifting tower; S8, in the eighth time period T8, the empty tank is descended in the lifting tower and is returned to the standby position; the application realizes the motion control principle of distinguishing the lifting and descending stage motion control and coke discharging through the frequency change and load change, shortens the operation cycle, improves the dry quenching coke production rate and has unique advantages.

The invention discloses a multi-variety processing group line productivity reliability prediction method based on a Markov reward process, and the method comprises the steps: recognizing a process path of each to-be-processed product and corresponding processing equipment at an offline stage according to an order task demand and the processing equipment in a multi-variety processing group line; the method comprises the following steps: estimating a fault rate and a repair rate of each device according to historical fault data to construct a Markov transfer rate matrix, generating a multi-dimensional reward rate vector through a production rate of each product under device combinations in different states, further constructing a multi-dimensional Markov reward process, and solving to obtain a probability generation function; in the online stage, according to the order target yield input by a user, multiple partial derivation and accumulation are performed on the probability generation function at a zero point, the joint completion probability that all varieties reach the standard at the same time in a production window is obtained, and the probability that a production line completes production tasks of all varieties on time in a given period is accurately calculated.

The invention relates to the technical field of metal material heat treatment, and provides a bearing steel grain uniformity optimization post-forging subsection cooling method, which comprises the following steps: carrying out a dynamic continuous cooling transformation test on a bearing steel sample through a thermal simulation test machine, and collecting a thermal expansion curve in a cooling process in the dynamic continuous cooling transformation test; the critical phase transition temperature of the bearing steel is determined by using a tangent method, so that the bearing steel is heated, forged and deformed. And cooling in a sectional manner, quickly cooling at a first-stage cooling rate, slowly cooling to a preset final temperature at a second-stage cooling rate, and naturally cooling to room temperature with air to obtain a finished bearing steel product. According to the method, the process parameters are cooled at multiple stages after bearing steel forging, the pearlite phase change process is accurately regulated and controlled, abnormal precipitation of secondary carbides is effectively inhibited, meanwhile, the hardness uniformity of the bearing steel is remarkably improved, the qualified mass production rate of the bearing steel is increased, the production cost is reduced, and key technical guarantee is provided for stable manufacturing of high-end large bearings.

The present invention provides a method, system and computer equipment for determining the resumption of work and production of an enterprise based on the electricity base, including: dividing the analyzed resumption of work and production day into multiple stages; determining the most similar historical days of the same period for each stage of the analyzed resumption of work and production day based on multi-dimensional influences; determining the electricity base for each stage based on the electricity consumption data of each stage and the most similar historical days of the same period corresponding to each stage; determining the resumption of work and production rate based on the actual electricity consumption of the analyzed resumption of work and production day and the electricity base, comprehensively considering the impact of multiple dimensions such as season, working days, weekends, holidays, weather and temperature on electricity consumption in different industries, and intelligently selecting the corresponding electricity base according to the characteristics of each time stage, thereby improving the accuracy of calculation of the resumption of work and production of the enterprise.

This application relates to a method, system, equipment, and medium for assessing adaptation and modification costs. The method identifies objects to be adapted through demand analysis and generates an object set. Based on adaptation point counting rules, the unadjusted scale is quantified, and after adjustment using demand change factors, the adapted scale is obtained. Subsequently, basic workload is calculated using productivity benchmark data, and the non-adapted construction workload is summarized to form the total basic workload. Then, the corrected workload is obtained through dynamic correction using preset adjustment factors. Finally, based on the corrected workload, labor costs, and allocation rules, the system calculates and summarizes various costs to arrive at the total cost. This process realizes a shift from subjective experience-based judgment to standardized assessment driven by rules and data, improving the objectivity, accuracy, and adaptability to project dynamics in cost assessment, and providing a reliable basis for budget control and resource allocation.

The invention belongs to the field of production optimization application of the oil and gas industry, particularly relates to a system determination method based on LightGBM and RIME algorithms, and aims to solve the problems that an existing system determination method is prone to errors and instability. The method comprises the following steps: acquiring production data of different production wells in different regions; dividing the preprocessed data of each production well into feature data and label data; based on the feature data and the label data, using a LightGBM algorithm to train an intermittent production yield prediction model of each production well; inputting different production systems into the intermittent production yield prediction model of each production well; taking theoretical daily gas production maximization as a single objective function, and using an RIME algorithm to optimize the optimal production system; the production system corresponding to the maximum theoretical daily gas production rate of each production well is the optimal production system of the well. The method for determining the optimal production system suitable for the intermittent well opening is customized.

This application provides a method, apparatus, equipment, storage medium, and program product for parameter determination in SAGD ultra-long horizontal well deployment, relating to the field of oil and gas extraction technology. The method includes: determining the target production rate of the production well based on reservoir parameters and the length of the horizontal section of the production well; determining the total number of inflow control devices to be configured in the horizontal section of the production well based on the target production rate; dividing the horizontal section of the production well into multiple well segments along its length based on a preset division rule; and determining the number of inflow control devices to be configured in each well segment based on the total number of inflow control devices and a preset allocation rule. The method of this application can determine the deployment of injection-production well pairs or single wells, and, when steam injection wells are present, determine the deployment information of pipelines and flow control devices. It also ensures uniform expansion of the steam chamber and uniform production profile along the horizontal section, solving the problems of reduced utilization and difficulty in increasing peak production of the production well due to the increased length of the horizontal section.

The invention relates to an intermittent production system optimization method, system, equipment and medium, and belongs to the technical field of oil reservoir exploitation, the intermittent production system optimization method considers transient characteristics and periodicity in the intermittent production process through analysis of gas well production characteristics, and one period is divided into accumulated liquid forming, liquid slug flowing out, liquid slug flowing out, liquid slug flowing out, liquid slug flowing out, liquid slug flowing out and liquid slug flowing out. The method comprises the following four flowing stages of gas well bottom pressure, gas-liquid eruption and liquid backflow, extracting sensitive parameters capable of reflecting each stage, establishing an intermittent production process transient mathematical model, predicting transient change rules of gas well bottom hole pressure, oil pressure, casing pressure, gas production rate, liquid production rate, gas well accumulative gas production rate, accumulative water production rate, casing gas inlet rate, oil pipe gas inlet rate, oil pipe liquid inlet rate and the like along with time, and calculating the transient change rules of the gas well bottom hole pressure, the oil pressure, the casing pressure, the gas production rate, the liquid production rate and the like. The intermittent production technology is optimized, and the yield of the intermittent gas well can be maximized.

The invention discloses a coordination and decision-making method for supply chain production batch and carbon emission under a low-carbon policy, and relates to the technical field of sustainable development. The method comprises the following steps: constructing a supply chain model under two low-carbon policy combination schemes, determining the constraint of a customer demand rate on the production rate of the supply chain model, constructing an expectation equation of product processing duration on the basis of product production batch, listing a carbon emission equation and a profit equation under the two low-carbon policy combination schemes, constructing a multi-objective optimization model containing constraint, and optimizing the product processing duration. Derivation is carried out by applying a convex optimization theory to find out an optimal solution under the two low-carbon policy combination schemes, different scenes are created by changing model parameters by applying a numerical simulation and sensitivity analysis method, and carbon emission and profit performance under each scene are compared and analyzed; according to the coordination and decision-making method for supply chain production batch and carbon emission under the low-carbon policy, the construction of a more efficient and more coordinated low-carbon policy framework is assisted.

The invention belongs to the technical field of production management, and provides a management method and a management system of a motor production system. The method comprises the steps of determining a target production link at the upstream of a production line based on first production parameters of a motor production system; acquiring second production parameters of the production equipment groups arranged in parallel in the target production link, and determining a maintenance sequence according to the second production parameters; and according to the overhaul sequence, the overhaul production equipment group is determined and subjected to shutdown overhaul, and the non-overhaul production equipment group is controlled to improve the production rate. According to the invention, when the maintenance production equipment group is shut down, the production rate of the non-maintenance equipment group is improved, equipment maintenance and quality control can be efficiently completed on the premise of not interrupting the whole production process, production stagnation caused by equipment faults is avoided, and the operation efficiency and stability of a motor production system are greatly improved.

It is possible to more efficiently make a factory plan configured to maximize a productivity index.Provided is a factory plan device including a calculation unit configured to specify a process and a production resource candidate based on a shape of a component of a target product by inputting past production performance data of a product, production volume data, design data of the product, specification data of a production resource, and layout data of a factory, and to calculate a process plan configured to determine order of the process and the production resource, a production plan configured to determine working date and time of the production resource, and a layout of the production resource so as to maximize a predetermined productivity index in the factory.