11 results about "Reservoir storage" patented technology

The present application provides a kind of shale gas dessert evaluation method based on methane carbon isotope in tank top gas, the shale gas dessert evaluation method includes the following steps: (1) obtain the tank top gas sample of logging, measure the methane carbon isotope value in tank top gas sample by time period;(2) the data sequence of different time periods of methane carbon isotope value obtained in step (1) is curve fitting;(3) the curve obtained in step (2) is sequentially integrated and differentiated, form the model algorithm of the characteristics of shale reservoir storage and desorption gas volume;(4) according to the model algorithm obtained in step (3), the quality of shale gas reservoir is classified, and the dessert interval is divided out.The evaluation method provided by the present application solves the technical problem of shale gas reservoir site dessert identification under the condition of no geological coring and no geophysical logging, improves the shale gas dessert drilling rate and single well development efficiency, and clarifies the related technical principles and technical routes, reduces the exploration cost, and improves the customer acceptance.

This invention relates to the fields of reservoir scheduling, flood control and disaster reduction, and hydrological forecasting, and particularly to a method for calculating reservoir rainfall carrying capacity based on a dynamic runoff coefficient. The method includes the following steps: collecting data including the target reservoir's catchment area, characteristic water level, and water level-capacity relationship curves; establishing a dynamic equation for rainfall-runoff coefficient based on reservoir storage using the initial water level, characteristic water level, and storage capacity relationship curves; collecting and analyzing historical flood data for the target reservoir to generate parameter statistics tables for each flood event; establishing a dynamic equation for rainfall-runoff coefficient based on underlying surface conditions based on the parameter statistics tables for each flood event; and solving the dynamic equations based on reservoir storage and underlying surface conditions simultaneously. This invention relies on real-time water level and real-time rainfall to dynamically calculate reservoir rainfall carrying capacity, thus improving the accuracy of reservoir rainfall carrying capacity calculation.

The invention discloses a cascade reservoir joint compensation scheduling method considering flood sources and reservoir capacity levels, and belongs to the field of reservoir joint flood control scheduling. In order to solve the problems that a traditional scheduling strategy is poor in adaptability and a reservoir impounding role is fuzzy, the method is implemented through the following steps that the range of cascade reservoirs included in scheduling is determined, and engineering characteristic data such as flood control water levels and flood control high water levels are collected; calculating the amount of flood needing to be retained and stored based on the flood forecasting process of the downstream flood control point; a control reservoir and a matching reservoir are divided according to the hydraulic topological relation, the impounding capacity is distributed by combining the flood volume proportion of each reservoir and the remaining flood control reservoir capacity proportion, full-reservoir impounding distribution is completed through secondary distribution and recursion, the dispatching effect is checked, and the flow regulation and control factors are dynamically adjusted. The method is simple, practical, reasonable, reliable and capable of quickly adapting to different water regimes and work conditions, accurately positioning the reservoir retaining role, improving the overall flood retaining benefit of the cascade reservoir group, conforming to actual dispatching characteristics, being easy to popularize and providing scientific support for real-time dispatching decision of a reservoir operation management department.

The application discloses a long-term control method for cascade reservoirs based on long-series optimized scheduling sets, which comprises the following steps: establishing a restored data set, calculating reservoir storage influence, obtaining long-series restored inflow, performing optimized scheduling calculation according to the long-series restored inflow, and rolling determining the control water level and output of the cascade reservoirs according to the optimized scheduling scheme set; the application can obtain the long-term control water level and output plan of the cascade reservoirs, which has small scheduling risk, high multi-dimensional utilization target satisfaction degree, high reliability and conforms to the actual situation, and can be widely applied to production practice, especially the scheduling of large-scale cascade reservoir groups.

The application provides a method for determining a scheduling mode of reservoir flood control storage capacity released in stages at the end of flood season, and relates to the technical field of reservoir scheduling. The method comprises the following steps: collecting and arranging basic data, including hydrological and meteorological data, information of flood protection objects downstream, and data of reservoir scheduling parameters; determining a release time of reservoir flood control storage capacity based on multiple factor conditions; determining a release discrimination index of reservoir flood control storage capacity according to water level characteristics of a flood control station; carrying out risk analysis and risk atlas drawing of reservoir flood control storage capacity release; and determining a recommended flood control storage capacity release scheduling mode according to the flood control risk atlas. The application determines the release time of reservoir flood control storage capacity and the corresponding discrimination index by comprehensively considering multiple factor conditions, and draws a downstream flood control risk atlas on the basis of flood regulation calculation, and finally determines the recommended flood control storage capacity release scheduling mode in stages, which is of great significance for flood resource utilization at the end of flood season, improvement of reservoir storage guarantee rate, guarantee of downstream flood control safety and water safety.

This invention relates to the fields of water conservancy and hydropower construction and soil and water conservation, and discloses a ditch-type spoil heap, including a ditch, a spoil retaining dam, and an in-reservoir storage area. The spoil retaining dam is located downstream of the ditch, and the in-reservoir storage area includes a first storage area and a second storage area. The first storage area is located upstream of the spoil retaining dam and can be used for storing rocky spoil; the second storage area is located upstream of the first storage area and can be used for storing soil spoil. During spoil heaping, the upstream slope of the spoil retaining dam forms the first storage area for storing rocky spoil, and the upstream side of the first storage area forms the second storage area for storing soft clay spoil. This achieves large-capacity storage of soft clay, improves the space utilization rate of the spoil heap and the capacity for disposing of engineering spoil. By adopting a classified and zoned storage method, the risk of siltation and water environment deterioration downstream of the second storage area is reduced, thus controlling soil erosion at its source. This invention also provides a spoil heaping method.

This invention relates to the field of hydropower energy optimization technology, specifically to a method, system, equipment, and medium for predicting the power generation capacity of cascade hydropower in a river basin based on the concept of energy banks and multi-dimensional feature engineering. The method first clearly defines the cascade hydropower generation capacity applicable to market analysis, defining it as an optimization problem of maximizing power generation under consideration of reservoir storage, future inflow, and multiple engineering constraints. Secondly, it establishes multi-dimensional feature engineering from four levels to provide high-quality input for subsequent accurate prediction. Finally, it establishes a TQnet model to capture the complex multiple periodicities, long-range dependencies, and key influencing factors in the power generation capacity sequence, achieving accurate prediction.

The application relates to the technical field of reservoir management, and discloses a reservoir storage capacity calculation method, device, equipment and medium. The method comprises the following steps: obtaining digital elevation model data of a target reservoir, three-dimensional point cloud data of a region above a current water surface of the target reservoir, and spatial information below the current water surface; target three-dimensional elevation structure data in a target reservoir region range is calculated; first hydrological water quality parameter information of a section upstream of an inlet of the target reservoir and second hydrological water quality parameter information of an outlet are monitored; target reservoir current calibrated reservoir storage capacity information is calculated according to the target three-dimensional elevation structure data and water level height information of the outlet; a target reservoir bottom newly added silt volume quantity value is calculated according to the first and second hydrological water quality parameter information; and actual reservoir storage capacity information is calculated according to the reservoir storage capacity information and the target reservoir bottom newly added silt volume quantity value. The technical scheme significantly improves the scientificity and safety of reservoir operation management.

This disclosure relates to a method, apparatus, equipment, and medium for predicting hydrogen sulfide content in a sulfur-bearing gas reservoir. The method includes: dynamically transforming the initial gas reservoir parameters based on preset value ranges for various types of parameters in the initial gas reservoir parameters to generate multiple sets of gas reservoir parameters; performing periodic component numerical simulations on the multiple sets of gas reservoir parameters using a numerical simulation device to generate multiple hydrogen sulfide content variation parameters corresponding to each set of gas reservoir parameters; using the multiple sets of gas reservoir parameters and their corresponding multiple hydrogen sulfide content variation parameters as a data training set to generate a hydrogen sulfide content prediction model for the sulfur-bearing gas reservoir; inputting the gas reservoir parameters of the sulfur-bearing gas reservoir to be predicted into the hydrogen sulfide content prediction model to generate a hydrogen sulfide content prediction result. Thus, based on the hydrogen sulfide content prediction model, the hydrogen sulfide content in the gas reservoir can be predicted quickly and accurately, improving the prediction accuracy of hydrogen sulfide content in the gas reservoir.

This invention discloses a method and system for simulating the influence of magnetic field gradient on nuclear magnetic resonance (NMR) spectra, belonging to the field of oil and gas reservoir exploration and development technology. This method constructs original two-dimensional NMR spectra based on the components in the rock mass. T 1- T Two spectral models were developed and the expression for the NMR signal without magnetic field gradient interference was determined. A magnetic field gradient was then introduced into the NMR signal expression, and the two-dimensional NMR was analyzed. T 1- T The spectral model was forward modeled to obtain echo data under different magnetic field gradients; the echo data under different magnetic field gradients were then inverted to obtain two-dimensional nuclear magnetic resonance imaging (NMR) data under the influence of magnetic field gradients. T 1- T 2 spectra, combined with the original two-dimensional nuclear magnetic resonance. T 1- T A two-dimensional nuclear magnetic resonance (NMR) model is used to determine the response patterns of components and identify the components within the rock mass based on these patterns. This method analyzes the influence of magnetic field gradients on two-dimensional NMR spectra and identifies fluids within the rock mass based on the response patterns, enabling accurate evaluation of reservoir storage capacity and development potential.