8 results about "Reservoir management" patented technology

This invention relates to the field of reservoir engineering management technology, specifically a reservoir lifecycle management system based on spatiotemporal matrix and digital twin. The system includes a digital twin model construction module, a spatiotemporal matrix module, a data fusion module, a lifecycle simulation module, a real-time data acquisition and update module, a model dynamic adjustment module, and a management decision support module. The system uses a spatiotemporal matrix to uniformly organize and manage multi-source data throughout the reservoir's lifecycle, utilizes a digital twin model to construct a virtual representation of the reservoir, achieves bidirectional synchronization through data fusion, and dynamically adjusts model parameters based on real-time data, ultimately generating lifecycle management decision outputs. This invention solves the problems of scattered data and static models in existing technologies, improving the accuracy and reliability of reservoir management.

The embodiment of the invention provides a thin interlayer and phase control physical property cause sand body configuration model construction method and system, and belongs to the technical field of reservoir modeling. The method comprises the following steps: identifying fluvial facies reservoir distribution characteristics based on exploration data, and constructing a corresponding cause sand body reservoir configuration model; obtaining a corresponding small-layer sand body deterministic model based on the cause sand body reservoir configuration model; on the basis of the deterministic model of the small-layer sand body, performing representation of an internal configuration interface of the sand body based on a lateral lamination model and an adaptive triangular mesh generation algorithm; and generating a distribution model of each lithofacies unit based on representation of a configuration interface in the sand body, and constructing a physical property model for fine modeling and heterogeneity description of high and low permeability sections in the configuration based on a phase control stochastic simulation method. According to the scheme, the limitations of insufficient precision, unreasonable transition and low calculation efficiency in traditional modeling are effectively overcome, and high-precision geologic model support is provided for reservoir management and oil reservoir development.

The application discloses a kind of reservoir water resource optimal allocation method based on multi-stage multi-objective belonging to water resource management technical field, comprising the following steps: A, predict the water resource demand, water resource available quantity, social economy and other basic data in basin;B, with the maximum unit water resource utilization benefit as target, with reservoir water balance, irrigation and power generation water demand, salinity leaching and so on as constraint condition, construct water resource optimal allocation model;C, coupling fixed combination stochastic programming and fractional programming method is solved to model, according to the water resource shortage obtained under different probability level arrangement production to reach maximum unit allocation water benefit.The application fully considers the necessity of joint management of upstream hydropower generation and downstream agricultural irrigation in reservoir management system, reasonably allocates water resources, land resources and energy in the basin, obtains the maximum unit allocation water benefit, so as to relieve water contradiction and improve the utilization efficiency of resources.

This invention discloses a method for assessing the safety risk level of a reservoir dam, specifically relating to the field of reservoir dam risk assessment technology. It involves acquiring real-time stress data of the reservoir dam, spillway discharge capacity data, and reservoir water level change data, extracting and predicting abnormal features from these data, and generating relevant outliers. A fuzzy comprehensive evaluation method is used to perform weighted analysis on multiple risk factors to calculate the dam's comprehensive risk score. The comprehensive risk score is compared with a risk level classification threshold to determine the reservoir dam's safety risk level. Based on the assessment results, corresponding early warning information and emergency response measures are output to ensure the safe operation of the reservoir dam. This method can monitor the safety status of the reservoir dam in real time, provide timely early warning of potential risks, and offer scientific decision support for reservoir management personnel.

The present disclosure relates to a computer-implemented method (100) for oil rig move operations, comprising: obtaining reservoir management data (110), obtaining real-time drilling data (120), estimating, using a trained artificial intelligence (Al) release date estimation engine, a release date of the oil rig based on the reservoir management data and the real-time drilling data (130), and allocating at least one resource for the oil rig move operation based on the estimated release data (140). In addition, the present disclosure relates to a corresponding system and computer program.

This invention discloses a digital twin modeling method for a reservoir intelligent scheduling decision support system, belonging to the field of decision modeling technology. A multi-source data fusion module integrates data from multiple sources such as satellites and UAVs, improving data quality through cleaning and spatiotemporal alignment. A physical mechanism modeling module constructs hydrodynamic and joint scheduling models to ensure simulation accuracy. A data-driven modeling module uses LSTM, graph convolutional networks, and other techniques to predict hydrological and equipment status. A twin mapping and interaction module establishes a bidirectional mapping to achieve virtual-real interaction. A decision support module provides scientific decision-making solutions based on multi-objective optimization algorithms. All modules work together to improve the intelligence level of reservoir scheduling. This invention extends the flood forecast lead time and reduces errors; optimizes multi-objective scheduling to improve the comprehensive benefits of water resources; achieves precise synchronization between the digital twin model and the physical entity, enhancing dam safety monitoring capabilities; provides intelligent decision support, shortens response time, and promotes the transformation of reservoir management towards intelligence and efficiency.

This invention provides a reservoir-wellbore coupled numerical simulation method, apparatus, equipment, and medium, belonging to the field of reservoir numerical simulation technology. The method includes: acquiring the current wellbore-reservoir contact surface temperature, reservoir fluid pressure, and mole fraction of each phase; and calling a multiphase, multicomponent flow model for an ultra-deep wellbore and an ultra-deep fault-controlled oil and gas reservoir. First, the relevant data are input into the reservoir model for solution to obtain the parameters corresponding to the next time step. Then, some parameters are input into the wellbore model to obtain the pressure within the wellbore. If the pressure difference between the reservoir fluid pressure and the pressure within the wellbore is less than a preset threshold, the pressure within the wellbore at the next time step is output. This invention significantly improves the prediction accuracy of pressure within the wellbore by coupling the wellbore and reservoir models, enabling optimization of reservoir production plans and effective guidance for reservoir management, thereby improving recovery rate and economic benefits.

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.