33 results about "Reservoir optimization" patented technology

A method of managing a fluid or gas reservoir is disclosed which assimilates diverse data having different acquisition time scales and spatial scales of coverage for iteratively producing a reservoir development plan that is used for optimizing an overall performance of a reservoir. The method includes: (a) generating an initial reservoir characterization, (b) from the initial reservoir characterization, generating an initial reservoir development plan, (c) when the reservoir development plan is generated, incrementally advancing and generating a capital spending program, (d) when the capital spending program is generated, monitoring a performance of the reservoir by acquiring high rate monitor data from a first set of data measurements taken in the reservoir and using the high rate monitor data to perform well-regional and field-reservoir evaluations, (e) further monitoring the performance of the reservoir by acquiring low rate monitor data from a second set of data measurements taken in the reservoir, (f) assimilating together the high rate monitor data and the low rate monitor data, (g) from the high rate monitor data and the low rate monitor data, determining when it is necessary to update the initial reservoir development plan to produce a newly updated reservoir development plan, (h) when necessary, updating the initial reservoir development plan to produce the newly updated reservoir development plan, and (i) when the newly updated reservoir development plan is produced, repeating steps (c) through (h). A detailed disclosure is provided herein relating to the step (a) for generating the initial reservoir characterization and the step (b) for generating the initial reservoir development plan.

A system and method is taught to substantially automate forecasting for a hydrocarbon producing reservoir through integration of modeling module workflows. A control management module automatically generates static and dynamic offspring models, with static and dynamic modeling software, until a performance objective associated with the forecasting of the reservoir is satisfied. The performance objective can include an experimental design table to determine a sensitivity of a particular parameter or can be directed towards reservoir optimization, i.e., ultimate hydrocarbon recovery, net present value, reservoir percentage yield, reservoir fluid flow rate, or history matching error.

The invention discloses a method drawing up a multi-goal reservoir optimization scheduling graph capable of being self-adaptive to climate change. The method for drawing up the multi-goal reservoir optimization scheduling graph comprises the steps of: step 1. establishing a coupling model of a global climate model (GCM) and a variable infiltration capacity (VIC) hydrological model so as to forecast a run-off process under a future climate change scene; step two. establishing a multi-goal reservoir optimization scheduling graph model; and step 3. taking the forecast run-off process data under the future climate change scene as the input of the optimization scheduling graph model, and drawing up the multi-goal optimization scheduling graph model by adapting a self-adaptive genetic algorithm. The method for drawing up the multi-goal reservoir optimization scheduling graph has the advantages of balancing the social economy goal and ecological goal of reservoir scheduling, improving the comprehensive benefits of reservoir scheduling to the maximum degree on the condition of ensuring the flood control safety of a reservoir and being capable of being self-adaptive to future climate change and being widely applied to the production practice of multi-goal reservoir optimization scheduling.

The invention belongs to a method for recognizing oil and gas reservoirs in oil exploration and development and particularly relates to a method for fast recognizing a low-resistivity zone through optimizing drilling mud to determine oil content. The method includes optimizing drilling mud parameters according to drilling coring materials in a zone to be detected and earth's surface physical materials, establishing evaluation to form a drilling mud resistivity model of the low-resistivity zone; and detecting the drilling mud resistivity value of the zone to be detected and recognizing the process of the low-resistivity oil and gas reservoirs through combining the model, wherein Rmf>KRw in the drilling mud resistivity model. By means of the method, the recognition rate of the low-resistivity oil and gas reservoirs can be improved, therefore the exploitation rate of the low-resistivity oil and gas reservoirs can be improved, and exploratory and development costs can be reduced.

The invention belongs to the field of reservoir optimization dispatching, and discloses an electricity generation dispatching method of hierarchical control of reservoir water-storage-period runoff in a case of random water incoming. Firstly, the water-storage-period reservoir-inflow runoff is divided into two stages of a facing time period and the long remaining-period time period, historical reservoir-inflow runoff data of a reservoir for many years is analyzed, and a transition probability matrix between the current runoff of each time period of a water storage period and the average runoff of the long remaining-period time period is obtained by statistics; then a reservoir operation water level and reservoir-inflow flow of each time period of the water storage period are dispersed to obtain combinations of the water level and the reservoir-inflow flow of each time period of the reservoir; and for each combination, various random average inflow value probabilities of the long remaining-period time period are obtained according to the transition probability matrix, a decision flow value enabling an expected electricity generation capacity value of the current time period and the long remaining-period time period to be greatest is calculated and obtained, and a hierarchical control table of the runoff is compiled and obtained by combining after calculation for all the time periods of the water storage period is completed. The method of the invention can improve the water amount utilization rate and the electricity generation capacity of the water storage period of the reservoir in a case of considering the randomness of water incoming of the future time period.

The invention discloses a wind and solar energy storage optimal operation method. An inference rule set between working conditions and the optimal unit commitment is obtained by mining unit operation historical data, and the rule set is stored in a database; factors such as load changes are considered, the variable weight coefficient of a potential target unit configuration mode is calculated in a variable weight synthesizing mode of a balance function, and the optimal wind and solar energy storage unit configuration mode is selected by combining an existing comprehensive performance evaluation method. The wind and solar energy storage optimal operation method is more objective and accurate; meanwhile, unit configuration of wind and solar energy storage can be regulated in real time, wind and solar energy storage is made to work in the optimal state in real time, and therefore the working efficiency of wind and solar energy storage is improved effectively.

The present invention belongs to the technical field of optimal dispatching of reservoirs, and in particular relates to a method for multi-objective optimal dispatching of reservoirs based on the cooperative game method, comprising the following steps: Step 1, using the flow duration curve improved month by month to calculate the environmental water demand of the downstream channel of the reservoir Process; step 2, establish a single-person game model for water resources management subjects, and pursue the maximization of the public interests of power generation and the environment; step 3, establish a multi-objective cooperative game model for water resources management subjects, and pursue the combination of collective interests and personal interests . The present invention proposes a game idea based on cooperation, explores the possibility of cooperation among water users, and constructs a multi-objective scheduling model of the reservoir to provide a certain theoretical basis for the unified management and protection of water resources, and realize the multi-objective of the reservoir in the overall Benefits are optimized on the basis of taking into account individual interests.

The invention relates to the technical field of optimal dispatching of reservoirs, in particular to an automatic correction system for inflow flow of cascaded reservoirs. It includes a historical data module, an interval control value analysis module, a data server, a real-time water module, and a correction module. The historical data module is used to store through the data server according to the water information entered into the intervals of each power station in cascade reservoirs over the years; the interval The control value analysis module is used to retrieve the information in the data server and analyze and calculate the control value; the water real-time module is used to calculate the water information of each power station interval according to the input of the cascade reservoir on the same day and store it through the data server; The correction module is used to correct the inbound flow. The automatic correction system for the inflow flow of cascade reservoirs of the present invention can effectively correct the inflow flow of the reservoir, and has the effect of automatic correction and reduces manual operations.

The invention discloses a reservoir scheduling forecast information effective precision identification method based on data mining. The reservoir scheduling forecast information effective precision identification method comprises steps of adopting a dynamic planning method to obtain an optimal scheduling locus of the reservoir, performing disturbance on forecast information according to a given error level to generate forecast information according with the given error level, adopting a random forest method to establish a mapping relation between the reservoir optimal scheduling locus and a decision variety and forecast information, which is a random forest decision three; counting the related decision variety according to the random forest decision three; and gradually increasing an error level and repeating the above-mentioned steps, wherein a previous error level is an effective precision when forecast information does not exist in the obtained related decision variety. The invention can effectively identify effective forecast precision beneficial for reservoir optimization scheduling, can fully excavate useful forecast information and provides a reference basis which is more simple and strong in operability to the reservoir scientific decision.

The invention provides a decision-making method and device for reservoir optimization and dispatching oriented to the stability of an aquatic community system. The method includes: step 1. Determine a research scenario, collect basic data of the reservoir group system, historical dispatch data, hydrological data and biomass data of downstream stations, and determine the reservoir. Influencing factors and decision variables of dispatching behavior; Step 2. Consider the interaction between multiple populations, and build a random multi-population dynamic model; Step 3. Calculate the hydrological variability, and describe the disturbance of the hydrological variability to the aquatic community through the noise intensity. ‑Ecology” relationship, to analyze the stability of the aquatic community system under the influence of hydrological variability; Step 4. Use two ecological indicators, the steady-state time ST and the coefficient of variation CVST at the steady-state time, to identify the resilience and resistance of the multi-population system, respectively. Step 5. Comprehensively consider the reservoir water supply, power generation goals, and ST, CVST ecological goals, optimize the reservoir operation curve, and obtain the reservoir optimization scheduling decision.

The present invention discloses a multi-year regulating storage reservoir optimal scheduling method considering runoff uncertainty. The method comprises the following steps of: (1) analyzing historical reservoir runoff data; (2) establishing a runoff random simulation model, and generating a reservoir simulation annual runoff sequence; (3) simulating annual inflow runoff sequence classification and performing intra-annual distribution to obtain a three-year inflow runoff process sequence on a month scale; (4) establishing a multi-year regulating storage reservoir optimal scheduling model that considers multiple water demands; and (5) reducing dimension by using an optimization algorithm and optimizing a resolution model so as to obtain an optimal discharging and water supply decision. According to the method provided by the present invention, the scheduling with maximized comprehensive benefits of long-term multi-target operation can be performed on a multi-year regulating storage reservoir by considering runoff uncertainty, so that the method is suitable for promotion in long-term optimal scheduling of the multi-year regulating storage reservoir in China.