131 results about "Production optimization" patented technology

Systems and methods for optimization of real time production operations. In one embodiment, a moving time horizon based parametric model provides fast predictions for production optimization in a short-term framework. In another embodiment, multiple technologies are selected in connection with asset performance workflows that are uniquely implemented in a multi-phase approach.

A method, system, and computer program product for performing oilfield surveillance operations. The oilfield has a subterranean formation with geological structures and reservoirs therein. The oilfield is divided into a plurality of patterns, with each pattern comprising a plurality of wells. Historical production/injection data is obtained for the plurality of wells. Two independent statistical treatments are performed to achieve a common objective of production optimization. In the first process, wells and/or patterns are characterized based on Heterogeneity Index results and personalities with the ultimate goal of field production optimization. In the second process, the history of the flood is divided into even time increments. At least two domains for each of the plurality of wells are determined. Each of the at least two domains are centered around each of the plurality wells. A first domain of the at least two domains has a first orientation. A second domain of the at least two domains has a second orientation. An Oil Processing Ratio is determined for each of the at least two domains, then an Oil Processing Ratio Strength Indicator is calculated. At least one Meta Pattern within the field is then identified. An oilfield operation can then be guided based either on the well and/or pattern personality or the at least one Meta Pattern.

An overall petroleum reservoir production optimization methodology permits the identification and remediation of unstimulated, under-stimulated, or simply poorly performing reservoir completed intervals in a multilayer commingled reservoir that can be recompleted using any of various recompletion methods (including but not limited to hydraulic fracturing, acidization, re-perforation, or drilling of one or more lateral drain holes) to improve the productivity of the well. This provides an excellent reservoir management tool and includes the overall analysis and remediation methodology that has been developed for commingled reservoirs. The specialized recompletion techniques can be used to improve the productivity of previously completed individual reservoir intervals in a commingled reservoir.

The invention discloses an oil deposit inter-well dynamic connectivity inverting method. The oil deposit inter-well dynamic connectivity is obtained by adopting oil deposit injection and withdrawal dynamic data inverting based on signal processing technology. Firstly a multiple regression model of oil deposit inter-well dynamic connectivity is established, a first order linear system convolver is built according to the transmission characteristic of injectivity signal in oil deposit, the convolver is applied to pre-treatment on the injectivity signal, genetic algorithm is induced into optimization solution of inverting model, systematic training is carried out on parameters to be optimized, and inverting is carried out to obtain connectivity factor representing oil deposit inter-well dynamic connectivity and time constant representing time delay and attenuation properties of the injectivity signal. The invention has strong practicability and high universality, is mainly used for evaluating oil deposit inter-well dynamic connectivity and further guides oil-field development scheme formation and production optimization.

A method and system for controlling a producing cycle in a well, during the production cycle, for optimizing production from the well including disrupting fluid in a wellbore with a pulse generator to create a pressure pulse transmitted through the fluid in the wellbore, detecting the pressure pulse created and the pressure pulse reflected from objects located within the wellbore, wherein the objects may include a liquid/gas interface and a producing apparatus such as a plunger, converting the detection of the pressure pulse and the reflected pressure pulses to a signal, computing the signals to determine the well status and controlling production of the fluid from the wellbore based on the well status.

The invention discloses an oil reservoir inter-well connectivity determination method based on data driving, and the method comprises the steps of firstly collecting related parameters of an oil fieldblock, obtaining a filtering coefficient of each injection signal, carrying out the preprocessing of injection and production data, and correcting the time lag and attenuation of the injection and production data; performing normalization processing on the injection-production data to form a standard sample set of neural network learning and training; building a neural network, using a conjugategradient algorithm as a learning algorithm, and achieving the rapid optimization solution of neural network model parameters; and performing parameter sensitivity analysis based on the trained neuralnetwork model to obtain a connection coefficient for representing the inter-well connectivity of the oil reservoir. The method is simple and convenient, is high in calculation efficiency, is used forevaluating the dynamic connectivity between oil reservoir wells, has a better yield prediction effect while having the same inter-well connectivity coefficient calculation precision of a traditional inter-well connectivity judgment method, and can further guide formulation of optimization measures such as profile control and water plugging and intelligent oil field layered injection and productionhistory fitting and production optimization.

The invention provides an oil deposit well pattern and injection-production scheme optimum design method based on a balanced water drive idea. The method comprises the steps of 1, collecting and arranging block geological and development related data; 2, setting optimizing related parameters, and completing the well pattern and injection-production optimization preparation work; 3, adopting an oildeposit engineering method, predicting the displacement condition on each direction under current well location and injection-production parameters and performing quantitative evaluation; 4, adoptinga global random search algorithm, optimizing and generating novel well location/injection-production parameters, and predicting and evaluating the displacement condition in each injection-productiondirection under novel well location injection-production parameters; 5, arranging the optimization result, forming a well pattern injection-production design scheme, and performing on-site implementation. According to the method, the water drive development index calculation method built on the basis of the oil deposit engineering idea is combined with the optimization theory, the global random search algorithm is adopted for automatic solving, the calculation efficiency is ensured while the well pattern and injection-production scheme matched with the actual oil deposit is obtained, and the oil deposit recovery efficiency is improved.

The invention discloses a business connection system between enterprises based on a cloud platform, comprising a cloud database server for storing all enterprise account basic data, an enterprise database server for storing business data of all enterprises, a cloud application server for visiting the cloud database server, the enterprises database server, providing corresponding business ports to the enterprises and performing processing on the businesses of all enterprises, and a client terminal for visiting the cloud data server and the corresponding enterprise database server to execute the business through the cloud application server according to the authorization conditions of all enterprises. The business connection system between enterprises based on cloud platform combines the business information of the upstream enterprises and the downstream enterprises with the production information and arranges the information into a net mode enterprise relation graph, which benefits the production optimization and cooperation optimization between the enterprises.

The invention provides an MOEA/D algorithm based aluminum electrolysis production optimization method. The method comprises: at first, modeling an aluminum electrolysis production process by utilizing a BP neural network; and then, optimizing a production process model by utilizing an MOEA/D algorithm to obtain a group of optimal solutions of decision variables as well as current efficiency, ton aluminum energy consumption and perfluoro-compound discharge amount corresponding to the optimal solutions, wherein the MOEA/D algorithm decomposes multi-target optimization into a plurality of single-target optimization sub-problems, and a core idea of the MOEA/D algorithm is that information of other sub-problems adjacent to one sub-problem is obtained and then cooperative optimization is performed, so that the optimization speed of multi-target optimization is greatly increased. The method determines an optimal value of process parameters in the aluminum electrolysis production process, effectively improves the current efficiency, reduces the greenhouse gas discharge amount, and truly achieves the purposes of energy conservation and discharge reduction.

The invention relates to the field of chemical engineering and provides a method for optimizing chemical intermittent production operation. The method comprises the steps of running state detection, production and detection data acquisition, comparison and judgment, operation parameter acquisition, operation parameter curing and the like. The invention further provides a chemical intermittent production operation system, a chemical production device, an intermittent production optimization system and a quality detection system. The intermittent production optimization system comprises a running state detection module, a data acquisition and storage module, a data query module, a data curing module and the like. The invention further provides an intermittent batch production control method for production control by taking a batch as a unit. After the original information islands, i.e., 'process operation data' and 'product quality inspection data', are organically combined based on a real-time database technology, the chemical intermittent production operation method is optimized, automatic reaction initiation is realized based on an optimum operation parameter, the product quality is guaranteed, and the production efficiency is improved.

The invention discloses an SMT central intelligent optimal management and monitoring system which comprises a production line balancing optimization module, a product quality monitoring module, a device fault monitoring module, an authority management module and a production data management module. The SMT central intelligent optimal management and monitoring system carries out production optimization, monitoring and management on an SMT production line through the production line balancing optimization module, the product quality monitoring module, the device fault monitoring module, the authority management module and the production data management module, and has the advantages of improving production efficiency and product quality, reducing manufacturing cost, comprehensively improving the automation level of the SMT production line and the like.

The invention relates to a production method of an oil deposit, in particular to an oil deposit development production optimization method and system based on a connectivity method. The method comprises the steps that saturation calculation is conducted by taking inter-shaft communication units as objects to establish a precise front edge tracking method to obtain oil-water dual-phase production dynamics of each layer at shafts; information of inter-shaft conductivity, flow splitting, water injection efficiency and the like is obtained by inverting connectivity model parameters though automatically fitting oil deposit historical dynamics, and the information is taken as the basis to perform layered dynamic production allocation and injection allocation automatic optimizing design on the oil deposit through iterative computation to reduce low-efficiency water drive direction flow and improve injection-exploitation conflict. Application examples show that the method can perform rapid computation, accurate saturation tracking and production dynamics computation, an obtained layered water injection scheme can well achieve a water reducing and oil increasing effect, 50,000 cubic metersof predicted oil increasing after actual optimization of the oil deposit is conducted is achieved, and a novel idea for performing real-time optimization on an oil field injection-exploitation schemeis provided.

A production method optimization method of an ammonia synthesizer which is based on the data mining technology belongs to a research frontier of the cross discipline field of chemical engineering, system engineering, and data mining and the like. The invention combines production characteristics of ammonia synthesizers, in accordance to parameter data and analytical measurement data of history production technology of the ammonia synthesizers which are gathered by the distributed control system, namely DCS, production and optimization target of the ammonia synthesizers and mathematical models between the relative technological parameters are established by utilizing the data mining technology. And real time data which are produced by the ammonia synthesizers are input in the mathematical models which are established, and production status of the ammonia synthesizers are assured by the models, and models establishing and maintenance, working order diagnosing, target predicting, and optimum operation guide of ammonia synthesizers are achieved. And the ammonia synthesizers are operated under optimum state, and production capability and control level of the device are improved. The method has the advantages of safety and reliability, small risk, low cost, and easy pauperization.

The present invention relates to a positron tomography imaging apparatus for a multiphase flow in an oil pipeline, which apparatus utilizes positron and electron annihilation generating a pair of coincidence gamma-rays of 511 keV energy as tomography imaging means and provides an on-line tomography imaging function for metering a multiphase flow in an oil pipeline of an oil field. The apparatus comprises a plurality of sets of parallel high-precision gamma-ray detector arrays with a particular space structure arrangement, a positron radioactive source and a shield, and can acquire a phase fraction of such multiphase flow mixture as oil, gas and water under a condition of a single radioactive source by combining an image processing function. The design of a plurality of sets of high-precision detector arrays also greatly improves accuracy of a multiphase flow metering and its applicability in multiphase flows of different flow patterns. The video information of fluid generated by it will significantly enrich oil, gas metering information for petroleum industry and provide basic data for a more effective reservoir management and production optimization.

A computer-implemented method is disclosed. The method includes producing optimized prices for products for sale.

A method for production optimization in an oil and/or a gas production system. The system including at least two flow sources leading to at least one common downstream flow line, and at least one manipulated variable of the production system. The method includes use of a computational model of the production system including an interdependence between flow rates of the flow sources and a flow rate of the downstream flow line, and values of the manipulated variable; a feasible set defined by at least one constraint of the manipulated variable, and an objective function, to be optimized within said feasible set, defined by using the computational model. The method includes splitting by calculation the feasible set into at least two subsets, calculating, for each of the subsets, a best bound of the objective function by using the computational model, and manipulating the manipulated variable by using the best bound to optimize the oil and/or gas production.

A method for enhancing productivity for an excavating machine is disclosed. The method includes determining at least one cycle characteristic for an operating cycle of the excavating machine. The method also includes measuring payload accumulated by the machine during a loading phase of an operating cycle of the excavating machine. The method further includes controlling payload accumulated by the machine based on at least one of the at least one determined cycle characteristics.

A method for controlling and optimizing production operations oil and/or gas production wells and facilities, which are equipped with sensors that generate raw reservoir, production and/or production equipment performance data comprises:

• • collecting raw data in at least a central data center;
  • processing, trends in the collected raw data to produce component data and system performance data;
  • transferring the component data to a regional asset operation control center;
  • transferring the system performance data to a regional total production optimization center, in which the system performance data and trends in the data are interpreted, analysed and converted into actionable total asset control data that are subsequently transferred to at least one regional control center; and
  • optimizing or controlling production of the operations by action taken in the regional asset operation control center on the basis of the component data and the actionable total asset control data.

The invention provides a comprehensive energy system tie line power control method, which comprises the following steps of: (1) establishing a comprehensive energy optimization scheduling model for dynamically coupling energy supply and production, and calculating to obtain a day-ahead energy production optimization plan and a tie line power plan reference value; (2) based on the real-time power balance equation of each energy subsystem in the comprehensive energy system, constructing a state space model of the comprehensive energy system participating in tie line power control; (3) equivalently converting the state space model of the tie line power control into a quadratic programming model, solving the model by adopting a sequential quadratic programming algorithm, and obtaining adjustable equipment power adjustment quantities of the current time period to the last T control time periods; and (4) issuing the power regulation quantity of the current time period to the first time period after the current time period, and sampling the real-time state of the comprehensive energy system for feedback correction. According to the invention, the tie line power of the integrated energy system is accurately controlled in a complex time-varying environment, and the tie line power of the integrated energy system is ensured to meet the examination of superior power grid departments.