Abstract:
The present invention relates to a method in an oil and/or a gas production system comprising a plurality of oil and/or gas wells and means adapted for oil and/or gas production parameter testing. The method is adapted to compare a plurality of options related to the oil and/or gas throughput in the oil and/or gas production system, and includes the steps of: a) drawing a plurality of parameter samples from a parameter distribution; b) generating, for each parameter sample, a performance measure by using said parameter sample and a characterizer for each of said options, and c) generating an aggregated performance measure for each of said options by using said performance measures. The parameter distribution and the generation of the performance measure are preferably obtained by a Monte Carlo simulation by using historical and/or online measured and/or estimated data obtained from the oil and/or gas production system. The said data preferably includes at least oil flow rate, gas flow rate, water flow rate, liquid flow rate, gas-oil ratio, water-oil ratio, pressure, temperature, or fluid composition, or any combination thereof.
Abstract:
Method in an oil and/or a gas production system comprising a plurality of oil and/or gas wells each producing a multiphase fluid stream, adapted for predicting change in produced fluids resulting from change in manipulated variables. Fitted model parameters which express the relationship between the change in manipulated variables and the produced fluids are determined from a set of historical production measurements. The method comprises the steps of: a. choosing a model structure which predicts change in produced fluids as a function of the change in manipulated variables, where the predicted change in produced fluids depends on the value of fitted model parameters; b. determining fitted model parameters so that predictions of produced fluids match said historical production measurements as closely as possible; c. determining a quality tag that describes the uncertainty of said predictions of change in produced fluids.
Abstract:
A method for production optimization in an oil and/or a gas production system comprising: at least two flow sources leading to at least one common downstream flow line, and at least one manipulated variable of the production system, wherein the method comprises use of: a computational model of the production system comprising an interdependence between flow rates of said 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 said computational model. The method comprises the steps of: - splitting by calculation said feasible set into at least two subsets, - calculating, for each of said subsets, a best bound of said objective function by using said computational model, and - manipulating said manipulated variable by using said best bound to optimise said oil and/or gas production.
Abstract:
The present invention relates to a method in an oil and/or a gas production system comprising a plurality of oil and/or gas wells and means adapted for oil and/or gas production parameter testing. The method is adapted to compare a plurality of options related to the oil and/or gas throughput in the oil and/or gas production system, and includes the steps of: a) drawing a plurality of parameter samples from a parameter distribution; b) generating, for each parameter sample, a performance measure by using said parameter sample and a characterizer for each of said options, and c) generating an aggregated performance measure for each of said options by using said performance measures. The parameter distribution and the generation of the performance measure are preferably obtained by a Monte Carlo simulation by using historical and/or online measured and/or estimated data obtained from the oil and/or gas production system. The said data preferably includes at least oil flow rate, gas flow rate, water flow rate, liquid flow rate, gas-oil ratio, water-oil ratio, pressure, temperature, or fluid composition, or any combination thereof.
Abstract:
Method in an oil and/or a gas production system comprising a plurality of oil and/or gas wells each producing a multiphase fluid stream, adapted for predicting change in produced fluids resulting from change in manipulated variables. Fitted model parameters which express the relationship between the change in manipulated variables and the produced fluids are determined from a set of historical production measurements. The method comprises the steps of: a. choosing a model structure which predicts change in produced fluids as a function of the change in manipulated variables, where the predicted change in produced fluids depends on the value of fitted model parameters; b. determining fitted model parameters so that predictions of produced fluids match said historical production measurements as closely as possible; c. determining a quality tag that describes the uncertainty of said predictions of change in produced fluids.
Abstract:
A method for production optimization in an oil and/or a gas production system comprising: at least two flow sources leading to at least one common downstream flow line, and at least one manipulated variable of the production system, wherein the method comprises use of: a computational model of the production system comprising an interdependence between flow rates of said 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 said computational model. The method comprises the steps of: - splitting by calculation said feasible set into at least two subsets, - calculating, for each of said subsets, a best bound of said objective function by using said computational model, and - manipulating said manipulated variable by using said best bound to optimise said oil and/or gas production.