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:
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:
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:
Fremgangsmåte i et produksjonssystem for olje og/eller gass, som omfatter et antall olje- og/eller gassbrønner som hver produserer en multifasefluidstrøm, tilpasset for å prediktere endring i produserte fluider som følge av endring i manipulerte variabler. Tilpassede modellparametre som er uttrykk for forholdet mellom endringen av manipulerte variabler og de produserte fluidene blir bestemt ut fra et sett historiske produksjonsmålinger. Fremgangsmåten omfatter følgende trinn: a. valg av en modellstruktur som predikterer endring i produserte fluider som funksjon av endringen av manipulerte variabler, der den predikterte endringen i produserte fluider er avhengig av verdien av tilpassede modellparametre, b. bestemmelse av tilpassede modellparametre slik at predikteringer av produserte fluider tilsvarer nevnte historiske produksjonsmålinger så nært som mulig, c. bestemmelse av en kvalitetsmerkelapp som beskriver usikkerheten ved nevnte predikteringer av endring i produserte fluider. Oppfinnelsen omfatter også et system for produksjon av olje og/eller gass, samt et datamaskinprogram og et datamaskinprogramprodukt.
Abstract:
Den foreliggende oppfinnelsen angår en fremgangsmåte i et olje- og/eller gassproduksjonssystem som omfatter et antall olje- og/eller gassbrønner og midler innrettet for olje- og/eller gassparametertesting. Fremgangsmåten er innrettet for å sammenlikne et antall opsjoner relatert til olje- og/eller gassgjennomstrømningen i olje- og/eller gassproduksjonssystemet, og inkluderer trinnene: a) å trekke ut et antall parameterprøver fra en parameterfordeling; b) å generere, for hver parameterprøve, et ytelsesmål ved å bruke nevnte parameterprøve og en karakteriserer for hver av de nevnte opsjoner, og c) å generere et aggregert ytelsesmål for hver av de nevnte opsjoner ved å bruke nevnte ytelsesmål. Parameterfordelingen og genereringen av ytelsesmålet fremskaffes fortrinnsvis ved hjelp av en Monte Carlo-simulering ved å bruke historiske og/eller sanntidsmålte og/eller estimerte data fremskaffet fra olje- og/eller gassproduksjonssystemet. Nevnte data inkluderer fortrinnsvis minst oljestrømningsrate, gassstrømningsrate, vannstrømningsrate, væskestrømningsrate, gass-olje-forhold, vann-olje-forhold, trykk, temperatur, eller væskesammensetning, eller en hvilken som helst kombinasjon av disse. Søknaden er også rettet på et dataprogramprodukt.
Abstract:
Method in an oil and/or a gas production system including 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 includes the steps of 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, determining fitted model parameters so that predictions of produced fluids match said historical production measurements as closely as possible, and determining a quality tag that describes the uncertainty of the predictions of change in produced fluids.