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The present invention relates to a method and system for determining multiphase fluid streams flowing from individual wells of a cluster of crude oil, gas and/or other fluid production wells, wherein the fluid streams produced by the individual wells are commingled and routed via a fluid separation

The present invention relates to a method and system for determining multiphase fluid streams flowing from individual wells of a cluster of crude oil, gas and/or other fluid production wells, wherein the fluid streams produced by the individual wells are commingled and routed via a fluid separation assembly into fluid outlet conduits for transportation of at least partly separated streams of crude oil, gas and/or other fluids.

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What is claimed is: 1. A method for determining multiphase fluid streams flowing from individual wells of a cluster of crude oil, gas or other fluid production wells, wherein the fluid streams produced by the individual wells are commingled and routed via a fluid separation assembly into fluid outl

What is claimed is: 1. A method for determining multiphase fluid streams flowing from individual wells of a cluster of crude oil, gas or other fluid production wells, wherein the fluid streams produced by the individual wells are commingled and routed via a fluid separation assembly into fluid outlet conduits for transportation of at least partly separated streams of crude oil, gas or other fluids; the method comprising: arranging a flowmeter at each fluid outlet conduit; producing oil or gas from the cluster of wells and monitoring a dynamic fluid flow pattern of the accumulated multiphase stream of well effluents produced by the cluster of wells by means of the flow meters; performing a series of well tests during which production from a tested well is varied and production from other wells is maintained substantially constant or interrupted; monitoring during each well test a dynamic fingerprint of the variation of the flow pattern of effluents produced by the tested well; assuming that an estimated dynamic flow pattern is an accumulation of said dynamic fingerprints that are multiplied by unknown weight coefficients; determining the unknown weight coefficients by iteratively varying each weight coefficient until the estimated dynamic fluid flow pattern substantially matches with the monitored dynamic fluid flow pattern; and using the determined weight coefficients to produce real-time estimates of the multiphase flux from at least one well. 2. The method of claim 1, wherein the cluster of wells comprises a number of n wells (i), such that i=1, 2, . . . n, and the method further comprises the steps of expressing the dynamic fingerprint for each well as i=i 1i, 2i . . . ), wherein i is the multiphase fluid flow pattern of well as monitored throughout the period of time (t) of the well test, and 1i 2i are the production variables of well that are determined during the well test; expressing the estimated dynamic fluid flow pattern as wherein γi is the unknown weight coefficient; (d) expressing the monitored fluid flow pattern as y(t)monitored; (e) comparing y(t)monitored with y(t)estimated and iteratively varying the weight coefficients γi until y(t)estimated substantially equals y(t)monitored. 3. The method according to claim 2, wherein a mathematical reconciliation process obtains the weight coefficients γi. 4. The method of claim 3, wherein the reconciliation process comprises the steps of: defining a function space S of the individual well productions yi(t) wherein S ⊂ X, X being a real inner product space; obtaining the header set consisting of all allowable linear combinations of the separate productions; obtaining the weight coefficients by evaluating an analytical expression for the best approximation to the total production from the header set. 5. The method of claim 2, wherein the estimated dynamic fluid flow pattern is cast in an algebraic structure of modules, giving a decomposition process in which weight coefficients are expressed as weight functions that model both the interrelationships between the wells and the surface and sub-surface relationship. 6. The method of claim 5, where the change from the test situation to the production situation gives starting sequences for production units. 7. The method of claim 5, wherein casting the estimated dynamics fluid flow pattern in terms of medium and long-term time scales, gives a method for forecasting, and a strategy to influence the Ultimate Recovery of crude oil and/or gas from a crude oil or gas field. 8. The method of claim 1, wherein during the well test the flow regime of the tested well is stepwise varied to monitor a static and a dynamic part of an operating envelope of the tested well and wherein said dynamic fingerprint is obtained from a well model which converts data from the static part of said envelope by a fuzzy curve fitting approach and which converts data from the dynamic linear part of said envelope by a sub-space identification approach. 9. A system for monitoring a multiphase fluid stream flowing from a cluster of crude oil, gas or other fluid production wells via a fluid separation assembly into a plurality of fluid outlet conduits for transportation of at least partly separated streams of crude oil, natural gas or other fluids; the system comprising: a flow meter for monitoring fluid flux in each fluid outlet conduit; means for storing a dynamic fluid flow pattern of the accumulated multiphase fluid stream produced by the cluster of wells as monitored by the flow meters; means for performing a series of well tests during which production from a tested well is varied and production from other wells is maintained substantially constant or interrupted; memory means for monitoring during each well test a dynamic fingerprint of the variation of production variables of the tested well; processor means which take into account that an accumulated fluid stream produced by the cluster of wells has a dynamic flow pattern which is an accumulation of said dynamic fingerprints that are multiplied by unknown weight coefficients; and processor means for determining the unknown weight coefficients by iteratively varying each weight coefficient until the assumed dynamic fluid flow pattern substantially matches with the monitored dynamic fluid flow pattern. 10. The system of claim 9, wherein the cluster of wells comprises a number of n wells (i), such that i=1, 2 . . . n, and the processor means carry out the steps of: expressing the dynamic fingerprint for each well as i=i1i, 2i . . . ), wherein i is the multiphase fluid flow pattern of well as monitored throughout the period of time (t) of the well test, and 1i 2i are the production variables of well that are determined during the well test; expressing the estimated dynamic fluid flow pattern as wherein γi is the unknown weight coefficient; expressing the monitored fluid flow pattern as y(t)monitored; comparing y(t)monitored with y(t)estimated and iteratively varying the weight coefficients γi until y(t)estimated substantially equals y(t)monitored. 11. The system according to claim 10, wherein a mathematical reconciliation process obtains the weight coefficients γi. 12. The system of claim 11, wherein the reconciliation process comprises the steps of: defining a function space S of the individual well productions yi(t) wherein S ⊂ X, X being a real inner product space; obtaining the header set consisting of all allowable linear combinations of the separate productions; obtaining the weight coefficients by evaluating an analytical expression for the best approximation to the total production from the header set. 13. The system of claim 11, wherein the estimated dynamic fluid flow pattern is cast in an algebraic structure of modules, giving a decomposition process in which weight coefficients are expressed as weight functions that model both the interrelationships between the wells and the surface and sub-surface relationship. 14. The system of claim 13, where the change from the test situation to the production situation gives starting sequences for production units. 15. The system of claim 13, wherein casting the estimated dynamics fluid flow pattern in terms of medium and long-term time scales, gives a method for forecasting, and a strategy to influence the Ultimate Recovery of crude oil and/or gas from a crude oil or gas field. 16. The system of claim 10, wherein during the well test the flow regime of the tested well is stepwise varied to monitor a static and a dynamic part of an operating envelope of the tested well and wherein said dynamic fingerprint is obtained from a well model which converts data from the static part of said envelope by a fuzzy curve fitting approach and which converts data from the dynamic linear part of said envelope by a sub-space identification approach.