System and method for failure detection for artificial lift systems
US-9280517-B2 · Mar 8, 2016 · US
US9708899B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9708899-B2 |
| Application number | US-201214351519-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 12, 2012 |
| Priority date | Oct 20, 2011 |
| Publication date | Jul 18, 2017 |
| Grant date | Jul 18, 2017 |
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Apparatus and methods for controlling equipment to recover hydrocarbons from a reservoir including constructing a collection of reservoir models wherein each model represents a realization of the reservoir and comprises a subterranean formation measurement, estimating the measurement for the model collection, and controlling a device wherein the controlling comprises the measurement estimate wherein the constructing, estimating, and/or controlling includes a rolling flexible approach and/or a nearest neighbor approach.
Opening claim text (preview).
The invention claimed is: 1. A computer-based method for optimizing operation of at least one oilfield device that performs an operation carried out by instructions executing on a computer, on a hydrocarbon reservoir, the performed method operation comprising: for each given iteration t in a number of successive iterations over increasing time, performing a sequence of operations for the given iteration t that include: (i) using at least one optimal setting for the at least one oilfield device determined from all previous iterations up to t−1 as input to a plurality of reservoir model simulations to determine forecasted oilfield measurements for the hydrocarbon reservoir, wherein the plurality of reservoir model simulations of (i) use a plurality of reservoir models that represent uncertainty associated with the hydrocarbon reservoir, (ii) grouping the forecasted oilfield measurements into clusters, and (iii) using the clusters of forecasted oilfield measurements to configure a plurality of reservoir model simulations to determine at least one optimal setting for the at least one oilfield device for the given iteration t, wherein (a) the plurality of reservoir model simulations of (iii) use a plurality of reservoir models that represent uncertainty associated with the hydrocarbon reservoir and (b) the clusters of forecasted oilfield measurements are grouped in (ii) to correspond to a partition of a state space of the plurality of reservoir model simulations of (iii); and dynamically adjusting operation of the at least one oilfield device on the hydrocarbon reservoir to change at least one aspect of production of the hydrocarbon reservoir, wherein the dynamically adjusting uses the at least one optimal setting determined for the number of successive iterations to account for a reduction of uncertainty associated with the hydrocarbon reservoir over time. 2. The method of claim 1 , wherein the forecasted oilfield measurements comprise at least one of flow measurements, pressure measurements, well log measurements, fluid production measurements, well test measurements, electromagnetic survey measurements, gravity survey measurements, nuclear survey measurements, tilt meter survey measurements, and seismic survey measurements. 3. The method of claim 1 , wherein the at least one optimal setting for the at least one oilfield device is updated based on a flexible policy over the successive iterations. 4. The method of claim 1 , wherein the at least one optimal setting for the at least one oilfield device is updated based on a flexible policy over a subset of the successive iterations. 5. The method of claim 1 , wherein the at least one oilfield device is a valve. 6. The method of claim 1 , wherein the at least one oilfield device comprises a plurality of valves. 7. The method of claim 6 , wherein the plurality of valves are flow control valves. 8. The method of claim 7 , wherein the flow control valves control flow of hydrocarbons from the hydrocarbon reservoir. 9. The method of claim 1 , wherein the valuation of the hydrocarbon reservoir comprises payoff. 10. The method of claim 1 , wherein the at least one oilfield device is installed in a well. 11. The method of claim 1 , wherein the clusters of forecasted oilfield measurements are defined by equal-sized intervals. 12. The method of claim 1 , wherein the clusters of forecasted oilfield measurements are defined by unequal-sized intervals. 13. The method of claim 1 , wherein the configuration of the plurality of reservoir model simulations in (iii) is based on distances between different reservoir model simulation scenarios. 14. The method of claim 13 , wherein the distances between different reservoir model simulation scenarios is represented by an ordered table. 15. The method of claim 14 , wherein the ordered table includes multi-digit numbers that represent the different reservoir model simulation scenarios.
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