System and method for remaining resource mapping
US-2015006083-A1 · Jan 1, 2015 · US
US2016177689A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016177689-A1 |
| Application number | US-201514832805-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 21, 2015 |
| Priority date | Aug 22, 2014 |
| Publication date | Jun 23, 2016 |
| Grant date | — |
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Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. For example, an embodiment of a computer implemented method of analyzing a flood operation on a hydrocarbon reservoir having heavy oil is provided. The embodiment includes, for a first injection well of the hydrocarbon reservoir: receiving injection rate data and production rate data, establishing a plurality of time windows based on breakthrough time of each production well that has broken through until the current date, and running capacitance resistance modeling for each established time window to generate interwell connectivities for each well pair. The embodiment further includes determining a value of injected fluid for the first injection well as a function of time in the future using a continuous function estimated interwell connectivity and an estimated oil-cut value.
Opening claim text (preview).
What is claimed is: 1 . A computer implemented method of analyzing a flood operation on a hydrocarbon reservoir having heavy oil, the method comprising: for a first injection well of the hydrocarbon reservoir: receiving injection rate data and production rate data for production wells communicating with the first injection well for a period of time; establishing a plurality of time windows based on breakthrough time of each production well that has broken through until the current date, wherein the production rate data is indicative of breakthrough; running capacitance resistance modeling for each established time window to generate interwell connectivities for each well pair; solving a continuous function for each well pair using the capacitance resistance modeling generated interwell connectivity of the well pair over time to estimate interwell connectivity for each well pair in the future; using the production rate data to solve an oil-cut model for each production well that has broken through to estimate oil-cut value for each production well in the future; and determining a value of injected fluid for the first injection well as a function of time in the future using the continuous function estimated interwell connectivity and the estimated oil-cut value. 2 . The method of claim 1 , further comprising: establishing at least one sliding scale time window between two established time windows; and running the capacitance resistance modeling for each established sliding time window to generate interwell connectivities for each well pair, wherein the generated interwell connectivities derived from the sliding time window are included in the solving of the continuous function. 3 . The method of claim 1 , wherein the continuous function is bell shaped, log-normal, betta, logistic curve, or any combination thereof. 4 . The method of claim 1 , further comprising comparing the generated average forecast value of injected fluid for the first injection well and a threshold to determine if the first injection well is a candidate for stimulation. 5 . The method of claim 1 , further comprising generating an average forecast value of injected fluid for at least one other injection well. 6 . The method of claim 5 , further comprising ranking the first injection well and the at least one other injection well based on the generated average forecast values of injected fluid. 7 . The method of claim 1 , wherein all of the productions wells communication with the first injection well have broken through. 8 . The method of claim 1 , wherein less than all of the productions wells communication with the first injection well have broken through. 9 . The method of claim 1 , wherein determining the value of injected fluid as a function of time for the first injection well includes using an equation, wherein the equation is: VOIF ( t ) = ∑ j N f ij ( t ) f oj ( t ) wherein f oj (t) is oil cut as a function of time and f ij (t) is interwell connectivity as a function of time. 10 . A computing system for analyzing a flood operation on a hydrocarbon reservoir having heavy oil, the system comprising: at least one processor; and at least one memory containing computer executable instructions, that when executed by the at least one processor, cause the computing system to perform a method comprising: for a first injection well of the hydrocarbon reservoir: receiving injection rate data and production rate data for production wells communicating with the first injection well for a period of time; establishing a plurality of time windows based on breakthrough time of each production well that has broken through until the current date, wherein the production rate data is indicative of breakthrough; running capacitance resistance modeling for each established time window to generate interwell connectivities for each well pair; solving a continuous function for each well pair using the capacitance resistance modeling generated interwell connectivity of the well pair over time to estimate interwell connectivity for each well pair in the future; using the production rate data to solve an oil-cut model for each production well that has broken through to estimate oil-cut value for each production well in the future; and determining a value of injected fluid for the first injection well as a function of time in the future using the continuous function estimated interwell connectivity and the estimated oil-cut value. 11 . The system of claim 10 , wherein the computer executable instructions are further configured to establish at least one sliding scale time window between two established time windows; and run the capacitance resistance modeling for each established sliding time window to generate interwell connectivities for each well pair, wherein the generated interwell connectivities derived from the sliding time window are included in the solving of the continuous function. 12 . The system of claim 10 , wherein the continuous function is bell shaped, log-normal, betta, logistic curve, or any combination thereof. 13 . The system of claim 10 , wherein the computer executable instructions are further configured to compare the generated average forecast value of injected fluid for the first injection well and a threshold to determine if the first injection well is a candidate for stimulation. 14 . The system of claim 10 , wherein the computer executable instructions are further configured to generate an average forecast value of injected fluid for at least one other injection well. 15 . The system of claim 14 , wherein the computer executable instructions are further configured rank to the first injection well and the at least one other injection well based on the generated average forecast values of injected fluid. 16 . The system of claim 10 , wherein all of the productions wells communication with the first injection well have broken through. 17 . The system of claim 10 , wherein less than all of the productions wells communication with the first injection well have broken through. 18 . The system of claim 10 , wherein determining the value of injected fluid as a function of time for the first injection well includes using an equation, wherein the equation is: VOIF ( t )
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