Methods for time-delayed fracturing in hydrocarbon formations
US-2016003020-A1 · Jan 7, 2016 · US
US10480289B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10480289-B2 |
| Application number | US-201514865447-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 25, 2015 |
| Priority date | Sep 26, 2014 |
| Publication date | Nov 19, 2019 |
| Grant date | Nov 19, 2019 |
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Methods and systems for generating a fracturability index for use in identifying fracture locations and propagation in subterranean formations. A well path can be divided into a plurality of segments and the order of fracture locations along the path can be identified. Such an order is based on an optimal fracture stage from a production point of view followed by subsequent fracture stages. The above steps or operations can be repeated with respect to additional paths to generate data for use in determining prioritized segments and identifying fracture locations and propagation in subterranean formations. Such data can be compiled in the context of a fracturability index map.
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What is claimed is: 1. A method of fracturing a reservoir by generating a fracturability index for use in identifying fracture locations and propagation in a subterranean formation in said reservoir for said fracturing of said reservoir, said method comprising: dividing a path into a plurality of segments; identifying an order of fracture locations along the path including said plurality of segments, said order of fracture locations based on a fracture stage of a fracturing operation followed by subsequent fracture stages in said fracturing operation; repeating said dividing and identifying steps with respect to additional paths so as to generate said fracturability index comprising data for use in determining prioritized segments among said plurality of segments and identifying said fracture locations and propagation in said subterranean formation and wherein said fracturability index is used to identify at least one sweet spot in said subterranean formation, said fracturability index including ellipsoids of fracture domains, staggered features, minimum fracture spacing, minimum well spacing and overlapping features; and fracturing said reservoir based on said data contained in said fracturability index, said prioritized segments, said fracture locations and said propagation in said subterranean formation with respect to said reservoir, wherein said fracturing operation includes said fracturing and said fracturing is performed based on a formulation that includes the following parameters: a number of fractures contained in said data in said fracturability index, fracture dimensions contained in said in said fracturability index, said fracture locations, and fracture scheduling associated with said fracturing operation. 2. The method of claim 1 wherein said path comprises a well path and wherein said fracturability index is used to prioritize brittle and high in-situ stress zones along said well path. 3. The method of claim 2 further comprising compiling said data into a fracturability index map based on said fracturability index wherein said fracturability index is further used to suggest an order of potential fracture locations for future resource development in a single well or a plurality of wells FI=Σ k ( 1 if the segement brittle 0 if the segement not brittle ). 4. The method of claim 1 wherein said subterranean formation comprises a shale gas reservoir. 5. The method of claim 1 further comprising compiling said data as geochemical data populated in a 3D reservoir model and as TOC (Total Organic Carbon) data in a TOC map. 6. The method of claim 5 further comprising compiling said data into a geomechanical data map based on geomechanics, said geomechanical data including geochemical data indicative of quartz and clays and wherein said 3D reservoir model provides data indicative of brittle locations in said 3D reservoir model. 7. The method of claim 2 further comprising compiling said data as TOC (Total Organic Carbon) data populated in a TOC map, permeability data populated in a permeability map, and porosity data populated in a porosity map. 8. The method of claim 2 further comprising compiling said data into a geomechanical data map based on geomechanics. 9. The method of claim 1 further comprising identifying said path via a sensor. 10. A system for fracturing a reservoir by generating a fracturability index for use in identifying fracture locations and propagation in a subterranean formation in said reservoir, said system comprising: one or more processors; and memory comprising instructions stored therein, which when executed by said one or more processors, cause said one or more processors to perform one or more operations comprising: dividing a path into a plurality of segments; identifying an order of fracture locations along said path including said plurality of segments, said order of fracture locations based on a fracture stage of a fracturing operation followed by subsequent fracture stages of said fracturing operation; repeating said dividing and identifying steps with respect to additional paths so as to generate said fracturability index comprising data for use in determining prioritized segments and identifying said fracture locations and propagation in said subterranean formation and wherein said fracturability index facilitates determining at least one sweet spot in said subterranean formation, said fracturability index including ellipsoids of fracture domains, staggered features, minimum fracture spacing, minimum well spacing and overlapping features; and wherein said system is utilized to facilitate fracturing of said reservoir based on said data contained in said fracturability index, said prioritized segments, said fracture locations and said propagation in said subterranean formation with respect to said reservoir, wherein said fracturing is performed based on a formulation that includes the following parameters: a number of fractures contained in said data in fracturability index, fracture dimensions contained in said data in fracturability index, said fracture locations, and fracture scheduling associated with said fracturing. 11. The system of claim 10 wherein said path comprises a well path and wherein said fracturability index is used to prioritize brittle and high in-situ stress zones along said well path. 12. The system of claim 11 wherein said one or more operations further comprises compiling said data into a fracturability index map based on said fracturability index wherein said fracturability index is further used to suggest an order of potential fracture locations for future resource development in a single well or a plurality of wells FI=Σ k ( 1 if the segement brittle 0 if the segement not brittle ). 13. The system of claim 10 wherein said subterranean formation comprises a shale gas reservoir. 14. The system of claim 10 wherein said one or more operations further comprises compiling said data as geochemical data populated in a 3D reservoir model and said data as TOC (Total Organic Carbon) data populated in a TOC map, permeability data populated in a permeability map, and porosity data populated in a porosity map. 15. The system of claim 14 wherein said one or more operations further comprises compiling said data into a geomechanical data map based on geomechanics, said geomechanical data including geochemical data indicative of quartz and clays and wherein said 3D reservoir model provides data indicative of brittle locations in said 3D reservoir model. 16. The system of claim 10 further comprising a sensor for identifying said path, wherein said sensor communicates electronically with said one or more processors and/or said memory. 17. The system of claim 11 wherein said one or more operations further comprises compiling said data as TOC (Total Organic Carbon) data populated in a TOC map, permeability data populated in a permeability map, porosity data populated in a porosity map, and maturation data populated in maturation map, wherein said compiled data facilitates a determination of said at least one sweet spot. 18. The system of claim 11 wherein said one or more operations further comprises compiling said data into a geomechanical data map based on geomechanics. 19. The system of claim 11 further comprising a sensor for identifying said path, wherein said sensor communicates electronically with said one or more processors and/or said memory.
Specific pattern of wells, e.g. optimising the spacing of wells · CPC title
Equipment or details not covered by groups E21B15/00 - E21B40/00 · CPC title
by forming crevices or fractures · CPC title
using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD] · CPC title
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