Stimulated rock volume analysis
A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.
1. A method of optimizing the production scheme of a hydrocarbon-containing reservoir comprising:
a) collecting image log, microseismic, Distributed Temperature Sensing (DTS), Distributed Acoustic Sensing (DAS), and pressure data from at least one observation well in a hydrocarbon-containing reservoir to form a pre-stimulation data set;
b) while fracturing at least one well in a first fracture stimulation stage according to pre-determined fracturing parameters to form a set of fractures;
c) collecting image log, microseismic, Distributed Temperature Sensing (DTS), Distributed Acoustic Sensing (DAS), and pressure data from at least said observation well in the hydrocarbon-containing reservoir to form a strain response data set;
d) identifying said set of fractures formed in step b) from said strain response data set wherein said formation deformation is mechanically coupled with the strain rate during hydraulic fracturing and formation compression through stress shadowing;
e) characterizing the complexity of said set of fractures;
f) updating said pre-determined fracturing parameters based on said characterizing step; and,
g) performing a second fracturing stimulation stage using said updated fracturing parameters in step f).
2. The method of claim 1 , wherein said image log and/or microseismic data samples a stimulated reservoir volume (SRV).
3. The method of claim 1 , wherein said observation well is one or more adjacent producer wells.
4. The method of claim 1 , wherein said observation well collects data from one or more adjacent producer wells.
5. The method of claim 1 , wherein said characterizing step further includes modeling the stimulated reservoir volume (SRV) of said reservoir.
6. The method of claim 5 , further comprising repeating steps a) to f) of the method and updating the model of said SRV iteratively.
7. The method of claim 1 , wherein a relative extent of stimulated reservoir volume (SRV) is estimated from microseismic and cross well DAS fracture density spatially assigned through a statistical analysis of drill through data.
8. A non-transitory computer readable storage medium storing a computer program product for characterizing a hydraulic fracturing stimulation, said computer program product comprising:
a) integrated core data, image log data, microseismic data, Distributed Temperature Sensing (DTS) data, Distributed Acoustic Sensing (DAS) DATA, and pressure data from at least one observation well in a hydrocarbon-containing reservoir,
b) integrated core data, image log data, microseismic data, Distributed Temperature Sensing (DTS) data, Distributed Acoustic Sensing (DAS) DATA, and pressure data during fracturing of a reservoir to form a strain response data set,
c) computer code for estimating a stimulated reservoir volume (SRV) that is being fractured from the data in a) and b) wherein said computer code identifies said set of fractures formed in step b) from said strain response data set wherein formation deformation is mechanically coupled with a strain rate during hydraulic fracturing and formation compression through stress shadowing,
d) computer code for characterizing the complexity of said set of fractures;
e) computer code for modifying fracturing parameters from step a) based on said characterizing step; and,
f) computer code for performing a second fracturing stimulation using said modified fracturing parameters in step e).
9. The non-transitory computer readable storage medium storing a computer program product of claim 8 , wherein modifying said fracturing parameters improves hydrocarbon production.
10. The non-transitory computer readable storage medium storing a computer program product of claim 8 , wherein said image log or microseismic data samples a stimulated reservoir volume (SRV).
11. The non-transitory computer readable storage medium storing a computer program product of claim 8 , wherein said observation well is one or more adjacent producer wells.
12. The non-transitory computer readable storage medium storing a computer program product of claim 8 , wherein said Distributed Temperature Sensing (DTS) data, Distributed Acoustic Sensing (DAS) DATA, and pressure data are collected from one or more adjacent producer wells.
13. The non-transitory computer readable storage medium storing a computer program product of claim 8 , wherein said characterizing step further includes modeling the stimulated reservoir volume (SRV) of said reservoir.
14. The non-transitory computer readable storage medium storing a computer program product of claim 13 , further comprising repeating steps c) to e) and modifying the model of said SRV iteratively.
15. The non-transitory computer readable storage medium storing a computer program product of claim 8 , wherein a relative extent of stimulated reservoir volume (SRV) is estimated from microseismic and cross well DAS fracture density spatially assigned through a statistical analysis of drill through data.