Low frequency distributed acoustic sensing hydraulic fracture geometry
Monitoring and diagnosing completion during hydraulic fracturing operations provides insights into the fracture geometry, inter-well frac hits and connectivity. Conventional monitoring methods (microseismic, borehole gauges, tracers, etc.) can provide a range of information about the stimulated rock volume but may often be limited in detail or clouded by uncertainty. Utilization of DAS as a fracture monitoring tool is growing, however most of the applications have been limited to acoustic frequency bands of the DAS recorded signal. In this paper, we demonstrate some examples of using the low-frequency band of Distributed Acoustic Sensing (DAS) signal to constrain hydraulic fracture geometry. DAS data were acquired in both offset horizontal and vertical monitor wells. In horizontal wells, DAS data records formation strain perturbation due to fracture propagation. Events like fracture opening and closing, stress shadow creation and relaxation, ball seat and plug isolation can be clearly identified. In vertical wells, DAS response agrees well with co-located pressure and temperature gauges, and illuminates the vertical extent of hydraulic fractures. DAS data in the low-frequency band is a powerful attribute to monitor small strain and temperature perturbation in or near the monitor wells. With different fibered monitor well design, the far-field fracture length, height, width, and density can be accurately measured using cross-well DAS observations.
1. A method of developing a hydrocarbon reservoir comprising:
a) providing a hydrocarbon reservoir comprising at least one operation well, at least one horizontal monitor well, and at least one vertical monitor well,
wherein at least one horizontal monitor well comprises a distributed acoustic sensing (DAS) fiber, and at least one vertical monitor well comprises a DAS fiber;
b) monitoring a DAS signal while fracturing said operation well in a fracture stimulation to form a set of fractures;
c) processing the DAS signal to model fracture properties in the hydrocarbon reservoir
wherein the DAS signal is down-sampled to 1 s after a low-pass anti-aliasing filter (0-0.5 Hz) to obtain Low-Frequency DAS data;
d) determining the length, density, width, and height of said fractures; and
e) improving stimulated reservoir volume in said hydrocarbon reservoir.
2. The method of claim 1 , wherein said DAS fiber is a permanently installed DAS fiber or a temporary drop-in DAS fiber.
3. The method of claim 1 , wherein said monitor well collects data from one or more adjacent operation wells.
4. The method of claim 1 , wherein said characterizing step includes modeling the stress shadow, displacement, fracture propagation velocity, or a combination thereof.
5. The method of claim 1 , further comprising repeating the method for multiple fractures in said hydrocarbon reservoir.
6. The method of claim 1 , further comprising repeating the method for multiple horizontal operation wells, wherein one or more horizontal operation wells are used as horizontal monitor wells for adjacent operation wells.
7. A method of improving stimulated reservoir volume in a hydrocarbon reservoir comprising:
a) providing a hydrocarbon reservoir comprising at least one operation well, at least one horizontal monitor well, and at least one vertical monitor well,
wherein at least one horizontal monitor well comprises a distributed acoustic sensing (DAS) fiber, and at least one vertical monitor well comprises a DAS fiber;
b) monitoring a DAS signal while fracturing said operation well in a fracture stimulation with pre-determined fracturing parameters to form a set of fractures;
c) processing the DAS signal to model fracture properties in the hydrocarbon reservoir
wherein the DAS signal is down-sampled to 1 s after a low-pass anti-aliasing filter (0-0.5 Hz) to obtain Low-Frequency DAS data;
d) characterizing the length, density, width, and height of said fractures;
e) updating said pre-determined fracturing parameters based on said characterizing step;
f) performing a second fracturing stimulation stage; and,
g) producing hydrocarbons.
8. The method of claim 7 , wherein said DAS fiber is a permanently installed DAS fiber or a temporary drop-in DAS fiber.
9. The method of claim 7 , wherein said monitor well collects data from one or more adjacent operation wells.
10. The method of claim 7 , wherein said characterizing step includes modeling the stress shadow, displacement, fracture propagation velocity, or a combination thereof.
11. The method of claim 7 , further comprising repeating the method for multiple fractures in said hydrocarbon reservoir.
12. The method of claim 7 , further comprising repeating the method for multiple horizontal operation wells, wherein one or more horizontal operation wells are used as horizontal monitor wells for adjacent horizontal operation wells.
13. A computer-implemented method for modeling the stimulated reservoir volume (SRV) of a hydrocarbon reservoir, the method comprising:
a) providing a hydrocarbon reservoir comprising at least one operation well, at least one horizontal monitor well, and at least one vertical monitor well,
b) wherein at least one horizontal monitor well comprises a distributed acoustic sensing (DAS) fiber, and at least one vertical monitor well comprises a DAS fiber;
c) monitoring a DAS signal while fracturing said operation well in a fracture stimulation with pre-determined fracturing parameters to form a set of fractures;
d) processing the DAS signal to model fracture properties in the hydrocarbon reservoir
wherein the DAS signal is down-sampled to 1 s after a low-pass anti-aliasing filter (0-0.5 Hz)to obtain Low-Frequency DAS data;
e) identifying said set of fractures formed in said fracturing step; and,
f) characterizing the length, density, width, or height of said fractures.
14. The method of claim 11 , wherein said DAS fiber is a permanently installed DAS fiber or a temporary drop-in DAS fiber.
15. The method of claim 11 , wherein said monitor well collects data from one or more adjacent operation wells.
16. The method of claim 11 , wherein said characterizing step includes modeling the stress shadow, displacement, fracture propagation velocity, or a combination thereof.
17. The method of claim 11 , further comprising repeating the method for multiple fractures in said hydrocarbon reservoir.
18. The method of claim 11 , further comprising repeating the method for multiple horizontal operation wells, wherein one or more horizontal operation wells are used as horizontal monitor wells for adjacent operation wells.