Method for estimating permeability of fractured rock formations from induced slow fluid pressure waves
An embodiment in accordance with the present invention includes a method for estimating the permeability of fractured rock formations from the analysis of a slow fluid pressure wave, which is generated by pressurization of a borehole. Wave propagation in the rock is recorded with TFI™. Poroelastic theory is used to estimate the permeability from the measured wave speed. The present invention offers the opportunity of measuring the reservoir-scale permeability of fractured rock, because the method relies on imaging a wave, which propagates through a large rock volume, on the order of kilometers in size. Traditional methods yield permeability for much smaller rock volumes: well logging tools only measure permeability in the vicinity of a borehole. Pressure transient testing accesses larger rock volumes; however, these volumes are much smaller than for the proposed method, particularly in low-permeability rock formations.
1. A method, comprising:
imaging, by a device, a fluid pressure wave, generated in a perforated portion of a borehole, to produce imaging data;
analyzing, by the device, the imaging data to identify a wave front of the fluid pressure wave as a function of time;
determining, by the device and based on identifying the wave front of the fluid pressure wave as a function of time, a speed at which the wave front of the fluid pressure wave is moving through a geological feature,
wherein the speed at which the wave front of the fluid pressure wave is moving through the geological feature is determined as a function of a three dimensional (3D) position; and
determining, by the device and using poroelastic theory, a 3D permeability field for the geological feature based on determining the speed of at which the wave front of the fluid pressure wave is moving through the geological feature.
2. The method of claim 1 , further comprising:
generating the fluid pressure wave by injecting a fluid into the borehole.
3. The method of claim 2 , wherein the fluid is at least one of:
a liquid,
a gas, or
a supercritical fluid.
4. The method of claim 1 , further comprising:
determining a bottom borehole fluid pressure as a function of time; and
characterizing, based on determining the bottom borehole fluid pressure as a function of time, a transient behavior of a source of the fluid pressure wave.
5. The method of claim 1 , further comprising:
determining an acceleration of the wave front of the fluid pressure wave; and
characterizing, based on determining the acceleration of the wave front of the fluid pressure wave, a transient behavior of a source of the fluid pressure wave.
6. The method of claim 1 , further comprising:
processing seismic data via an imaging technique; and
determining, based on processing the seismic data, an arrival time, of the wave front the fluid pressure wave, at a central surface of a transmissive fracture network.
7. The method of claim 1 , further comprising:
determining a transmissive fracture network based on analyzing the imaging data.
8. A device, comprising:
a memory; and
one or more processors to:
image a fluid pressure wave, generated in a perforated portion of a borehole, to produce imaging data;
analyze the imaging data to identify a wave front of the fluid pressure wave in three dimensions;
determine, based on identifying the wave front of the fluid pressure wave, a velocity at which the wave front of the fluid pressure wave is moving through a geological feature in the three dimensions; and
determine, using a poroelastic theory and based on the velocity at which the wave front of the fluid pressure wave is moving through the geological feature in the three dimensions, a permeability of the fluid pressure wave.
9. The device of claim 8 , where the one or more processors, when imaging the fluid pressure wave, are to:
image the fluid pressure wave using tomographic fracture imaging or seismic emission tomography.
10. The device of claim 8 , where the one or more processors, when imaging the fluid pressure wave, are to:
image the fluid pressure wave using a measurement of pore fluid pressure from a pressure sensor in the borehole.
11. The device of claim 8 , where the one or more processors, when imaging the fluid pressure wave, are to:
image the fluid pressure wave using a measurement of pore fluid pressure from a pressure sensor in another borehole.
12. The device of claim 8 , where the one or more processors are further to:
determine a bottom borehole fluid pressure as a function of time; and
characterize, based on determining the bottom borehole fluid pressure as a function of time, a transient behavior of a source of the fluid pressure wave.
13. The device of claim 8 , where the one or more processors are further to:
determine an acceleration of the wave front of the fluid pressure wave; and
characterize, based on determining the acceleration of the wave front of the fluid pressure wave, a transient behavior of a source of the fluid pressure wave.
14. The device of claim 8 , where the one or more processors are further to:
process seismic data via an imaging technique; and
determine, based on processing the seismic data, an arrival time of the wave front of the fluid pressure wave at a central surface of a transmissive fracture network.
15. A non-transitory computer-readable medium storing instructions, the instructions comprising:
one or more instructions that, when executed by one or more processors, cause the one or more processors to:
image a fluid pressure wave, generated in a borehole, to produce imaging data;
analyze the imaging data to identify a wave front of the fluid pressure wave in three dimensions as a function of time;
determine, based on identifying the wave front of the fluid pressure wave as a function of time, a speed at which the wave front of the fluid pressure wave is moving through a geological feature as a function of a three dimensional (3D) position; and
determine, using a poroelastic theory and based on the speed at which the wave front of the fluid pressure wave is moving through the geological feature as a function of the 3D position, a permeability of the fluid pressure wave.
16. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, that cause the one or more processors to image the fluid pressure wave, cause the one or more processors to:
image the fluid pressure wave using:
tomographic fracture imaging,
seismic emission tomography,
a measurement of pore fluid pressure from a pressure sensor in the borehole, or
a measurement of pore fluid pressure from a pressure sensor in another borehole.
17. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:
determine a bottom borehole fluid pressure as a function of time; and
characterize, based on determining the bottom borehole fluid pressure as a function of time, a transient behavior of a source of the fluid pressure wave.
18. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:
determine an acceleration of the wave front of the fluid pressure wave; and
characterize, based on determining the acceleration of the wave front of the fluid pressure wave, a transient behavior of a source of the fluid pressure wave.
19. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:
process seismic data via an imaging technique; and
determine, based on processing the seismic data, an arrival time of the wave front of the fluid pressure wave at a central surface of a transmissive fracture network.
20. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:
determine a transmissive fracture network based on analyzing the imaging data.