Fracturing and reactivated fracture volumes

Patent metadata

Field	Value
Publication number	US-10788604-B2
Application number	US-201514723148-A
Country	US
Kind code	B2
Filing date	May 27, 2015
Priority date	Jun 25, 2014
Publication date	Sep 29, 2020
Grant date	Sep 29, 2020

Abstract

A method can include receiving mechanical information of a geologic environment and location information of natural fractures of the geologic environment; using a model of the geologic environment, calculating at least strain associated with hydraulic fracturing in the geologic environment; calculating at least microseismicity event locations based at least in part on the calculated strain; calibrating the model based at least in part on the calculated microseismicity event locations and based at least in part on measured microseismicity information associated with the geologic environment to provide a calibrated model; and, using the calibrated model, determining an increase in reactivated fracture volume associated with hydraulic fracturing in the geologic environment.

First claim

What is claimed is:

1. A method comprising:
receiving mechanical information of a geologic environment and location information of natural fractures of the geologic environment wherein the location information of the natural fractures comprises location information of a discrete fracture network;
using a computational model of the geologic environment, calculating at least strain associated with hydraulic fracturing in the geologic environment;
calculating at least microseismicity event locations using the calculated strain wherein the calculating at least microseismicity event locations comprises calculating microseismicity event locations based at least in part on elasto-plastic deformation in cells of the computational model as crossed by discrete fractures of the discrete fracture network;
after the calculating, calibrating the computational model based at least in part on the calculated microseismicity event locations and based at least in part on measured microseismicity information associated with the geologic environment to provide a calibrated computational model, wherein the measured microseismicity information is acquired via one or more sensors during hydraulic fracturing;
after the calibrating, using the calibrated computational model, determining an increase in reactivated fracture volume associated with the hydraulic fracturing in the geologic environment, wherein the reactivated fracture volume comprises and exceeds an interconnected fracture volume;
modeling a subsequent stage of hydraulic fracturing using the calibrated computational model to generate results; and
based at least in part on the results, instructing equipment to perform the subsequent stage of hydraulic fracturing to further increase the reactivated fracture volume in the geologic environment.

2. The method of claim 1 further comprising forecasting production of the geologic environment based at least in part on the reactivated fracture volume.

3. The method of claim 1 wherein the calculating at least microseismicity event locations comprises calculating event magnitudes.

4. The method of claim 1 wherein the mechanical information comprises mechanical information of a multidimensional mechanical earth model.

5. The method of claim 1 wherein the determining an increase in reactivated fracture volume comprises decomposing a plastic strain tensor into normal and shear components on discontinuity planes.

6. The method of claim 5 further comprising, based at least in part on normal components of the plastic strain tensor on discontinuity planes, calculating aperture changes for discontinuities.

7. The method of claim 1 wherein the calculating at least strain comprises calculating values of a plastic strain tensor.

8. The method of claim 7 wherein the calculating at least microseismicity event locations comprises projecting the values of the plastic strain tensor on discontinuity planes of the model before the hydraulic fracturing to obtain a reference value for cumulated plastic strain during initialization and/or for plastic strain related to history of material of the geologic environment.

9. The method of claim 8 comprising projecting the plastic strain tensor on the discontinuity planes during at least opening of one or more hydraulic fractures of the hydraulic fracturing.

10. The method of claim 9 wherein an increase in the projected shear plastic strain, with respect to the referential value, on a fracture is interpreted as a microseismic event.

11. The method of claim 10 wherein magnitude of a microseismic event is computed from the plastic strain tensor and a stiffness matrix as dependent on mechanical properties of fractured material in the geologic environment.

12. A system comprising:
a processor;
memory operatively coupled to the processor; and
one or more modules that comprise processor-executable instructions stored in the memory to instruct the system to
receive mechanical information of a geologic environment and location information of natural fractures of the geologic environment wherein the location information of the natural fractures comprises location information of a discrete fracture network;
use a computational model of the geologic environment to calculate at least strain associated with hydraulic fracturing in the geologic environment;
calculate at least microseismicity event locations using the calculated strain wherein to calculate at least microseismicity event locations comprises calculation of microseismicity event locations based at least in part on elasto-plastic deformation in cells of the computational model as crossed by discrete fractures of the discrete fracture network;
after calculation of the at least microseismicity event locations, calibrate the computational model based at least in part on the calculated microseismicity event locations and based at least in part on measured microseismicity information associated with the geologic environment to provide a calibrated computational model, wherein the measured microseismicity information is acquired via one or more sensors during hydraulic fracturing;
after calibration of the computational model, use the calibrated computational model to determine an increase in reactivated fracture volume associated with the hydraulic fracturing in the geologic environment, wherein the reactivated fracture volume comprises and exceeds an interconnected fracture volume;
model a subsequent stage of hydraulic fracturing using the calibrated computational model to generate results; and
based at least in part on the results, instruct equipment to perform the subsequent stage of hydraulic fracturing to further increase the reactivated fracture volume in the geologic environment.

13. The system of claim 12 further comprising instructions to instruct the system to forecast production of the geologic environment based at least in part on the reactivated fracture volume.

14. The system of claim 12 wherein the instructions to calculate at least microseismicity event locations comprise instructions to calculate event magnitudes.

15. One or more non-transitory computer-readable storage media comprising computer-executable instructions to instruct a computer to:
receive mechanical information of a geologic environment and location information of natural fractures of the geologic environment wherein the location information of the natural fractures comprises location information of a discrete fracture network;
use a computational model of the geologic environment to calculate at least strain associated with hydraulic fracturing in the geologic environment;
calculate at least microseismicity event locations using the calculated strain wherein to calculate at least microseismicity event locations comprises calculation of microseismicity event locations based at least in part on elasto-plastic deformation in cells of the computational model as crossed by discrete fractures of the discrete fracture network;
after calculation of the at least microseismicity event locations, calibrate the computational model based at least in part on the calculated microseismicity event locations and based at least in part on measured microseismicity information associated with the geologic environment to provide a calibrated computational model, wherein the measured microseismicity information is acquired via one or more sensors during hydraulic fracturing;
after calibration of the computational model, use the calibrated computational model to determine an increase in reactivated fracture volume associated with the hydraulic fracturing in the geologic environment, wherein the

Assignees

• Schlumberger Technology Corp

Inventors

• Garcia-Teijeiro Xavier
• Koutsabeloulis Nikolaos Constantinos
• Krzikalla Fabian
• Rodriguez-Herrera Adrian
• Pena Olarte Andres Alfonso
• Minton James

Classifications

• G01V1/288 Primary

  Event detection in seismic signals, e.g. microseismics (G01V1/36 takes precedence) · CPC title

• G01V11/00

  Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00 · CPC title

• E21B43/00

  Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells (applicable only to water E03B) · CPC title

• E21B47/0224

  using seismic or acoustic means · CPC title

• G01V2210/123

  Passive source, e.g. microseismics · CPC title