Generation of fracture networks using seismic data

1. A method for constructing a fracture network, the method comprising:

receiving seismic data collected from a stimulation operation in an earth formation, the stimulation operation including injection of fluid into the formation, the seismic data including seismic event data including a first seismic event associated with a first time increment and a second seismic event associated with a subsequent second time increment; and

constructing a fracture network model by:

constructing an initial portion of the model based on the first seismic event, the initial portion representing a fracture network including a fracture constructed based on the first seismic event;

estimating a location of the second seismic event; and

subsequently updating the initial portion of the model based on the second seismic event based on an assumption that the first seismic event and the second seismic event occur within propagating fluid or at a propagating fluid front, wherein updating includes estimating a distance between the location and the constructed fracture, and performing one of:

elongating the constructed fracture by extending a length of the constructed fracture based on a normal component of the distance being within a selected distance range; and

selecting a new fracture and connecting the new fracture to the constructed fracture based on the normal component of the distance exceeding the selected distance range the new fracture having an orientation that is different than the constructed fracture.

2. The method of claim 1 , further comprising receiving fracture data for the earth formation, constructing the initial portion on the fracture data and the first seismic event, and subsequently updating the initial portion based on the second seismic event and the fracture data.

3. The method of claim 1 , wherein the seismic event data includes additional seismic events, each of the additional seismic events having an associated time increment, and constructing the fracture network model includes incrementally updating the fracture network model by successively applying each additional seismic event according to the temporal progression of the additional seismic events.

4. The method of claim 1 , wherein constructing the fracture network model includes, for each time increment, comparing a distance between an associated seismic event and a constructed fracture in the fracture network model and updating the fracture network model based on the comparison.

5. The method of claim 4 , wherein updating the fracture network includes:

based on the normal component of the distance being within a selected normal distance range, associating the associated seismic event with the constructed fracture;

based on the normal component being within the selected normal distance range and a parallel component of the distance being within a selected parallel distance range, elongating the constructed fracture; and

based on the normal component exceeding the selected normal distance range and the parallel component exceeding the selected parallel distance range, adding the new fracture to connect the associated seismic event to the constructed fracture.

6. The method of claim 5 , wherein the fracture network model is a discrete fracture network (DFN) model, and adding the new fracture includes selecting parameters for the new fracture from a fracture set obtained from fracture data received for the earth formation.

7. The method of claim 5 , wherein the fracture network model is a discrete fracture network (DFN) model, adding the new fracture includes selecting a fracture from a plurality of fracture sets defining fracture parameters, the plurality of fracture sets obtained from fracture data received for the earth formation, and selecting the fracture includes setting a weight for each fracture set based on at least one of geomechanical parameters and moment tensor information.

8. The method of claim 6 , wherein adding the new fracture includes selecting an orientation parameter from one of a plurality of fracture sets, and selecting additional parameters based on an uncertainty range of geometric parameters and a range of density parameters.

9. The method of claim 8 , further comprising analysing the constructed model to estimate characteristics of an associated fracture network including at least one of density and geometric characteristics.

10. The method of claim 5 , wherein adding the new fracture includes selecting an orientation of the new fracture based on a location of the associated seismic event relative to an additional seismic event having a time increment that is different than the time increment of the associated seismic event.

11. The method of claim 1 , wherein the fracture network model is a discrete fracture network (DFN) model including a plurality of fractures placed based on the fracture data and the seismic data.

12. The method of claim 1 , wherein constructing the initial portion of the model includes constructing a plurality of fractures based on the fracture data and subsequently updating one of the plurality of fractures based on a location of the first seismic event, and updating the initial portion of the model includes updating a fracture in the initial portion of the model based on a location of the second seismic event.

13. The method of claim 1 , wherein the seismic event data is microseismic event data collected by passively monitoring seismic signals generated by the stimulation operation.

14. A system for constructing a fracture network, the system comprising:

a carrier configured to be disposed in a borehole in an earth formation, the carrier configured to perform a stimulation operation in the earth formation the stimulation operation including injection of fluid into the formation;

estimating a location of the second seismic event; and

a processor configured to perform:

receiving seismic event data collected for the stimulation operation, the seismic event data including a first seismic event associated with a first time increment and a second seismic event associated with a subsequent second time increment;

constructing a fracture network model by:

constructing an initial portion of the model based on the first seismic event, the initial portion representing a fracture network including a fracture constructed based on the first seismic event; and

subsequently updating the initial portion of the model based on the second seismic event based on an assumption that the first seismic event and the second seismic event occur within propagating fluid or at a propagating fluid front, wherein updating includes estimating a distance between the location and the constructed fracture, and performing one of:

elongating the constructed fracture by extending a length of the constructed fracture based on a normal component of the distance being within a selected distance range; and

selecting a new fracture and connecting the new fracture to the constructed fracture based on the normal component of the distance exceeding the selected distance range the new fracture having an orientation that is different than the constructed fracture.

15. The system of claim 14 , wherein the seismic event data includes additional seismic events, each of the additional seismic events having an associated time increment, and constructing the fracture network model includes incrementally updating the fracture network model by successively applying each additional seismic event according to the temporal progression of the additional seismic events.

16. The system of claim 14 , wherein constructing the fracture network model includes, for each time increment, comparing a distance between an associated seismic event and a constructed fracture in the fracture network model and updating the fracture network model based on the comparison.

17. The system of claim 16 , wherein updating the fracture network includes:

based on the normal component of the distance being within a selected normal distance range, associating the associated seismic event with the constructed fracture;

based on the normal component being within the selected normal distance range and a parallel component of the distance being within a selected parallel distance range, elongating the constructed fracture; and

based on the normal component exceeding the selected normal distance range and the parallel component exceeding the selected parallel distance range, adding the new fracture to connect the associated seismic event to the constructed fracture.

18. The system of claim 17 , wherein the fracture network model is a discrete fracture network (DFN) model, and adding the new fracture includes selecting parameters for the new fracture from a fracture set obtained from fracture data received for a stimulation operation.

19. The system of claim 14 , wherein the processor is configured to receive fracture data for an earth formation, construct the initial portion based on the fracture data and the first seismic event, and subsequently update the initial portion based on the fracture data and the second seismic event.