In accordance with some embodiments of the present disclosure, a method of modeling a downhole drilling tool is disclosed. The method may include obtaining microseismic data corresponding to a treatment of a subterranean region, the microseismic data including a microseismic event time for each of a plurality of microseismic events, and a microseismic event location for each of the plurality of microseismic events. The method may additionally include calculating a plurality of fracture planes based upon the microseismic event times, and calculating a closed boundary enclosing a first subset of the plurality of fracture planes. The method may further include identifying a microseismic supported stimulated reservoir volume (μSRN) for the treatment based on the closed boundary.

A method of performing a stimulation operation for a subterranean formation penetrated by a wellbore is provided. The method involves collecting pressure measurements of an isolated interval of the wellbore during injection of an injection fluid therein, generating a fracture closure from the pressure measurements, generating transmissibility based on the fracture closure and a mini fall off test of the isolated interval during the injection, obtaining fracture geometry from images of the subterranean formation about the isolated interval, and generating system permeability from the transmissibility and the fracture geometry. The method may also involve deploying a wireline stimulation tool into the wellbore, isolating an interval of the wellbore and injecting fluid into the interval with the wireline stimulation tool. The fracture geometry may be obtained by imaging the formation, and fracture geometry may be obtained from core sampling.

A method can include receiving acoustic emission data for acoustic emissions originating in a formation, performing a moment tensor analysis of the data, thereby yielding acoustic emission source parameters, determining at least one acoustic emission source parameter angle having a highest number of associated acoustic emission events, and calculating an in situ stress parameter, based on the acoustic emission source parameter angle. A system can include multiple sensors that sense acoustic emissions originating in a formation, and a computer including a computer readable medium having instructions that cause a processor to perform a moment tensor analysis of the data and yield acoustic emission source parameters, determine at least one acoustic emission source parameter angle having a highest number of associated acoustic emission events, and calculate an in situ stress parameter, based on the acoustic emission source parameter angle.

A method for obtaining a maximum horizontal stress at a depth of a geological formation, includes: setting an estimate S.sub.Hmax of the maximum horizontal stress; conducting an elastoplastic modeling simulation of the geological formation around a wellbore with the estimate S.sub.Hmax and obtaining a simulated value ϕ.sub.b,1 of a breakout angle, wherein the breakout angle is a half-width of a breakout region; and upon determining that the estimate ϕ.sub.b,1 is greater than or equal to a prescribed value and is different from a measured breakout angle ϕ.sub.b,m at the depth by more than a threshold value, repeatedly changing the estimate S.sub.Hmax and conducting the elastoplastic modeling simulation.

A system for monitoring and establishing mechanical properties of a formation may include a strain sensing system and a controller. The strain sensing system may include an elongated fiber, a light emitter, and a detector. The elongated fiber may be or may include a fiber optic cable. Monitoring and establishing mechanical properties of a wellbore may include determining a stress applied to a casing of a length of the wellbore and sensing, with the strain sensing system, a strain that may be resultant from the stress applied to the casing. Based on the stress applied to the casing and the sensed strain, the controller may determine a value related to a mechanical property of the formation extending along the wellbore.

The present disclosure provides a fine identification method of a tight reservoir fracture based on conventional logging data. The method includes: eliminating a logging interference factor from a non-fracture response, choosing a basic lithological background for fracture identification, analyzing logging response features on different fracture scales, analyzing fracture aperture and filling features on a scale that can be identified by conventional logging data, identifying occurrence of an open fracture, and identifying a development degree of a fracture through a relative amplitude difference between a deep resistivity and a bedrock resistivity. The method of the present disclosure is suited for fine evaluation of a tight reservoir fracture. Compared with a traditional method, the present disclosure improves systematicness and geological compliance of conventional logging to identify large-scale fractures, and further analyzes micro-scale fracture identification, providing technical support and an analysis method for tight reservoir development.

Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving a density log and a compressional slowness log measured in a wellbore located in a formation; generating, based on at least one of the density log or the compressional slowness log, a reference compressional slowness log; determining, for an interval in the formation, a relationship between the compressional slowness log and the reference compressional slowness log; generating, based on the relationship and known pressure information in the interval, a pressure scale for the formation; and using the pressure scale to calculate pressure in the interval.

A method of testing mechanical properties of an earth formation can include disposing a probe in a wellbore, impacting the probe against a wall of the wellbore, and measuring a parameter related to at least one of a displacement, displacement rate, strain, and strain rate, of at least one of the probe and the formation. Another method can include disposing a probe and a known material in a wellbore, and after the disposing, penetrating the known material with the probe. Another method can include disposing a probe in a wellbore, measuring a displacement of the probe into a wall of the wellbore while measuring a load applied to the probe, and applying fluid pressure to the formation via the probe.

Methods of monitoring a geometric property of a hydraulic fracture within a subsurface region, wells that perform the methods, and storage media that direct computing devices to perform the methods provided. The methods include repeatedly measuring, at a plurality of measurement times, fiber strain as a function of position along a length of an optical fiber. The optical fiber is positioned within a wellbore that extends within a subsurface region and the repeatedly measuring is performed during a change in the geometric property of the hydraulic fracture. For a given measurement time of the plurality of measurement times, the methods also include differentiating the fiber strain as the function of position to generate a strain differential as a function of position along the length of the optical fiber. The methods further include determining the geometric property of the hydraulic fracture based, at least in part, on the strain differential.

A method of determining borehole characteristics comprises arranging at least one sensing fiber along a borehole, causing pressure changes in the borehole, and measuring strain along the sensing fiber to obtain strain data. The strain data obtained thereby can be interpreted, for example, to determine borehole fracture geometry and to determine borehole perforation cluster efficiency. These results can be used to improve well completion and stimulation designs, increase field production, and/or decrease costs.