Abstract: A method for estimating a property of an earth formation includes: obtaining a sample of rock; scanning the sample to determine internal rock damage; measuring a deformation parameter of the sample; constructing a mathematical model of the sample that replicates the determined and measured internal rock damage distribution; simulating the one or more tests using the mathematical model; obtaining a rock deformation parameter using the one or more simulated tests corresponding to the measured rock deformation parameter; comparing the rock deformation parameter obtained from the one or more simulated tests to the corresponding measured rock deformation parameter; adjusting parameters of the mathematical model based upon the rock parameter obtained from simulation not being within a selected range of the measured rock parameter; and providing the mathematical model as a verified mathematical model based upon the rock parameter obtained from simulation being within a selected range of the measured rock parameter.

Abstract: A scanning and monitoring glove system includes a glove member having a palm portion, a thumb portion and a plurality of finger portions, a product scanner integrated into the glove member, a digital camera integrated into one of the plurality of finger portions of the glove member, and a biometric scanning device integrated into the glove member. The biometric scanning device being operable to sense biometric data associated with a wearer of the glove member.

Abstract: Examples of techniques for determining robustness of a discrete fracture network (DFN) permeability estimate are disclosed. In one example implementation according to aspects of the present disclosure, a method may include: receiving a DFN of an earth formation of interest, the DFN comprising a plurality of connected fractures; determining a directional equivalent permeability of the plurality of connected fractures of the DFN using a numerical upscaling method; and determining the robustness of the directional equivalent permeability.

Abstract: A method for computing a production rate of hydrocarbons from an earth formation includes: obtaining information about a discrete fraction network relating to locations, orientations and apertures of fractures; computing an average distance of the fractures to a wellbore penetrating the formation and a standard deviation of the distances; computing an average velocity of fluid from each of the fractures to the wellbore and a standard deviation of the velocities; computing a characteristic time representing a time for fluid to flow from each fracture to the wellbore and a standard deviation of the characteristic times; computing a range of hydrocarbon production rates using the characteristic time and the standard deviation of the characteristic times to provide the range of hydrocarbon production rates as a function of standard deviation values; and providing a graph of the range of hydrocarbon production rates as a function of standard deviation values.

Abstract: A method for determining a connectivity of at least one fracture to other fractures in an earth formation includes: obtaining connectivity information for each fracture of interest in the earth formation where the connectivity information for each fracture of interest includes connections with other fractures. The method further includes converting the connectivity information for each fracture of interest into a conjunctive normal form and determining the connectivity of the at least one fracture to other fractures by solving the connectivity information for each fracture of interest in the conjunctive normal form using a Boolean Satisfiability problem solver.

Abstract: A method for estimating a permeability of an earth formation includes: receiving a discrete fracture network (DFN) of the earth formation; representing the DFN as one or more volume sections, each volume section having a plurality of boundaries; identifying fractures that are connected to each other and lead from a first boundary in the plurality of boundaries to a second boundary in the plurality of boundaries to provide one or more flow paths for each volume section; applying Oda's method to the connected fractures making up the one or more flow paths to estimate the permeability of the earth formation along the one or more flow paths for each volume section to provide a permeability value for each volume section; and performing an action related to the earth formation using the permeability value for each volume section and an apparatus related to the action.

Abstract: A method of simulating a dynamic system includes receiving input data and applying the input data to a numerical forward model, and executing the forward model to simulate the dynamic system and generate solution data values. The method also includes, during execution of the forward model, comparing the solution data values to a pre-selected criterion. The method further includes, in response to at least one solution data value satisfying the pre-selected criterion, automatically generating a time mark for a time at which the at least one solution data value satisfied the pre-selected criterion and automatically outputting one or more solution data values associated with the time mark.

Abstract: A method for stimulating an earth formation according to a stimulation scenario for extracting hydrocarbons from the earth formation includes: selecting an earth formation stimulation scenario; applying a modified Mohr-Coulomb model that is configured to estimate behavior of a rock formation during the stimulation scenario, the modified Mohr-Coulomb model having a term representing dilatation in an out-of-plane orientation; predicting a fracture and damage network using the modified Mohr-Coulomb model; converting the fracture and damage network into permeability; simulating fluid flow in the earth formation using the permeability to predict hydrocarbon production; computing a value of a metric for hydrocarbon production for the selected stimulation scenario; iterating the selecting, applying, predicting, converting, simulating, and computing until the metric value meets or exceeds a threshold value; and stimulating the earth formation using a stimulation treatment system according to the stimulation scenario

Abstract: A method for estimating an upscaled directional permeability of a formation includes: receiving a discrete fracture network (DFN), aligning the DFN in a desired direction; cropping the DFN to a desired size having boundaries. The method further includes identifying a fracture plane or fracture planes that are connected with each other and establish a path between the boundaries of the cropped DFN and creating a pipe model of the identified fracture plane or planes that includes one or more conduits connecting one boundary to another boundary. The method further includes creating a system of equations representing flows through the conduits, applying boundary conditions to the system of equations; solving the system of equations for steady-state flow to estimate the upscaled directional permeability of the formation. The method steps can be iterated for another desired direction if the upscaled directional permeability is wanted for the another desired direction.

Abstract: A method for removing a core sample from a borehole includes: taking the core sample within the borehole with a sampling tool; generating a model of the core sample, the model based on data representing properties of the core sample; defining a plurality of proposed tripping schedules; applying, by a processor, the plurality of proposed tripping schedules to the model, and estimating a core parameter for each of the plurality of proposed tripping schedules; comparing the core parameter to a criteria; and selecting a suitable tripping schedule based on the comparison.

Abstract: A method for removing a core sample from a borehole includes: taking the core sample within the borehole with a sampling tool; generating a model of the core sample, the model based on data representing properties of the core sample; defining a plurality of proposed tripping schedules; applying, by a processor, the plurality of proposed tripping schedules to the model, and estimating a core parameter for each of the plurality of proposed tripping schedules; comparing the core parameter to a criteria; and selecting a suitable tripping schedule based on the comparison.